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  "platform": "telegram",
  "session_start": "2026-04-03T03:00:40.373762",
  "last_updated": "2026-04-03T03:02:14.048366",
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      "content": "Research how to use Mistral AI API credits ($10 balance) as of April 2026. Specifically: 1) Current pricing per model (Mistral Large, Codestral, Mistral Small, etc.), 2) Whether there's an OpenAI-compatible API endpoint, 3) What the free tier includes and why it's hard to exhaust, 4) Whether credits expire, 5) Best strategy to actually use $10 in credits. Return detailed findings."
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      "content": "{\n  \"success\": true,\n  \"data\": {\n    \"web\": [\n      {\n        \"title\": \"Mistral Large 3 2512 API Pricing 2026 - Price Per Token\",\n        \"url\": \"https://pricepertoken.com/pricing-page/model/mistral-ai-mistral-large-2512\",\n        \"description\": \"Try Price Per Token MCP. Price Per TokenPrice Per Token. # Mistral Large 3 2512 API Pricing 2026. Compare pricing, benchmarks, and providers for Mistral Large 3 2512. Mistral Large 3 2512was released on **December 1, 2025**. Compare Mistral Large 3 2512 with 0 similar models by price. ## Current Pricing (per 1M tokens). \\\\* Some models use tiered pricing based on prompt length. Mistral Large 3 2512 is available from multiple providers with different pricing and availability. How does Mistral Large 3 2512 perform? Compare Mistral Large 3 2512's benchmark performance against all models. ## Try Mistral Large 3 2512. ## Compare Mistral Large 3 2512. Mistral Large 3 2512 costs $0.000500 per 1,000 input tokens and $0.001500 per 1,000 output tokens. Mistral Large 3 2512 is available from 0 provider(s). We compare Mistral Large 3 2512 with 0 similarly-priced models. ## All Mistral AI Models. See pricing for all Mistral AI models. #### Models & Pricing.\",\n        \"position\": 1\n      },\n      {\n        \"title\": \"Mistral Medium 3 API Pricing 2026 - Costs, Performance & Providers\",\n        \"url\": \"https://pricepertoken.com/pricing-page/model/mistral-ai-mistral-medium-3\",\n        \"description\": \"Try Price Per Token MCP. # Mistral Medium 3 API Pricing 2026. Compare pricing, benchmarks, and providers for Mistral Medium 3. Mistral Medium 3was released on **May 7, 2025**. Compare Mistral Medium 3 with 0 similar models by price. | MI Mistral AI | Mistral Medium 3 | $0.400 | $2.000 | 40.0 | 76.0 | 57.8 | 131,072 | Try |. \\\\* Some models use tiered pricing based on prompt length. Mistral Medium 3 is available from multiple providers with different pricing and availability. How does Mistral Medium 3 perform? Compare Mistral Medium 3's benchmark performance against all models. ## Try Mistral Medium 3. ## Compare Mistral Medium 3. Mistral Medium 3 costs $0.000400 per 1,000 input tokens and $0.002000 per 1,000 output tokens. Mistral Medium 3 is available from 0 provider(s). We compare Mistral Medium 3 with 0 similarly-priced models. ## All Mistral AI Models. See pricing for all Mistral AI models. #### Models & Pricing.\",\n        \"position\": 2\n      },\n      {\n        \"title\": \"Mistral AI Solution Overview: Models, Pricing, and API | Obot AI\",\n        \"url\": \"https://obot.ai/resources/learning-center/mistral-ai/\",\n        \"description\": \"Mistral Small: Input is priced at $1 per 1M tokens and output at $3 per 1M tokens. Mistral Medium: With an input cost of $2.75 per 1M tokens and\",\n        \"position\": 3\n      },\n      {\n        \"title\": \"AI & LLM Model Pricing - Real-time API Costs - Vizra ADK\",\n        \"url\": \"https://vizra.ai/ai-llm-model-pricing\",\n        \"description\": \"AI Model Pricing Comparison ; mistral/mistral-small, Mistral, $0.10 ; mistral/devstral-small-2505, Mistral, $0.10 ; mistral/devstral-small-2507, Mistral, $0.10\",\n        \"position\": 4\n      },\n      {\n        \"title\": \"What is Mistral AI? Features, Pricing, and Use Cases - Walturn\",\n        \"url\": \"https://www.walturn.com/insights/what-is-mistral-ai-features-pricing-and-use-cases\",\n        \"description\": \"With full deployability, fine-tuning support, and competitive pricing, it enables enterprises to build and manage AI solutions locally or via APIs. Mistral’s modular architecture empowers teams needing AI transparency and control over infrastructure. Mistral AI is a fast-rising open-source AI company focused on delivering high-performance, commercially viable large language models with enterprise-grade flexibility. Mistral AI provides a suite of open-weight models across general-purpose, domain-specific, and multimodal use cases. **Custom AI Assistants**: Build task-specific agents using Mistral’s open models, with complete control over training, prompts, and deployment logic. **Versus Together AI and Fireworks AI**: Mistral aligns closely with Together in offering open-weight model access, but provides more extensive tooling for vision and document tasks. As global regulatory pressure increases and demand for infrastructure flexibility rises, Mistral’s open model catalog and enterprise-friendly tooling could enable a new standard for responsible, high-performance AI deployment. Walturn helps you harness Mistral’s open models to build compliant, fine-tuned AI solutions across vision, code, and verticals—fully under your control.\",\n        \"position\": 5\n      }\n    ]\n  }\n}",
      "tool_call_id": "toolu_01HAsnv6h6FfEU1Chu7au7rW"
    },
    {
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      "content": "{\n  \"success\": true,\n  \"data\": {\n    \"web\": [\n      {\n        \"title\": \"Use Mistral Le Platforme via Generic OpenAI API Compatible API #262\",\n        \"url\": \"https://github.com/acon96/home-llm/discussions/262\",\n        \"description\": \"I used \\\"Generic OpenAI API Compatible API\\\" to setup access to https://api.mistral.ai/. Setup works and the agent is there. When firing a query against it\",\n        \"position\": 1\n      },\n      {\n        \"title\": \"Access Mistral Using OpenAI-Compatible API - Puter.js\",\n        \"url\": \"https://developer.puter.com/tutorials/access-mistral-using-openai-compatible-api/\",\n        \"description\": \"In this tutorial, you'll learn how to access Mistral models using the OpenAI SDK through Puter's OpenAI-compatible endpoint. No Mistral API key\",\n        \"position\": 2\n      },\n      {\n        \"title\": \"OpenAI-compatible providers - agentgateway\",\n        \"url\": \"https://agentgateway.dev/docs/kubernetes/latest/llm/providers/openai-compatible/\",\n        \"description\": \"Set up OpenAI-compatible provider access to Mistral AI models. Get a Mistral AI API key. Save the API key in an environment variable.\",\n        \"position\": 3\n      },\n      {\n        \"title\": \"OpenAI-compatible providers | Solo.io documentation - Docs\",\n        \"url\": \"https://docs.solo.io/agentgateway/2.3.x/llm/providers/openai-compatible/\",\n        \"description\": \"Configure OpenAI-compatible LLM providers such as Mistral, DeepSeek, or any other provider that implements the OpenAI API format in Solo Enterprise for agentgateway. Set up OpenAI-compatible provider access to Mistral AI models. 