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Claude Opus 4.6 vs Codestral 2508

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Opus 4.6 and Codestral 2508.

Anthropic

Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

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Mistral

Codestral 2508

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)

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Technical Specifications

SpecificationClaude Opus 4.6Codestral 2508
ProviderAnthropicMistral
Context Window1,000,000 tokens256,000 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)500 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042025-08-01

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

Codestral 2508

$0.30

Output Price per Million Tokens

Claude Opus 4.6

$25.00

Codestral 2508

$0.90

Want to test both models live?

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9250.0%vsN/A
Claude Opus 4.6
Codestral 2508
HumanEvalPython coding & logic synthesis
9450.0%vsN/A
Claude Opus 4.6
Codestral 2508
MATHComplex mathematical problem solving
8890.0%vsN/A
Claude Opus 4.6
Codestral 2508
GPQAGraduate-level expert reasoning
7980.0%vsN/A
Claude Opus 4.6
Codestral 2508
HellaSwagCommonsense reasoning and inference
9750.0%vsN/A
Claude Opus 4.6
Codestral 2508
MT-BenchMulti-turn conversation flow quality
965.0%vsN/A
Claude Opus 4.6
Codestral 2508

Claude Opus 4.6 Quirks & Gotchas

  • Best for long-context document analysis and legal review
  • Tool calling requires structured prompt — prone to verbose refusal without explicit output schema

Codestral 2508 Quirks & Gotchas

No developer gotchas reported.