--- title: Mistral: Codestral 2508 API | Text Generation | ModelsLab description: Cutting-edge LLM for code completion with 256K context window, function calling, structured outputs; $0.30/M input, $0.90/M output tokens—ideal for FIM. url: https://modelslab.com/models/mistralai/mistralai-codestral-2508/api.md canonical: https://modelslab.com/models/mistralai/mistralai-codestral-2508/api.md type: product component: Playground/LLM/Index generated_at: 2026-04-15T02:05:30.838498Z --- Mistral: Codestral 2508 --- [LLMs.txt](https://modelslab.com/models/open_router/mistralai-codestral-2508/llms.txt) [.md](https://modelslab.com/models/mistralai/mistralai-codestral-2508.md) mistralai-codestral-2508 mistralai Closed Source Model $0.600000 / call Mistral: Codestral 2508 --- Choose a prompt below to get started or type your own message Explain quantum computing in simple terms Write a Python function to sort a list Create a marketing email for a SaaS product Compare REST vs GraphQL APIs Send ### Mistral: Codestral 2508 mistralai mistralai-codestral-2508 Copy model ID PricingInput $0.30 / 1M tokens Output $0.90 / 1M tokens API EndpointsOpenAI Compatible `https://modelslab.com/api/v7/llm/chat/completions`Endpoint Anthropic Compatible `https://modelslab.com/api/v7/llm/v1/messages`Messages `https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens `https://modelslab.com/api/v7/llm/v1/models`Models Use with Claude Code cURL Example ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses. Temperature0.7 Max Tokens1000 Top P0.9 Frequency Penalty0 Presence Penalty0 Model Info Support Related Models --- Discover similar models you might be interested in [View all LLM Models](https://modelslab.com/models?feature=llmaster) [N3](https://modelslab.com/models/together_ai/nim-meta-llama-3.2-11b-vision-instruct)[Together AI](https://modelslab.com/models/together_ai) [nim/meta/llama-3.2-11b-vision-instruct Closed Source Model](https://modelslab.com/models/together_ai/nim-meta-llama-3.2-11b-vision-instruct) [OG](https://modelslab.com/models/open_router/openai-gpt-5.1)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.1 Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.1) [MM](https://modelslab.com/models/open_router/mistralai-mistral-large-2512)[Open Router](https://modelslab.com/models/open_router) [Mistral: Mistral Large 3 2512 Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-large-2512) [LL](https://modelslab.com/models/open_router/liquid-lfm-2.5-1.2b-instruct-free)[Open Router](https://modelslab.com/models/open_router) [LiquidAI: LFM2.5-1.2B-Instruct (free) Closed Source Model](https://modelslab.com/models/open_router/liquid-lfm-2.5-1.2b-instruct-free) [QQ](https://modelslab.com/models/open_router/qwen-qwen2.5-vl-72b-instruct)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen2.5 VL 72B Instruct Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen2.5-vl-72b-instruct) [ML](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo)[ModelsLab](https://modelslab.com/models/meta) [Meta Llama 3.1 70B Instruct Turbo Closed Source Model](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo) [ML](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo)[Together AI](https://modelslab.com/models/together_ai) [Meta Llama 3.1 8B Instruct Turbo Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo) [ML](https://modelslab.com/models/open_router/meta-llama-llama-4-maverick)[Open Router](https://modelslab.com/models/open_router) [Meta: Llama 4 Maverick Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-4-maverick) [N3](https://modelslab.com/models/together_ai/nim-meta-llama-3.1-70b-instruct)[Together AI](https://modelslab.com/models/together_ai) [nim/meta/llama-3.1-70b-instruct Closed Source Model](https://modelslab.com/models/together_ai/nim-meta-llama-3.1-70b-instruct) [AA](https://modelslab.com/models/arcee_ai/arcee_ai-arcee-spotlight)[ModelsLab](https://modelslab.com/models/arcee_ai) [Arcee AI Spotlight Closed Source Model](https://modelslab.com/models/arcee_ai/arcee_ai-arcee-spotlight) [Q7](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-72B-Instruct)[Together AI](https://modelslab.com/models/together_ai) [Qwen2.5 72B Instruct Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-72B-Instruct) [QC](https://modelslab.com/models/open_router/qwen-qwen-2.5-coder-32b-instruct)[Open