4. Create an AgentgatewayBackend resource to configure your LLM provider and reference the AI API key secret that you created earlier. | `openai.host` | **Required**: The hostname of the OpenAI-compatible provider, such as `api.mistral.ai`. 4. Create an AgentgatewayBackend resource to configure your LLM provider and reference the AI API key secret that you created earlier. Set up OpenAI-compatible provider access to Together AI for open-source models. curl \\\"$INGRESS_GW_ADDRESS/together\\\" -H content-type:application/json -d '{ \\\"model\\\": \\\"meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo\\\", \\\"messages\\\": [ { \\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"What are the benefits of open-source AI models?\\\" } ] }' | jq. curl \\\"$INGRESS_GW_ADDRESS/perplexity\\\" -H content-type:application/json -d '{ \\\"model\\\": \\\"llama-3.1-sonar-large-128k-online\\\", \\\"messages\\\": [ { \\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"What are the latest developments in AI?\\\" } ] }' | jq. Set up OpenAI-compatible provider access to Fireworks AI for fast inference on open-source models.\",\n        \"position\": 4\n      },\n      {\n        \"title\": \"You can access Mistral API via Custom GPT action\",\n        \"url\": \"https://community.openai.com/t/you-can-access-mistral-api-via-custom-gpt-action/560421\",\n        \"description\": \"You can easily access all 3 models with a custom gpt schema. I actually didn't expect that, but it makes sense. At the end of the day it's an API endpoint.\",\n        \"position\": 5\n      }\n    ]\n  }\n}",
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      "content": "{\n  \"success\": true,\n  \"data\": {\n    \"web\": [\n      {\n        \"title\": \"How can I try the API for free with the Experiment plan? | Mistral AI\",\n        \"url\": \"https://help.mistral.ai/en/articles/455206-how-can-i-try-the-api-for-free-with-the-experiment-plan\",\n        \"description\": \"This Font Software is licensed under the SIL Open Font License, Version 1.1.[Skip to main content](https://help.mistral.ai/en/articles/455206-how-can-i-try-the-api-for-free-with-the-experiment-plan#main-content). [![Image 1: Mistral AI - Help Center](https://downloads.intercomcdn.eu/i/o/xel0jpx9/32310/7d4f9010ad488e11d08f16db2a7d/aeafac9f0bd63a86df90d4b2524cd365.png)](https://help.mistral.ai/en/). 1.   [All Collections](https://help.mistral.ai/en/). 2.   [Mistral AI Studio](https://help.mistral.ai/en/collections/789620-mistral-ai-studio). [](https://help.mistral.ai/en/articles/455206-how-can-i-try-the-api-for-free-with-the-experiment-plan#how-to-activate-the-experiment-plan)[](https://help.mistral.ai/en/articles/455206-how-can-i-try-the-api-for-free-with-the-experiment-plan#1-go-to-the-subscription-page)[](https://help.mistral.ai/en/articles/455206-how-can-i-try-the-api-for-free-with-the-experiment-plan#2-select-the-free-plan)[](https://help.mistral.ai/en/articles/455206-how-can-i-try-the-api-for-free-with-the-experiment-plan#3-confirm-your-subscription). You can **try Mistral’s API for free** with the **Experiment plan**. For more details, see [How do I update or remove my phone number?](https://help.mistral.ai/en/articles/448331-how-do-i-update-my-account-information-email-password-and-phone-number#how-do-i-update-or-remove-my-phone-number). Go directly to [Mistral AI Studio’s subscription page](https://console.mistral.ai/upgrade/plans) to start your free trial. Alternatively, from the [Admin Console](https://admin.mistral.ai/), go to the `Subscription` section, select the `Mistral AI Studio` tab, then click `Compare plans`. See detailed pricing on [Mistral AI Studio](https://console.mistral.ai/upgrade/plans). For more information, see our [data training policy](https://help.mistral.ai/en/articles/347617-do-you-use-my-user-data-to-train-your-artificial-intelligence-models). [What settings can I configure in the Admin Console?](https://help.mistral.ai/en/articles/347444-what-settings-can-i-configure-in-the-admin-console)[How can I monitor Mistral Code usage in my Organization?](https://help.mistral.ai/en/articles/347610-how-can-i-monitor-mistral-code-usage-in-my-organization)[How do API rate limits work and how do I increase them?](https://help.mistral.ai/en/articles/424390-how-do-api-rate-limits-work-and-how-do-i-increase-them)[How can I upgrade or cancel my le Chat subscription?](https://help.mistral.ai/en/articles/455205-how-can-i-upgrade-or-cancel-my-le-chat-subscription)[Can I opt out of my input or output data being used for training?](https://help.mistral.ai/en/articles/455207-can-i-opt-out-of-my-input-or-output-data-being-used-for-training). [](https://help.mistral.ai/en/articles/455206-how-can-i-try-the-api-for-free-with-the-experiment-plan#how-to-activate-the-experiment-plan)[](https://help.mistral.ai/en/articles/455206-how-can-i-try-the-api-for-free-with-the-experiment-plan#1-go-to-the-subscription-page)[](https://help.mistral.ai/en/articles/455206-how-can-i-try-the-api-for-free-with-the-experiment-plan#2-select-the-free-plan)[](https://help.mistral.ai/en/articles/455206-how-can-i-try-the-api-for-free-with-the-experiment-plan#3-confirm-your-subscription). [![Image 4: Mistral AI - Help Center](https://downloads.intercomcdn.eu/i/o/xel0jpx9/32311/04a19bad65b4f617034e9ad72265/aaa1def7e60c335ca66dbc9a2f23e7d7.png)](https://help.mistral.ai/en/).\",\n        \"position\": 1\n      },\n      {\n        \"title\": \"Every AI API with a Free Tier in 2026: The Developer's Cheat Sheet\",\n        \"url\": \"https://www.grizzlypeaksoftware.com/articles/p/every-ai-api-with-a-free-tier-in-2026-the-developers-cheat-sheet-jl33ach0\",\n        \"description\": \"Here's every major AI API with a free tier or free credits as of early 2026, with the actual limits that matter: tokens per month, rate caps, and which models you can access. **Free tier:** Mistral offers an Experiment tier on La Plateforme with rate-limited free access to their models. **Free tier:** Groq offers a free tier for their inference API with rate limits. **Free tier:** Cohere offers a free tier for their API including text generation, embeddings, and reranking models. **Free tier:** Hugging Face offers a free tier for their hosted Inference API, giving you access to thousands of open-source models. **Free tier:** Voyage AI offers free tier access to their embedding models, which are among the best available for code search and semantic retrieval. The free tier landscape in 2026 gives developers genuine access to world-class AI models for prototyping and small-scale applications. The path from prototype to production will require paid API access, but you can build, test, and validate your concept entirely on free tiers.\",\n        \"position\": 2\n      },\n      {\n        \"title\": \"Free AI API Credits 2026: Every Provider Compared | Get AI Perks\",\n        \"url\": \"https://www.getaiperks.com/en/blogs/27-ai-api-free-tier-credits-2026\",\n        \"description\": \"Compare free AI API credits from OpenAI, Anthropic, Gemini, Grok, Mistral & 10+ more. See sign-up credits, free tiers, and how to get $10,000+ via AI Perks. ## How Much Free AI API Credit Can You Get in 2026? **New developers can collect over $200 in free AI API credits across 15+ providers without spending a dollar.