AnthropicClaude Sonnet 4.6VSMistral AICodestral 22B
Our Take
Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Claude Sonnet 4.6 and Codestral 22B directly in their respective provider playgrounds to see which fits your specific prompt styles best.
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)
N/Acomplex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
79.9%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$6.00Input: $3.00 | Output: $15.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (human-eval)
81.1%basic standalone code completion and simple functions
Reasoning (gpqa-diamond)
N/Agraduate-level science QA
Cost & Context
Cost (per 1M tokens)13.3x cheaper
$0.45Input: $0.30 | Output: $0.90Context Window
32.77k tokensFrequently Asked Questions about Claude Sonnet 4.6 vs Codestral 22B
Codestral 22B is cheaper than Claude Sonnet 4.6. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 13.3x cheaper than Claude Sonnet 4.6 at $6.00/1M tokens.
Related Matchups
Explore similar comparisons for Claude Sonnet 4.6 and Codestral 22B.
Do you want to find a model for your constraints?
Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.