Router](https://modelslab.com/models/open_router) [Qwen2.5 Coder 32B Instruct Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen-2.5-coder-32b-instruct) [N3](https://modelslab.com/models/together_ai/nim-meta-llama-3.2-90b-vision-instruct)[Together AI](https://modelslab.com/models/together_ai) [nim/meta/llama-3.2-90b-vision-instruct Closed Source Model](https://modelslab.com/models/together_ai/nim-meta-llama-3.2-90b-vision-instruct) [ZG](https://modelslab.com/models/open_router/z-ai-glm-4.5-air-free)[Open Router](https://modelslab.com/models/open_router) [Z.ai: GLM 4.5 Air (free) Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-4.5-air-free) [QQ](https://modelslab.com/models/open_router/qwen-qwen3-next-80b-a3b-instruct)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3 Next 80B A3B Instruct Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-next-80b-a3b-instruct) [TC](https://modelslab.com/models/open_router/thedrummer-cydonia-24b-v4.1)[Open Router](https://modelslab.com/models/open_router) [TheDrummer: Cydonia 24B V4.1 Closed Source Model](https://modelslab.com/models/open_router/thedrummer-cydonia-24b-v4.1) [L4](https://modelslab.com/models/together_ai/meta-llama-Llama-4-Scout-17B-16E)[Together AI](https://modelslab.com/models/together_ai) [Llama 4 Scout (17Bx16E) Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Llama-4-Scout-17B-16E) [CC](https://modelslab.com/models/open_router/cohere-command-r7b-12-2024)[Open Router](https://modelslab.com/models/open_router) [Cohere: Command R7B (12-2024) Closed Source Model](https://modelslab.com/models/open_router/cohere-command-r7b-12-2024) About Mistral: Codestral 2508 --- Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. \[Blog Post\](https://mistral.ai/news/codestral-25-08) ### Technical Specifications Model IDmistralai-codestral-2508CategoryLLM ModelsTaskText GenerationPrice$0.600000 per million tokensAddedFebruary 20, 2026 ### Key Features - Chat completion and multi-turn conversation API - Streaming response with token-by-token output - Function calling and tool use support - System prompts and role-based messaging - JSON mode and structured output ### Quick Start Integrate Mistral: Codestral 2508 into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "mistralai-codestral-2508", "messages": [ { "role": "user", "content": "Hello!" } ], "max_tokens": 1000, "key": "YOUR_API_KEY" } try: response = requests.post(url, headers=headers, json=data) response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX) result = response.json() print("API Response:") print(json.dumps(result, indent=2)) except requests.exceptions.HTTPError as http_err: print(f"HTTP error occurred: {http_err} - {response.text}") except Exception as err: print(f"Other error occurred: {err}") ``` View the [full API documentation](https://modelslab.com/models/mistralai/mistralai-codestral-2508/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Mistral: Codestral 2508 API costs $0.600000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) ### Use Cases - AI chatbots and virtual assistants - Code generation and developer tools - Content writing and copywriting automation - Data analysis, summarization, and extraction [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Mistralai](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) Mistral: Codestral 2508 FAQ --- ### What is Mistral: Codestral 2508? Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. \[Blog Post\](https://mistral.ai/news/codestral-25-08) ### How do I use the Mistral: Codestral 2508 API? You can integrate Mistral: Codestral 2508 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "mistralai-codestral-2508" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Mistral: Codestral 2508 cost? Mistral: Codestral 2508 costs $0.600000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Mistral: Codestral 2508 model ID? The model ID for Mistral: Codestral 2508 is "mistralai-codestral-2508". Use this ID in your API requests to specify this model. ### Does Mistral: Codestral 2508 have a free tier? Yes, ModelsLab offers a free tier that lets you try Mistral: Codestral 2508 and other AI models. Sign up to get free API credits and start building immediately. --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-04-15*