Mistral AICodestral 22BVSOpenAIGPT-5.5
Our Take
Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Codestral 22B and GPT-5.5 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
Was this recommendation helpful?
Benchmarks & 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)25.0x cheaper
$0.45Input: $0.30 | Output: $0.90Context Window
32.77k tokensBenchmarks & Scores
Coding (swe-bench-pro)
58.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
93.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Codestral 22B vs GPT-5.5
Codestral 22B is cheaper than GPT-5.5. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 25.0x cheaper than GPT-5.5 at $11.25/1M tokens.
For coding tasks, Codestral 22B scores 81.1% on human-eval (basic standalone code completion and simple functions), while GPT-5.5 scores 58.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).
Related Matchups
Explore similar comparisons for Codestral 22B and GPT-5.5.
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.