** OpenAI gives $5, Anthropic gives $5, xAI gives $25, Together AI gives up to $100, and Google Gemini offers unlimited free-tier access with no credit card required. **Google Gemini offers the most generous free tier of any major AI API - unlimited free access to all models with no credit card and no dollar credits needed.** You simply sign up, get an API key, and start making requests. **No.** Most providers - including OpenAI, Anthropic, Google Gemini, xAI, Mistral, and Together AI - offer free tiers without requiring a credit card. Every major AI API provider offers free credits or free-tier access in 2026.\",\n        \"position\": 3\n      },\n      {\n        \"title\": \"How-To Use Free Mistral API for Text and Vision Models - YouTube\",\n        \"url\": \"https://www.youtube.com/watch?v=GePxa8MreIc\",\n        \"description\": \"This video shows how to use new free tier of Mistral AI's API to let developers build and test apps with reduced API costs.\",\n        \"position\": 4\n      },\n      {\n        \"title\": \"Mistral API quota and rate limits pools analysis for Free Tier plan ...\",\n        \"url\": \"https://www.reddit.com/r/MistralAI/comments/1rc8rwf/mistral_api_quota_and_rate_limits_pools_analysis/\",\n        \"description\": \"# Mistral API quota and rate limits pools analysis for Free Tier plan (20.02.2026). The goal of research is to map which models share quota pools and rate limits on the Mistral Free Tier, and document the actual limits returned via response headers. **Important note:** On the Mistral Free Tier, there is a global rate limit of **1 request per second** per API key, applicable to all models regardless of per-minute quotas. curl -si https://api.mistral.ai/v1/chat/completions \\\\ -H \\\"Authorization: Bearer $MISTRAL_API_KEY\\\" \\\\ -H \\\"Content-Type: application/json\\\" \\\\ -d '{\\\"model\\\":\\\"codestral-latest\\\",\\\"messages\\\":[{\\\"role\\\":\\\"user\\\",\\\"content\\\":\\\"hi\\\"}],\\\"max_tokens\\\":3}' \\\\ | grep -i \\\"x-ratelimit\\\\|HTTP/\\\". **mistral-large-2411** is the only model on the Free Tier with a 5-minute token window instead of a per-minute window. **Pool 3: mistral-medium-2508**. **Pool 4: mistral-medium-2505**. | Standard | mistral-small, mistral-large-2512, codestral, open-mistral-nemo, ministral-\\\\*, devstral-small/medium-2507, pixtral-large | 50,000 | — | — | 4,000,000 |. | mistral-small-2506 | mistral-small-latest |. | mistral-large-2411 | **no aliases, isolated model** |. | mistral-medium-2505 | **no aliases, isolated model** |.\",\n        \"position\": 5\n      }\n    ]\n  }\n}",
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      "content": "{\n  \"results\": [\n    {\n      \"url\": \"https://docs.mistral.ai/getting-started/pricing/\",\n      \"title\": \"Pricing | Mistral Docs\",\n      \"content\": \"# Mistral AI Pricing & Deployment Summary\\n\\nThis document provides an overview of the pricing structure and deployment options for Mistral AI services as of early 2026.\\n\\n## 💰 Pricing Overview\\nMistral AI utilizes a usage-based pricing model for its API services. Detailed, real-time cost breakdowns per model are maintained on their primary pricing page.\\n\\n> **Official Pricing Reference:**\\n> \\\"Please refer to the [pricing page](https://mistral.ai/pricing#api-pricing) for detailed information on costs.\\\"\\n\\n## 🚀 Deployment Options\\nMistral offers three primary ways to access and deploy their models:\\n\\n### 1. AI Studio (La Plateforme)\\nThe managed API platform for developers to integrate Mistral models into applications.\\n*   **Organizations & Workspaces:** Tools for managing team access and collaborative environments.\\n*   **Usage Tiers:** Access is governed by [Rate Limits & Usage tiers](https://docs.mistral.ai/deployment/ai-studio/tier), which determine the volume of requests allowed based on account standing and history.\\n*   **Capabilities Supported:** Chat Completions, Vision, Reasoning, Document AI, Coding, Embeddings, and Function Calling.\\n\\n### 2. Cloud Deployment\\nMistral models are available through major cloud providers for users who prefer to manage their own infrastructure or maintain data within specific cloud ecosystems (e.g., Azure, AWS, GCP).\\n\\n### 3. Self-Deployment\\nFor maximum control and privacy, models can be self-hosted on private infrastructure.\\n\\n## 🛠️ Key Capabilities & Features\\nMistral provides a wide array of specialized API capabilities:\\n*   **Advanced Reasoning:** Specialized models for complex logic.\\n*   **Structured Outputs:** Ensuring API responses follow specific JSON schemas.\\n*   **Batch Inference:** Processing large volumes of data asynchronously at a lower cost.\\n*   **Moderation & Guardrailing:** Built-in tools to ensure safety and compliance.\\n*   **Agents:** Frameworks for creating autonomous or semi-autonomous AI agents with tool-use capabilities.\\n\\n## 💻 Developer Resources\\n*   **SDK Clients:** Official libraries for various programming languages.\\n*   **Mistral Vibe:** A CLI tool for local/offline interaction and agent management.\\n*   **Cookbooks:** Practical code examples and tutorials for implementation.\\n\\n## ⚠️ Deprecated Features\\nUsers should note that the following features are moving toward deprecation or have been replaced:\\n*   Model Customization (Legacy)\\n*   Safe Prompt\\n*   Fine-Tuning (Legacy methods)\",\n      \"error\": null\n    },\n    {\n      \"url\": \"https://www.reddit.com/r/MistralAI/comments/1rc8rwf/mistral_api_quota_and_rate_limits_pools_analysis/\",\n      \"title\": \"Mistral API quota and rate limits pools analysis for Free Tier plan ...\",\n      \"content\": \"This analysis documents the Mistral API Free Tier quota pools and rate limits as of **February 23, 2026**.\\n\\n### **Critical Global Constraint**\\nRegardless of specific model quotas, the Mistral Free Tier enforces a **global rate limit of 1 request per second (RPS)** per API key across all models.\\n\\n---\\n\\n### **Methodology & Header Tracking**\\nLimits were identified by sending minimal requests (`max_tokens=3`) and inspecting the response headers:\\n```bash\\ncurl -si https://api.mistral.ai/v1/chat/completions \\\\\\n  -H \\\"Authorization: Bearer $MISTRAL_API_KEY\\\" \\\\\\n  -H \\\"Content-Type: application/json\\\" \\\\\\n  -d '{\\\"model\\\":\\\"codestral-latest\\\",\\\"messages\\\":[{\\\"role\\\":\\\"user\\\",\\\"content\\\":\\\"hi\\\"}],\\\"max_tokens\\\":3}' \\\\\\n  | grep -i \\\"x-ratelimit\\\\|HTTP/\\\"\\n```\\n**Standard Headers:** `tokens-minute`, `remaining-tokens-minute`, `tokens-month`, `remaining-tokens-month`.\\n**Special Case (`mistral-large-2411`):** Uses a `5-minute` window and includes `tokens-query-cost` and `req-minute` headers.\\n\\n---\\n\\n### **Quota Pool Breakdown**\\nQuota limits are shared across groups of models. Aliases consume from their canonical model's pool.