Codestral (2508)
StandardMistral's dedicated code model — August 2025 update.
Optimized for fast code completion, generation, and debugging across 80+ programming languages.
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Codestral (2508) is somewhat expensive at $0.30/M tokens input and $0.90/M tokens output. Cached input reads are priced at $0.03/M tokens, making repeated context cheaper. The model supports a 256K context window.
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Nemotron 3 Ultravs Codestral (2508)Frequently Asked Questions about Codestral (2508)▼
When was Codestral (2508) released?
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Codestral (2508) was released on August 1, 2025.
Who created Codestral (2508)?
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Codestral (2508) was created by Mistral.
How much does Codestral (2508) cost?
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Codestral (2508) costs $0.30/M input tokens and $0.90/M output tokens.
What is Codestral (2508) API pricing?
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The Codestral (2508) API is priced at $0.30 per million input tokens and $0.90 per million output tokens. You can access Codestral (2508) through idapt.app alongside 200+ other AI models in one workspace.
Is Codestral (2508) a reasoning model?
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No, Codestral (2508) is not a reasoning model. It responds directly without an extended internal thinking step. For tasks requiring deep chain-of-thought reasoning, consider models like Claude, o-series from OpenAI, or Gemini Thinking.
Does Codestral (2508) support image or vision input?
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No, Codestral (2508) does not currently support image or vision input. It is a text-only model.
Does Codestral (2508) support audio?
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No, Codestral (2508) does not support audio input.
What is the context window of Codestral (2508)?
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Codestral (2508) has a context window of 256K tokens, meaning it can process approximately 192,000 words of context at once.
Is Codestral (2508) open source?
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Codestral (2508) is a proprietary model developed by Mistral. The model weights and training data are not publicly available.
Where can I use Codestral (2508)?
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You can chat with Codestral (2508) on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Codestral (2508) through Mistral's own API or platform.