Analysis Summary
Codestral 2508 is Mistral's coding-oriented model, with a 256K context window that can accommodate sizeable codebases and technical specifications. File input, tool use, and function calling extend it beyond isolated code completion into repository analysis and structured development workflows. Its pricing is suited to repeated engineering assistance and batch processing.
It is a sensible candidate for code explanation, refactoring suggestions, test generation, documentation, and supervised development agents. The supplied record contains no independent benchmark data for this batch variant, so performance on difficult debugging and implementation tasks remains unverified. Text and file support also make it less suitable for visual product or design review. Trial it against representative repositories, with tests and human approval required before merging generated changes.
Assessed September 1, 2026
Editorial notes
Codestral 2508 is focused on code and supports a 256K context window, file input, tool use, and function calling at economical batch pricing. This variant lacks independent benchmark data, so engineering reliability should be tested on real repositories.
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DFO Verdict
Codestral 2508 is focused on code and supports a 256K context window, file input, tool use, and function calling at economical batch pricing. This variant lacks independent benchmark data, so engineering reliability should be tested on real repositories.
How Mistral: Codestral 2508 (batch) compares
Its 256K-token context window is larger than 59% of the models we list. At $0.30 per million input tokens it is cheaper than 48% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.30 | $0.000300 |
| Output | $0.90 | $0.000900 |
What would Mistral: Codestral 2508 (batch) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 751 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Codestral 2508 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Codestral 2508 (batch)
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
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Frequently asked questions about Mistral: Codestral 2508 (batch)
How much does Mistral: Codestral 2508 (batch) cost?
Mistral: Codestral 2508 (batch) costs $0.30 per million input tokens and $0.90 per million output tokens.
What is the context window of Mistral: Codestral 2508 (batch)?
Mistral: Codestral 2508 (batch) has a context window of 256,000 tokens (256K).
What can Mistral: Codestral 2508 (batch) do?
Mistral: Codestral 2508 (batch) supports tool use and function calling.
Who created Mistral: Codestral 2508 (batch)?
Mistral: Codestral 2508 (batch) is developed by Mistral and was released on August 1, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 4, 2026 8:38 pm