\\n\\n#### **Pool 1: Standard (Shared)**\\n*   **Limits:** 50,000 tokens/min | 4,000,000 tokens/month\\n*   **Models:** `mistral-small-2506/2501`, `mistral-large-2512`, `codestral-2508`, `open-mistral-nemo`, `ministral-3b/8b/14b-2512`, `devstral-small/medium-2507`, `pixtral-large-2411`.\\n\\n#### **Pool 2: mistral-large-2411 (Isolated)**\\n*   **Limits:** 600,000 tokens/5-min | 60 req/min | 200B tokens/month\\n*   **Note:** This is the only model with a **5-minute sliding window**. It is completely isolated from the newer `mistral-large-2512`.\\n\\n#### **Pool 3 & 4: mistral-medium Variants**\\n*   **Pool 3 (2508):** 375,000 tokens/min | 25 req/min | No monthly limit.\\n*   **Pool 4 (2505):** 60,000 tokens/min | 60 req/min | No monthly limit.\\n\\n#### **Pool 5 & 6: magistral Variants**\\n*   **Limits (Both):** 20,000 tokens/min | 10 req/min | 1B tokens/month.\\n*   **Note:** Confirmed as separate pools despite identical limits.\\n\\n#### **Pool 7: devstral-2512**\\n*   **Limits:** 1,000,000 tokens/min | 50 req/min | 10,000,000 tokens/month.\\n*   **Includes:** `devstral-latest`, `devstral-medium-latest`, `mistral-vibe-cli-latest`.\\n\\n#### **Pool 8: mistral-embed**\\n*   **Limits:** 20,000,000 tokens/min | 60 req/min | 200B tokens/month.\\n\\n---\\n\\n### **Summary Table: Rate Limits by Pool**\\n\\n| Pool | Tokens/min | Tokens/5-min | Req/min | Tokens/month |\\n| :--- | :--- | :--- | :--- | :--- |\\n| **Standard** | 50,000 | — | — | 4,000,000 |\\n| **Large-2411** | — | 600,000 | 60 | 200,000,000,000 |\\n| **Medium-2508**| 375,000 | — | 25 | No Limit |\\n| **Medium-2505**| 60,000 | — | 60 | No Limit |\\n| **Magistral** | 20,000 | — | 10 | 1,000,000,000 |\\n| **Embed** | 20,000,000 | — | 60 | 200,000,000,000 |\\n\\n---\\n\\n### **Key Model Aliases & Deprecations**\\n*   **Mistral Small:** `mistral-small-latest` points to `mistral-small-2506`. `2501` is deprecated as of 2026-02-28.\\n*   **Mistral Large:** `mistral-large-latest` points to `2512`. 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Google Gemini API (via AI Studio)\\n*   **The Offering:** Currently the most generous ongoing free access.\\n*   **Models:** Gemini Flash and Gemini Pro.\\n*   **Pros:** No credit card required for AI Studio; generous rate limits for prototyping.\\n*   **The Catch:** Lower rate limits than paid tiers; production workloads require moving to Vertex AI (Google Cloud).\\n*   **Best For:** Multimodal applications (text/image/video) and sustained free access.\\n\\n### 2. OpenAI API\\n*   **The Offering:** \\\"Free trial\\\" model. New accounts receive small initial credits (historically $5–$18).\\n*   **Models:** GPT-4o Mini, GPT-3.5 Turbo.\\n*   **The Catch:** Credits expire. Once exhausted, access stops until a payment method is added. Access to GPT-5 and GPT-4o requires a paid account.\\n*   **Best For:** Prototyping chat apps and testing function calling.\\n\\n### 3. Anthropic API (Claude)\\n*   **The Offering:** Initial credits for new accounts (amount varies).\\n*   **Models:** Claude Haiku is the most accessible.\\n*   **The Catch:** Finite credits; restricted requests per minute and tokens per day.\\n*   **Best For:** Reasoning-heavy tasks, document processing, and coding assistants.\\n\\n### 4. Mistral API (La Plateforme)\\n*   **The Offering:** \\\"Experiment\\\" tier with rate-limited free access.\\n*   **Models:** Mistral Small and potentially Medium.\\n*   **Best For:** European deployment testing and evaluating open-weight ecosystems.\\n\\n---\\n\\n## High-Performance & Open-Source Aggregators\\n\\n| Provider | Free Offering | Key Selling Point | Best For |\\n| :--- | :--- | :--- | :--- |\\n| **Together AI** | $5–$25 initial credits | Massive catalog of open-source models. | Testing Llama, Mistral, etc., without infra management. |\\n| **Groq** | Rate-limited free tier | **Speed.** Uses LPUs (Language Processing Units). | Latency-sensitive apps and real-time AI. |\\n| **Fireworks AI** | Initial free credits | Optimized inference for open-source models. | Structured output and fast function calling. |\\n\\n---\\n\\n## Specialized API Free Tiers\\n\\n*   **Cohere:** Free tier for text generation, embeddings, and **reranking**. Best for RAG pipelines.\\n*   **Hugging Face (Inference API):** Free access to thousands of community models. Note: Subject to \\\"cold starts\\\" and variable performance.\\n*   **Voyage AI:** Free tier for high-quality embedding models, specifically optimized for code search.\\n*   **LlamaCloud / LlamaParse:** Free tier for document parsing. Excellent for extracting data from complex PDFs for RAG.\\n\\n---\\n\\n## The $0/Month Option: Local Inference\\nFor developers with capable hardware (8GB+ VRAM or Apple Silicon), local models offer unlimited inference with no API costs.\\n\\n*   **Ollama:** \\\"The easiest way to run open-source models locally. One command to download and run Llama, Mistral, Phi, Gemma, and dozens of other models.\\\"\\n*   **LM Studio:** Desktop GUI for local models (non-CLI).\\n*   **vLLM:** For developers needing an OpenAI-compatible local server.\\n\\n---\\n\\n## Developer Strategy: Maximizing Free Tier Value\\n\\nTo stretch free resources, the guide recommends these actionable tactics:\\n\\n1.  **Right-Size Models:** \\\"Don't send a simple classification task to GPT-5 when GPT-4o Mini or Mistral Small handles it fine.\\\"\\n2.  **Cache Aggressively:** Store responses for repeated prompts to save tokens and bypass rate limits.\\n3.  **Hybrid RAG:** Use free embedding tiers for search and only use LLM tokens for the final generation.\\n4.  **Batching:** Check if the provider offers higher limits for asynchronous/batch requests.\\n5.  **Start Small:** Always prototype with the cheapest/smallest model first.\\n\\n> **The Bottom Line:** \\\"The path from prototype to production will require paid API access, but you can build, test, and validate your concept entirely on free tiers.\\\"\",\n      \"error\": null\n    }\n  ]\n}",
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      "content": "{\n  \"results\": [\n    {\n      \"url\": \"https://mistral.ai/pricing#api-pricing\",\n      \"title\": \"Pricing | Mistral AI\",\n      \"content\": \"![Mistral AI Logo](/_next/image?url=%2Fimg%2Fmistral-ai-logo.svg&w=256&q=75&dpl=b2bf46033d11dac4648370d82fb665d2efc659add62345e1f8b3b65f308b5b8d363963653166393939313362356230303038666534666435)\\n![Mistral AI Logo White](/_next/image?url=%2Fimg%2Fmistral-ai-logo-white.svg&w=256&q=75&dpl=b2bf46033d11dac4648370d82fb665d2efc659add62345e1f8b3b65f308b5b8d363963653166393939313362356230303038666534666435)\\n\\n## The next chapter of AI is yours.\\n\\nThe next chapter of AI is yours.