Overview
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)
Our take
Buyers considering Mistral: Codestral 2508 (batch) will weigh its competitive pricing against its text-only input limitation. Unlike generalist chatbots such as Claude or ChatGPT, this model focuses specifically on coding tasks, making it suitable for scenarios like generating tests for existing codebases or performing fill-in-the-middle operations within an IDE. Its low API price of $0.15 per 1M input tokens, which is cheaper than approximately 75% of comparable models, makes it an economical choice for high-frequency, low-latency applications. The 256,000-token context window and support for tool/function calling further enable complex agent-style workflows, while structured JSON outputs facilitate reliable parsing in automated systems. Ideal for developers or organisations requiring a cost-effective, specialised coding assistant without the need for image input, Codestral 2508 (batch) is a strong contender for those prioritising code generation and manipulation over multimodal capabilities.
How Mistral: Codestral 2508 (batch) stacks up
Among the 88 coding tools in our directory, it ranks #28 of 35 on quality (7.3/10), 11% below the 35-tool average of 8.2, and its $0.15/1M input-token rate is in the budget end — 85% cheaper than the 25-model average of $0.98/1M.
Weighing quality against cost, Mistral: Codestral 2508 (batch)'s cost-per-quality-point of $0.02 places it in the top 21% for value among coding tools.
Mistral: Codestral 2508 (batch) in depth
Mistral: Codestral 2508 (batch), built by Mistral AI, sits in the coding and chatbots & llms space and is a paid tool starting at $0.15/1M tokens. Our editors rate it 7.3 out of 10 based on capability, ecosystem and value. It handles a context window of 256,000 tokens.
On the feature side, Mistral: Codestral 2508 (batch) brings 256,000-token context window, tool / function calling, structured (json) outputs and knowledge cutoff 2025-03-31. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.
Its biggest strength is low api price — $0.15 per 1m input tokens, cheaper than roughly 75% of comparable models, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.
Mistral: Codestral 2508 (batch) is most often chosen for coding, data analysis, research and writing. If that matches your goals, it's a strong candidate to shortlist.
Key features
- ✓256,000-token context window
- ✓Tool / function calling
- ✓Structured (JSON) outputs
- ✓Knowledge cutoff 2025-03-31
Pricing
Pros
- +Low API price — $0.15 per 1M input tokens, cheaper than roughly 75% of comparable models
- +Supports tool / function calling for agent-style workflows
- +Can return structured JSON output for reliable parsing
Cons
- −No free tier — usage is billed per token
- −Text-only: does not accept image input
Who should use Mistral: Codestral 2508 (batch)
- →Anyone looking for a coding and chatbots & llms tool from Mistral AI.
- →Teams and individuals focused on coding, data analysis, research and writing.
- →People who value low api price — $0.15 per 1m input tokens, cheaper than roughly 75% of comparable models.
- →Workflows that need a 256,000 tokens context window.
Who should look elsewhere
- →Anyone who needs a free tier — this tool is paid only.
- →Those for whom no free tier — usage is billed per token is a dealbreaker.
- →Users who can't accept that text-only: does not accept image input.
Best for
10 Best Mistral: Codestral 2508 (batch) Alternatives in 2026
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Anthropic
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DeepSeek
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Mistral: Codestral 2508 (batch) vs top alternatives
A side-by-side look at how Mistral: Codestral 2508 (batch) stacks up against its closest rivals.
| Feature | Mistral: Codestral 2508 (batch)Mistral AI | ClaudeAnthropic | ChatGPTOpenAI | GeminiGoogle DeepMind |
|---|---|---|---|---|
| Quality score | 7.3 / 10 | 9.6 / 10 | 9.5 / 10 | 9.2 / 10 |
| Starting price | $0.15/1M tokens | $20/mo | $20/mo | $20/mo |
| Free tier | No | Yes — Free tier available | Yes — Free tier available | Yes — Free tier available |
| API input price | $0.15 / 1M tokens | $5 / 1M tokens | $5 / 1M tokens | $0.375 / 1M tokens |
| API output price | $0.45 / 1M tokens | $25 / 1M tokens | $25 / 1M tokens | $1.875 / 1M tokens |
| Speed | — | Fast | Fast | Fast |
| Context window | 256,000 tokens | 200K tokens | 128K tokens | 1M-2M tokens |
| Categories | Coding, Chatbots & LLMs | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing |
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Frequently asked questions
Q. Is Mistral: Codestral 2508 (batch) free?
No — Mistral: Codestral 2508 (batch) is a paid tool, starting at $0.15/1M tokens.
Q. How much does Mistral: Codestral 2508 (batch) cost?
Mistral: Codestral 2508 (batch) starts at $0.15/1M tokens. API usage is around $0.15 per 1M input tokens and $0.45 per 1M output tokens.
Q. What is Mistral: Codestral 2508 (batch) best for?
Mistral: Codestral 2508 (batch) is best suited to coding, data analysis, research and writing, within the coding and chatbots & llms category.
Q. What are the best Mistral: Codestral 2508 (batch) alternatives?
Popular alternatives to Mistral: Codestral 2508 (batch) include Claude, ChatGPT, Gemini and Cursor. Each trades off price, quality and ecosystem differently.
Q. Is there a free alternative to Mistral: Codestral 2508 (batch)?
Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.
Q. Why switch from Mistral: Codestral 2508 (batch)?
Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token; Text-only: does not accept image input), data-privacy requirements, or simply wanting a tool that fits your stack better.
How we rate AI tools
Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.
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