Mistral AI Codestral 2508 (batch)

Codestral 2508 (batch) by Mistral AI excels in the Coding category, where it ranks #314 with a composite score of 40/100. 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) It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Codestral 2508 (batch) is priced at $0.30 per million input tokens and $0.90 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Codestral 2508 (batch) holds rank #314 out of 366 models tracked. Its quality rank is #314 and adoption rank is #314. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Codestral 2508 (batch) has been evaluated across 5 different signals. Its strongest areas include Capabilities (50/100), Pricing (99/100), Context Window (86/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

Codestral 2508 (batch) is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Mistral AI's website for current free tier availability and promotional offers.

Codestral 2508 (batch) supports a 256K token context window (256,000 tokens total). That translates to roughly 192,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

Codestral 2508 (batch) can generate up to 205K output tokens (204,800 tokens) per response. That is roughly 153,600 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

Codestral 2508 (batch) supports function/tool calling, structured JSON output, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. These capabilities determine which workflows and integrations the model can handle natively.

Codestral 2508 (batch) was developed by Mistral AI. It was released on August 1, 2025. You can access it through Mistral AI's API. Check our provider page for all models from Mistral AI and how they compare against each other.

Pick Codestral 2508 (batch) when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Codestral 2508 (batch) through Mistral AI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.