\\n\\n![LeChat - Mistral](https://cms.mistral.ai/assets/920e56ee-25c5-439d-bd31-fbdf5c92c87f)\\n![App Store Mistral AI](/_next/image?url=%2Fimg%2Fappstore.svg&w=256&q=75&dpl=b2bf46033d11dac4648370d82fb665d2efc659add62345e1f8b3b65f308b5b8d363963653166393939313362356230303038666534666435)\\n![Google Play Mistral AI](/_next/image?url=%2Fimg%2Fandroidstore.svg&w=256&q=75&dpl=b2bf46033d11dac4648370d82fb665d2efc659add62345e1f8b3b65f308b5b8d363963653166393939313362356230303038666534666435)\\n\\nMistral AI © 2026\\n\\n### Why Mistral\\n\\n### Explore\\n\\n### Build\\n\\n### Legal\\n\\nMistral AI © 2026\\n\\n![](/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2F9c3aec2e-9825-4691-8458-cf4bd48ceff5&w=96&q=75)\\n![](/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2Fb68af65f-220d-4116-b522-fe9ab25c7f32&w=96&q=75)\\n![](/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2F0f8631ea-bfbc-4075-8f2e-c8f681076d7b&w=96&q=75)\\n\\n# Pricing\\n\\n# Pricing\\n\\n![ae2c3853-f091-43d0-ad96-8f10f48f4244](/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2Fae2c3853-f091-43d0-ad96-8f10f48f4244&w=96&q=75)\\n\\n### Free\\n\\nYour personal AI assistant for everyday life and work. Get started with Le Chat.\\n\\nChat, search, learn, create with Le Chat.\\n\\nAccess to Mistral’s SOTA AI models.\\n\\nSave and recall up to 500 memories.\\n\\nGenerate pictures.\\n\\nGroup chats into projects.\\n\\n40+ enterprise connectors.\\n\\n![8f96c9e2-03f4-49e2-97e9-08dd3208986f](/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2F8f96c9e2-03f4-49e2-97e9-08dd3208986f&w=96&q=75)\\n\\n### Pro\\n\\nEnhanced productivity, higher limits, and Mistral Vibe for all-day development.\\n\\nMore messages and web searches.\\n\\nMore extended thinking and deep research reports.\\n\\nUp to 15GB of document storage.\\n\\nUp to 1,000 projects.\\n\\nMistral Vibe for all-day coding, PAYG beyond.\\n\\nChat and email support.\\n\\nState-of-the art image generation.\\n\\nExcluding taxes\\n\\nExcluding taxes\\n\\n![8bf1fb9e-d179-49bf-8343-44867062c109](/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2F8bf1fb9e-d179-49bf-8343-44867062c109&w=96&q=75)\\n\\n### Team\\n\\nSecure, collaborative workspace for teams building with AI.\\n\\nUp to 30GB of storage /user.\\n\\nDomain name verification.\\n\\nData export.\\n\\nExcluding taxes\\n\\n$0012345678900123456789 /mo /\\n\\n![0b2cf819-f009-4bd9-8d90-4fea68a245d0](/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2F0b2cf819-f009-4bd9-8d90-4fea68a245d0&w=96&q=75)\\n\\n### Enterprise\\n\\nPrivate deployments powered by custom models, UI, and tools.\\n\\n![](/_next/image?url=%2Fimg%2Fcoffe.svg&w=128&q=75&dpl=b2bf46033d11dac4648370d82fb665d2efc659add62345e1f8b3b65f308b5b8d363963653166393939313362356230303038666534666435)\\n\\n### Free\\n\\nStart today\\n\\n### Pro\\n\\n$14.99\\\\*\\n\\n### Team\\n\\n$24.99\\\\*\\n\\n### Enterprise\\n\\nCustom\\n\\n### Features\\n\\nMessages\\n\\nUp to 6x free\\n\\nUp to 6x free\\n\\nVoice mode\\n\\nAgents\\n\\nMistral Vibe CLI\\n\\nMistral Vibe for IDE\\n\\nAsync coding agents\\n\\nWeb searches\\n\\nUp to 5x Free\\n\\nUp to 5x Free\\n\\nThink mode\\n\\nUp to 30x Free\\n\\nUp to 30x Free\\n\\nDeep research (Preview)\\n\\nUp to 5x Free\\n\\nUp to 5x Free\\n\\nMemories (beta)\\n\\n500\\n\\n1,000\\n\\n1,000\\n\\n1,000\\n\\nLibraries\\n\\nLimited\\n\\nUp to 15GB\\n\\nUp to 30GB / user\\n\\nDocument upload\\n\\nUp to 20x Free\\n\\nUp to 20x Free\\n\\nVerified news\\n\\nConnectors directory (beta)\\n\\nCustom MCP connectors (beta)\\n\\nProjects\\n\\nUp to 1,000\\n\\nUp to 1,000\\n\\nImage generation\\n\\nUp to 40x Free\\n\\nUp to 40x Free\\n\\nCode interpreter\\n\\nUp to 5x Free\\n\\nUp to 5x Free\\n\\nCanvas mode\\n\\n### Customer service\\n\\nHelp center\\n\\nKnowledge base\\n\\nChat and email support\\n\\n### Team and enterprise features\\n\\nDomain name verification\\n\\nAdmin API\\n\\nData export\\n\\nAudit logs\\n\\nSAML SSO\\n\\nWhite label\\n\\n## \\n\\nFAQs\\n\\n### Does Mistral have a free plan?\\n\\n### Which model should I use?\\n\\n### How is API pricing calculated?\\n\\n### How can I track my API usage and spending?\\n\\n### What’s the difference between Mistral Free and Pro plans?\\n\\n### Does Le Chat have any usage limits?\\n\\n### Can I self-host Mistral’s models?\\n\\n### Are there discounts for students?\\n\\n### Do you offer enterprise solutions and support?\",\n      \"error\": null\n    }\n  ]\n}",
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With 22 billion parameters, Mistral Small v24.09 offers customers a convenient mid-point between Mistral NeMo 12B and Mistral Large 2, providing a cost-effective solution that can be deployed across various platforms and environments. Following our latest Apache model release, Pixtral 12B, a vision-capable model with image understanding capabilities, is now freely available on le Chat. To learn more about Mistral Small v24.09, Pixtral 12B, and other Mistral models and pricing, click here.\",\n        \"position\": 1\n      },\n      {\n        \"title\": \"Codestral (August 2025) - Specs, API & Pricing - Puter Developer\",\n        \"url\": \"https://developer.puter.com/ai/mistralai/codestral-2508/\",\n        \"description\": \"# Mistral AI: Codestral (August 2025). Access Codestral (August 2025) from Mistral AI using Puter.js AI API. Mistral Small 4 is a 119B-parameter open-source Mixture-of-Experts model (6B active per token) released under Apache 2.0, unifying instruction-following, reasoning, multimodal (text + image), and agentic coding into a single deployment. You can access Codestral (August 2025) by Mistral AI through Puter.js AI API. With the User-Pays Model, you can add Codestral (August 2025) to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer. Codestral (August 2025) was created by Mistral AI and released on May 29, 2024. Yes, Codestral (August 2025) supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow. Yes — the Codestral (August 2025) API works with any JavaScript framework, Node.js, or plain HTML through Puter.js.\",\n        \"position\": 2\n      },\n      {\n        \"title\": \"Mistral API Pricing Calculator | Estimate Your AI Costs - Flowlyn\",\n        \"url\": \"https://flowlyn.com/tools/mistral-api-pricing-calculator\",\n        \"description\": \"# Mistral API Pricing Calculator. Estimate your monthly costs for Mistral AI's open-weight and commercial models. Calculate pricing for Mistral Large, Small, and Codestral. # Understanding Mistral API Pricing. Mistral AI offers a range of models optimized for performance and cost. From the flagship Mistral Large to the specialized Codestral, their pricing is competitive and transparent. ### Mistral API Pricing Overview. | Mistral Large 2 | $2.00 | $6.00 |. | Mistral Small | $0.20 | $0.60 |. | Mistral NeMo | $0.15 | $0.15 |. ### Mistral Large 2: Flagship Performance. Mistral Large 2 is Mistral's most advanced model, offering top-tier reasoning and multilingual capabilities. Mistral NeMo is a small, efficient model built in collaboration with NVIDIA. ## Mistral API Pricing FAQs. Here are the most common questions we get from potential clients. Mistral Large is designed for complex reasoning, multilingual tasks, and high-accuracy requirements. 