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Codestral 2508 (batch)

text+file->text

Code-specialist model from Mistral. 256K context fits whole repos and 80+ programming languages.

Codestral 2508 (batch) is a efficient AI model from Mistral. It costs $0.150 per million input tokens and $0.450 per million output tokens (blended $0.240/M), with a 256,000-token context window.

Profile inherited from upstream Codestral ↗ — this is a hosted variant of the same open-weights model.

INPUT
$0.150/M
per million input tokens
OUTPUT
$0.450/M
per million output tokens
BLENDED 70/30
$0.240/M
unchanged since 3 May
CONTEXT
256,000
tokens
What it is good at
  • Code-tuned
  • 256K context
  • 80+ languages
Typical use cases
  • IDE autocomplete
  • Code review
  • Repo Q&A

Benchmarks

vs. best public score
Scores inherited from Codestral — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MATH51%
High-school competition math problems.
Python function synthesis from docstrings.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Codestral 2508 (batch) cost?

Codestral 2508 (batch) costs $0.150 per million input tokens and $0.450 per million output tokens, for a blended reference rate of $0.240 per million tokens.

What is Codestral 2508 (batch)'s context window?

Codestral 2508 (batch) supports up to 256,000 tokens of context in a single request.

What is Codestral 2508 (batch) best for?

Codestral 2508 (batch) is well suited to Code-tuned, 256K context and 80+ languages.

Who makes Codestral 2508 (batch)?

Codestral 2508 (batch) is developed and served by Mistral.

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