Mistral AIMistral Large 3VSOpenAIGPT-5.5 Pro
Our Take
Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Mistral Large 3 and GPT-5.5 Pro directly in their respective provider playgrounds to see which fits your specific prompt styles best.
Was this recommendation helpful?
Benchmarks & Scores
Coding (live-code-bench)
34.4%scripting single-file apps or clearly defined functions
Reasoning (gpqa-diamond)
85.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)90.0x cheaper
$0.75Input: $0.50 | Output: $1.50Context Window
262.14k tokensBenchmarks & Scores
Coding (swe-bench-pro)
N/Acomplex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+10.7%)
96.2%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$67.50Input: $30.00 | Output: $180.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Mistral Large 3 vs GPT-5.5 Pro
Mistral Large 3 is cheaper than GPT-5.5 Pro. Mistral Large 3 has a blended cost of $0.75/1M tokens, which is about 90.0x cheaper than GPT-5.5 Pro at $67.50/1M tokens.
Related Matchups
Explore similar comparisons for Mistral Large 3 and GPT-5.5 Pro.
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.