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[Try Studio](https://console.mistral.ai/?utm_source=website&utm_medium=header_cta). [Try Le Chat](https://chat.mistral.ai/)[Try Mistral Vibe](https://console.mistral.ai/codestral/vibe)[Build in Mistral Studio](http://console.mistral.ai/)[Talk to an expert](https://mistral.ai/contact). ![Image 3: LeChat - Mistral](https://cms.mistral.ai/assets/920e56ee-25c5-439d-bd31-fbdf5c92c87f). [![Image 4: App Store Mistral AI](https://mistral.ai/_next/image?url=%2Fimg%2Fappstore.svg&w=256&q=75&dpl=9756fc778d0854fe8f6078b5c9f0f06b65f989c6e0e6b684a69c422e781e46a4363963303165363437303663356230303038373166373764)](https://apps.apple.com/us/app/le-chat-by-mistral-ai/id6740410176)[![Image 5: Google Play Mistral AI](https://mistral.ai/_next/image?url=%2Fimg%2Fandroidstore.svg&w=256&q=75&dpl=9756fc778d0854fe8f6078b5c9f0f06b65f989c6e0e6b684a69c422e781e46a4363963303165363437303663356230303038373166373764)](https://play.google.com/store/apps/details?id=ai.mistral.chat). ### Why Mistral. [About us](https://mistral.ai/about)[Our customers](https://mistral.ai/customers)[Careers](https://mistral.ai/careers)[Contact us](https://mistral.ai/contact). [AI solutions](https://mistral.ai/solutions)[Partners](https://mistral.ai/partners)[Research](https://mistral.ai/news?category=research)[Documentation](https://docs.mistral.ai/). [Studio](https://mistral.ai/products/studio)[Le Chat](https://mistral.ai/products/le-chat)[Vibe](https://mistral.ai/products/vibe)[Mistral Compute](https://mistral.ai/products/compute). [Terms of service](https://legal.mistral.ai/terms)[Privacy policy](https://legal.mistral.ai/terms/privacy-policy?language=en-US)Privacy choices[Data processing agreement](https://legal.mistral.ai/terms/data-processing-addendum)[Legal notice](https://mistral.ai/legal)[Brand](https://mistral.ai/brand). [![Image 6](https://mistral.ai/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2F9c3aec2e-9825-4691-8458-cf4bd48ceff5&w=96&q=75)](https://x.com/mistralai)[![Image 7](https://mistral.ai/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2Fb68af65f-220d-4116-b522-fe9ab25c7f32&w=96&q=75)](https://www.linkedin.com/company/mistralai/)[![Image 8](https://mistral.ai/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2F0f8631ea-bfbc-4075-8f2e-c8f681076d7b&w=96&q=75)](https://discord.gg/mistralai). ![Image 9: ae2c3853-f091-43d0-ad96-8f10f48f4244](https://mistral.ai/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2Fae2c3853-f091-43d0-ad96-8f10f48f4244&w=96&q=75). *   Access to Mistral’s SOTA AI models. ![Image 10: 8f96c9e2-03f4-49e2-97e9-08dd3208986f](https://mistral.ai/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2F8f96c9e2-03f4-49e2-97e9-08dd3208986f&w=96&q=75). [Students $0 0 1 2 3 4 5 6 7 8 9.0 0 1 2 3 4 5 6 7 8 9 0 0 1 2 3 4 5 6 7 8 9/mo Excluding taxes](https://chat.mistral.ai/upgrade/student). [Start now](https://console.mistral.ai/codestral/cli). ![Image 11: 8bf1fb9e-d179-49bf-8343-44867062c109](https://mistral.ai/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2F8bf1fb9e-d179-49bf-8343-44867062c109&w=96&q=75). [Start now](https://console.mistral.ai/codestral/cli). [![Image 12: 0b2cf819-f009-4bd9-8d90-4fea68a245d0](https://mistral.ai/_next/image?url=https%3A%2F%2Fcms.mistral.ai%2Fassets%2F0b2cf819-f009-4bd9-8d90-4fea68a245d0&w=96&q=75) ### Enterprise Private deployments powered by custom models, UI, and tools. Contact us ![Image 13](https://mistral.ai/_next/image?url=%2Fimg%2Fcoffe.svg&w=256&q=75&dpl=9756fc778d0854fe8f6078b5c9f0f06b65f989c6e0e6b684a69c422e781e46a4363963303165363437303663356230303038373166373764)](https://mistral.ai/contact). [### Free Start today](https://chat.mistral.ai/)[### Pro $14.99*](https://console.mistral.ai/codestral/cli)[### Team $24.99*](https://console.mistral.ai/codestral/cli)[### Enterprise Custom](https://mistral.ai/contact). ### Does Mistral have a free plan?\",\n        \"position\": 1\n      },\n      {\n        \"title\": \"When switching from monthly to annual, will I lose history? - Reddit\",\n        \"url\": \"https://www.reddit.com/r/MistralAI/comments/1pac4vl/when_switching_from_monthly_to_annual_will_i_lose/\",\n        \"description\": \"Once your current subscription expires, you will be able to subscribe to the annual plan. ​We also confirm that your chat history will not be\",\n        \"position\": 2\n      },\n      {\n        \"title\": \"I have consumed my free openai resources how can I regain it. As I ...\",\n        \"url\": \"https://www.facebook.com/groups/pypcom/posts/2245664592437264/\",\n        \"description\": \"As per our [Prepaid Billing](https://help.openai.com/en/articles/8264778) documentation, purchased credits expire after 1 year and are non-\",\n        \"position\": 3\n      },\n      {\n        \"title\": \"How can I upgrade or cancel my le Chat subscription? | Mistral AI\",\n        \"url\": \"https://help.mistral.ai/en/articles/455205-how-can-i-upgrade-or-cancel-my-le-chat-subscription\",\n        \"description\": \"# How can I upgrade or cancel my le Chat subscription? You can manage your le Chat subscription (whether you want to **cancel it or upgrade** to a higher plan) directly from the Admin Console. # How to upgrade your le Chat subscription (Pro, Student, and Team plans). * From the **Free plan**, upgrade to le Chat Pro or le Chat Team. * From the **Pro plan**, upgrade to le Chat Team. Head to the Admin Console to manage your le Chat’s subscription. Compare the plans and upgrade your subscription. # How to cancel your le Chat subscription. Head to the Admin Console to manage your le Chat’s subscription. 🚨 Canceling your le Chat subscription and your Mistral AI Studio subscription are **two separate actions**. Once canceled, your organization will automatically switch to the free plan at the end of the current billing period. How can I manage my le Chat subscription on mobile (iOS and Android)?\",\n        \"position\": 4\n      },\n      {\n        \"title\": \"CoreWeave, Inc. (Form: S-1, Received - EDGAR Online\",\n        \"url\": \"https://content.edgar-online.com/ExternalLink/EDGAR/0001193125-25-044231.html?hash=20fc4556a4a209903917e1d420d1ac994d529e8a9357b9ce3a0b0dc6c79bb531&dest=d899798dex33_htm\",\n        \"description\": \"Mistral AI. •. Background: Mistral AI is a leading Paris-based AI lab that develops open-source AI models. 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      "content": "{\n  \"success\": true,\n  \"data\": {\n    \"web\": [\n      {\n        \"title\": \"Mistral AI Free Tier 2026 - Price Per Token\",\n        \"url\": \"https://pricepertoken.com/endpoints/mistral/free\",\n        \"description\": \"# Mistral AI Free Tier. Mistral offers a free Experiment plan with access to all models including Mistral Large and Codestral. Mistral also offers up to $30K in startup credits. The free experiment tier is generous for development — 1 billion tokens per month covers substantial prototyping. | Mistral Small Creative | 33K | $0.100 | $0.300 |. | Mistral Small 3.2 24B | 131K | $0.100 | $0.300 |. | Mistral 7B Instruct v0.3 | 127K | $0.140 | $0.420 |. | Mistral 7B Instruct | 4K | $0.140 | $0.420 |. | Mistral 7B Instruct v0.1 | 3K | $0.140 | $0.420 |. | Mistral 7B Instruct v0.2 | 4K | $0.140 | $0.420 |. Yes, Mistral AI offers free access. Mistral offers a free Experiment plan with access to all models including Mistral Large and Codestral. Mistral also offers up to $30K in startup credits. The free experiment tier is generous for development — 1 billion tokens per month covers substantial prototyping.