Model comparison
Codestral vs GPT-5.5 Pro
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.6 on the Noometry Index. Codestral costs 150× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 19.8.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 256K.
Side by side
| Codestral | GPT-5.5 Pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 30.6 | 64.3 |
| Released | 2024-05-29 | 2026-04-23 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | 1.05M |
| Max output | 8K | 128K |
| Input $ / M tokens | $0.30 | $30 |
| Output $ / M tokens | $0.90 | $180 |
| Results tracked | 7 | 14 |
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Category by category
Coding Not comparable
Codestral: 27.3 (#321), GPT-5.5 Pro: —
| Benchmark | Codestral | GPT-5.5 Pro |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning GPT-5.5 Pro leads
Codestral: 19.8 (#251), GPT-5.5 Pro: 73.3 (#10)
| Benchmark | Codestral | GPT-5.5 Pro |
|---|---|---|
| ARC-AGI-2 | — | 84.6% |
| SimpleBench | — | 76.9% |
| Kagi LLM Benchmark | 32.5% | — |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30.6% |
| Chess Puzzles | — | 64% |
| DTBench | — | 96% |
| LMCA | — | 53.9% |
| Epoch Capabilities Index | — | 162.07 |
Math Not comparable
Codestral: —, GPT-5.5 Pro: 84.0 (#10)
| Benchmark | Codestral | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 87.7% |
| FrontierMath Tier 4 | — | 78% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Tier 4 (v1) | — | 39.6% |
Knowledge Not comparable
Codestral: —, GPT-5.5 Pro: 64.1 (#19)
| Benchmark | Codestral | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | — | 93.9% |
Frequently asked questions
Is Codestral better than GPT-5.5 Pro?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.6 on the Noometry Index. Codestral costs 150× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Codestral or GPT-5.5 Pro?
Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 256K.
How many benchmarks do Codestral and GPT-5.5 Pro share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and GPT-5.5 Pro has 14.