\",\n        \"position\": 1\n      },\n      {\n        \"title\": \"Mistral API Pricing 2026: Small 3.1 at $0.20/M, Large 3 at ... - DevTk.AI\",\n        \"url\": \"https://devtk.ai/en/blog/mistral-api-pricing-guide-2026/\",\n        \"description\": \"# Mistral API Pricing 2026: Small $0.20/M, Large $2/M + Free Tier. Mistral AI API pricing for 2026: Large 3 at $2/$6, Medium 3 $1/$3, Small 3.1 $0.20/$0.60 per 1M tokens. In early 2026, Mistral offers three commercial models — Large 3 for complex reasoning, Medium 3 for balanced workloads, and Small 3.1 for high-throughput budget tasks — plus a free tier for experimentation and a family of open-weight models that you can self-host with zero API costs. 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All available versions, regions, and API endpoints for Mistral Large\",\n        \"position\": 3\n      },\n      {\n        \"title\": \"Mistral API Pricing Calculator | Estimate Your AI Costs - Flowlyn\",\n        \"url\": \"https://flowlyn.com/tools/mistral-api-pricing-calculator\",\n        \"description\": \"# Mistral API Pricing Calculator. Estimate your monthly costs for Mistral AI's open-weight and commercial models. Calculate pricing for Mistral Large, Small, and Codestral. # Understanding Mistral API Pricing. Mistral AI offers a range of models optimized for performance and cost. From the flagship Mistral Large to the specialized Codestral, their pricing is competitive and transparent. ### Mistral API Pricing Overview. | Mistral Large 2 | $2.00 | $6.00 |. | Mistral Small | $0.20 | $0.60 |. | Mistral NeMo | $0.15 | $0.15 |. ### Mistral Large 2: Flagship Performance. Mistral Large 2 is Mistral's most advanced model, offering top-tier reasoning and multilingual capabilities. Mistral NeMo is a small, efficient model built in collaboration with NVIDIA. ## Mistral API Pricing FAQs. Here are the most common questions we get from potential clients. Mistral Large is designed for complex reasoning, multilingual tasks, and high-accuracy requirements. Mistral Small is optimized for speed and cost-efficiency, making it ideal for simpler tasks and high-volume processing.\",\n        \"position\": 4\n      },\n      {\n        \"title\": \"LLM API Pricing 2026 — Compare GPT-5, Claude 4, Gemini ... - TLDL\",\n        \"url\": \"https://www.tldl.io/resources/llm-api-pricing-2026\",\n        \"description\": \"# LLM API Pricing 2026 — GPT-5.4, Claude, Gemini & DeepSeek Cost Comparison | TLDL | TLDL. # LLM API Pricing 2026 — GPT-5.4, Claude, Gemini & DeepSeek Cost Comparison. Updated March 2026: GPT-5.4 from $2.50/M tokens, Claude Sonnet $3/$15, Gemini 2.5 Flash $0.30, DeepSeek $0.14. LLM pricing changes fast — verify current rates at [OpenAI](https://openai.com/api/pricing), [Anthropic](https://claude.com/pricing), [Google](https://ai.google.dev/gemini-api/docs/pricing), [DeepSeek](https://api-docs.deepseek.com/quick\\\\_start/pricing), [xAI](https://docs.x.ai/developers/models), and [Mistral](https://mistral.ai/pricing) before committing._. Save up to 90% on your API costs now!](https://www.tldl.io/resources/cheapest-llm-api-2026)[Resource Claude API Pricing (March 2026): Opus $5/M Tokens, Sonnet $3, Haiku $0.25 Claude API pricing 2026: Opus $5.00/M input, $25.00/M output. Compare all models — Updated March 2026.](https://www.tldl.io/resources/anthropic-api-pricing)[Resource Gemini API Pricing (Updated March 2026) — 2.5 Pro, Flash & Free Tier Cost Gemini API pricing 2026: 2.5 Pro $1.25/$10, Flash $0.30/$2.50 per 1M tokens. See all Google Gemini API costs, cache discounts & volume pricing here.](https://www.tldl.io/resources/google-gemini-api-pricing)[Resource OpenAI API Pricing 2026 — GPT-5.4, O3, O1 & GPT-4o Cost Per Token March 2026: GPT-5.4 is $2.50/M input tokens.\",\n        \"position\": 5\n      }\n    ]\n  }\n}",
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      "content": "{\n  \"results\": [\n    {\n      \"url\": \"https://devtk.ai/en/blog/mistral-api-pricing-guide-2026/\",\n      \"title\": \"Mistral API Pricing 2026: Small 3.1 at $0.20/M, Large 3 at ... - DevTk.AI\",\n      \"content\": \"# Mistral API Pricing Guide 2026: Comprehensive Summary\\n\\nMistral AI, headquartered in Paris, has positioned itself as a top-tier competitor to OpenAI and Anthropic by focusing on **native GDPR compliance**, **aggressive output pricing**, and **open-weight model availability**.\\n\\n## 1. 2026 Commercial Model Lineup & Pricing\\nMistral offers a three-tier structure. All prices are in **USD per 1 million tokens**.\\n\\n| Model | Input Price | Output Price | Context | Max Output | Key Capabilities |\\n| :--- | :--- | :--- | :--- | :--- | :--- |\\n| **Mistral Large 3** | $2.00 | $6.00 | 128K | 8K | Reasoning, Vision, Tools |\\n| **Mistral Medium 3** | $1.00 | $3.00 | 128K | 8K | Balanced Workloads |\\n| **Mistral Small 3.1** | $0.20 | $0.60 | 128K | 4K | High-throughput, Budget |\\n\\n### Key Pricing Insights\\n*   **Cheapest High-Tier Output:** At $6.00/M, Large 3 output is **40% cheaper than GPT-5** ($10.00) and **60% cheaper than Claude Sonnet 4.5** ($15.00).\\n*   **Budget Competitiveness:** Small 3.1 ($0.20/$0.60) sits between Gemini Flash and DeepSeek V3.2, making it ideal for high-volume text processing.\\n\\n---\\n\\n## 2. Free Tier and Open-Weight Models\\nUnlike OpenAI or Anthropic, Mistral provides a path for zero-cost experimentation and self-hosting.\\n\\n*   **Free Tier:** Available via *La Plateforme* API. Includes access to all commercial models with lower rate limits (RPM). No credit card is required to start.\\n*   **Open-Weight Models (Apache 2.0):**\\n    *   **Mistral 7B:** Best for edge deployment.\\n    *   **Mixtral 8x7B:** High-throughput general tasks.\\n    *   **Mixtral 8x22B:** Complex reasoning for self-hosted environments.\\n\\n---\\n\\n## 3. Competitive Comparison (Per 1M Tokens)\\n\\n### Flagship Tier (Output Focus)\\n| Model | Input | Output | vs. Mistral Large 3 (Output) |\\n| :--- | :--- | :--- | :--- |\\n| **Mistral Large 3** | **$2.00** | **$6.00** | **Baseline** |\\n| GPT-5 | $1.25 | $10.00 | 1.67x more expensive |\\n| Claude Sonnet 4.5 | $3.00 | $15.00 | 2.5x more expensive |\\n| o3 | $2.00 | $8.00 | 1.33x more expensive |\\n\\n### Budget Tier\\n| Model | Input | Output | vs. Mistral Small 3.1 |\\n| :--- | :--- | :--- | :--- |\\n| **Mistral Small 3.1** | **$0.20** | **$0.60** | **Baseline** |\\n| Gemini 2.5 Flash | $0.15 | $0.60 | 25% cheaper input |\\n| DeepSeek V3.2 | $0.27 | $1.10 | ~83% more expensive output |\\n| Claude Haiku 4.5 | $1.00 | $5.00 | 5x - 8x more expensive |\\n\\n---\\n\\n## 4. When to Choose Mistral\\n1.  **GDPR & EU Data Residency:** Mistral processes data within the EU by default, eliminating complex legal hurdles for European companies.\\n2.  **Output-Heavy Tasks:** Applications like code generation or long-form content creation save 37%–59% compared to GPT-5 or Claude.\\n3.  **On-Premise Requirements:** Use open-weight models for air-gapped or highly regulated environments.\\n4.  **Fine-Tuning:** Fine-tuning a Small 3.1 model ($0.20/M) can often match Large 3 performance on narrow tasks, yielding a 10x cost reduction.\\n\\n---\\n\\n## 5. Implementation Snippets\\nMistral uses an **OpenAI-compatible API format**, making migration simple.\\n\\n### Python Example (Large 3)\\n```python\\nfrom openai import OpenAI\\n\\nclient = OpenAI(\\n    api_key=\\\"your-mistral-api-key\\\",\\n    base_url=\\\"https://api.mistral.ai/v1\\\"\\n)\\n\\nresponse = client.chat.completions.create(\\n    model=\\\"mistral-large-latest\\\",\\n    messages=[\\n        {\\\"role\\\": \\\"system\\\", \\\"content\\\": \\\"You are a helpful coding assistant.\\\"},\\n        {\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Write a Python function to validate EU VAT numbers\\\"}\\n    ],\\n    temperature=0.7,\\n    max_tokens=2000\\n)\\nprint(response.choices[0].message.content)\\n```\\n\\n---\\n\\n## 6. Strengths and Limitations\\n\\n### Strengths\\n*   **EU Hosting:** Native compliance.\\n*   **Output Pricing:** Market-leading rates for high-tier generation.\\n*   **Open Source:** Apache 2.0 licenses for Mixtral family.\\n*   **Tool Use:** Function calling supported across all commercial models.\\n\\n### Limitations\\n*   **Context Window:** Capped at 128K (vs. Gemini's 1M+).\\n*   **Max Output:** Limited to 8K (Large/Medium) or 4K (Small).\\n*   **No Prompt Caching:** Unlike Anthropic/OpenAI, Mistral does not offer discounts for repeated system prompts.\\n*   **Multimodal:** Only Large 3 supports vision; no native audio/video support.\\n\\n## 7. Bottom Line Strategy\\n*   **High Volume:** Use **Small 3.1** for classification and extraction.\\n*   **General Work:** Use **Medium 3** for chat and summarization.\\n*   **Complex/Long Output:** Use **Large 3** for reasoning and generation to maximize the $6/M output price advantage.\",\n      \"error\": null\n    }\n  ]\n}",
      "tool_call_id": "toolu_01SqT9KJxKrFr91sGk4tDkyi"
    },
    {
      "role": "assistant",
      "content": "Here is my complete research summary on using Mistral AI API credits ($10 balance) as of April 2026:\n\n---\n\nRESEARCH FINDINGS: MISTRAL AI API $10 CREDITS\n\n1) CURRENT PRICING PER MODEL (per 1M tokens):\n\nMain commercial models:\n- Mistral Large 3 (mistral-large-latest / 2512): $0.50 input / $1.50 output (newer pricing) or $2.00/$6.00 (older Large 2 pricing -- there may be version differences)\n- Mistral Medium 3: $0.40 input / $2.00 output (or $1.00/$3.00 per some sources)\n- Mistral Small 3.1/3.2 (mistral-small-latest): $0.10 input / $0.30 output\n- Codestral (codestral-latest / 2508): shares Standard pool pricing, roughly $0.20/$0.60\n- Ministral (3b/8b/14b): budget tier, similar to Small\n- Pixtral Large: vision model, Standard pool pricing\n- Mistral Embed: embedding model, very cheap\n- Magistral: reasoning model, separate pool\n- Devstral: coding agent model\n\nNote: Pricing has shifted over time. The most current figures from pricepertoken.com show Mistral Small at $0.10/$0.30 and Mistral Large 3 (2512) at $0.50/$1.50.\n\n2) OPENAI-COMPATIBLE API ENDPOINT:\n\nYES -- Mistral's API is fully OpenAI-compatible. You can use the standard OpenAI Python SDK by just changing the base URL:\n\nbase_url = \"https://api.mistral.ai/v1\"\n\nExample:\nfrom openai import OpenAI\nclient = OpenAI(api_key=\"your-mistral-key\", base_url=\"https://api.mistral.ai/v1\")\nresponse = client.chat.completions.create(model=\"mistral-large-latest\", messages=[...])\n\nThe endpoint is https://api.mistral.ai/v1/chat/completions -- same format as OpenAI.\n\n3) FREE TIER (\"EXPERIMENT\" PLAN) -- WHY IT'S HARD TO EXHAUST:\n\nThe free Experiment tier includes:\n- Access to ALL models (including Large, Codestral, Small, etc.)\n- No credit card required\n- Rate limits: 1 request per second global cap\n- Standard pool: 50,000 tokens/min, 4,000,000 tokens/month\n- Some models have huge/unlimited monthly quotas (e.g., Medium has no monthly limit, Large-2411 has 200B tokens/month, Embed has 200B/month)\n- Magistral reasoning models: 1B tokens/month\n\nWhy it's hard to exhaust: At 4M tokens/month on the Standard pool, that's roughly equivalent to reading/writing several novels worth of text per month. The 1 req/sec rate limit is the real constraint, not the token budget. For most development and prototyping, you'll hit the rate limit wall (slowness) long before you hit the token quota. Essentially, Mistral gives you enough free tokens that casual/moderate use never costs anything.\n\n4) DO CREDITS EXPIRE?\n\nI could not find specific documentation about Mistral prepaid credit expiration policies. Unlike OpenAI (which explicitly states credits expire after 1 year), Mistral does not prominently advertise an expiration policy for API credits. Their billing model appears to be primarily:\n- Free Experiment tier (no credits needed)\n- Pay-as-you-go billing (credit card charged for usage)\n- Enterprise contracts\n\nIf you have $10 in credits from a promotional offer or startup program, it's worth checking console.mistral.ai for any expiration notices, or contacting Mistral support directly. Mistral offers up to $30K in startup credits through their programs, suggesting credits are a real mechanism but terms may vary.\n\n5) BEST STRATEGY TO ACTUALLY USE $10 IN CREDITS:\n\nGiven how cheap Mistral's pricing is, spending $10 requires significant volume:\n\nWith Mistral Small ($0.10 input / $0.30 output per 1M tokens):\n- $10 buys roughly 25-50 million tokens (mix of input/output)\n- That's equivalent to ~50-100 full-length novels worth of text\n\nWith Mistral Large ($0.50 input / $1.50 output per 1M tokens):\n- $10 buys roughly 5-10 million tokens\n- Still a massive amount for individual use\n\nStrategies to actually consume credits:\na) Batch processing: Use Mistral's batch API for large document processing jobs (OCR, summarization, classification)\nb) Use the most expensive model (Mistral Large 3) with maximum output tokens and complex reasoning tasks\nc) Build a coding assistant with Codestral for extended coding sessions\nd) Process large datasets -- classification, extraction, or translation of thousands of documents\ne) Use Magistral (reasoning model) for complex multi-step reasoning tasks\nf) Fine-tuning: If available on paid tier, fine-tuning jobs consume credits faster\ng) Build and run AI agents that make many sequential API calls\nh) Generate embeddings for large document collections using mistral-embed\n\nThe honest truth: $10 in Mistral credits is extremely generous given their pricing. For individual developer use, it could last months or even be practically inexhaustible for light usage, especially since the free tier already covers most prototyping needs without touching paid credits at all.\n\n---\n\nNo files were created or modified. No issues encountered -- all research was conducted successfully via web search and extraction.",
      "reasoning": "Now I have comprehensive information. Let me compile the findings.",
      "finish_reason": "stop",
      "reasoning_details": [
        {
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          "thinking": "Now I have comprehensive information. Let me compile the findings.",
          "type": "thinking"
        }
      ]
    }
  ]
}