Model comparison
GPT-5.5 Pro vs Mistral Large 4
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 43.1 on the Noometry Index. Mistral Large 4 costs 65× 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 22.5.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 1.05M.
Side by side
| GPT-5.5 Pro | Mistral Large 4 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 64.3 | 43.1 |
| Released | 2026-04-23 | 2026-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 128K | 262K |
| Input $ / M tokens | $30 | $0.68 |
| Output $ / M tokens | $180 | $2.09 |
| Results tracked | 14 | 15 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Mistral Large 4: 48.6 (#57)
| Benchmark | GPT-5.5 Pro | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | — | 1541 |
| LMArena Coding | — | 1475 |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Mistral Large 4: 22.5 (#192)
| Benchmark | GPT-5.5 Pro | Mistral Large 4 |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| NYT Connections (extended) | — | 27.4% |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| LMArena Hard Prompts | — | 1444 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Epoch Capabilities Index | 162.07 | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), Mistral Large 4: 40.4 (#91)
| Benchmark | GPT-5.5 Pro | Mistral Large 4 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LMArena Math | — | 1488 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), Mistral Large 4: 36.6 (#166)
| Benchmark | GPT-5.5 Pro | Mistral Large 4 |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| SimpleQA Verified | — | 20% |
| LMArena Expert | — | 1447 |
Multilingual Not comparable
GPT-5.5 Pro: —, Mistral Large 4: 52.6 (#82)
| Benchmark | GPT-5.5 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | — | 1415 |
| LMArena Chinese | — | 1491 |
| LMArena Russian | — | 1414 |
Instruction Following Not comparable
GPT-5.5 Pro: —, Mistral Large 4: 75.0 (#76)
| Benchmark | GPT-5.5 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | — | 1424 |
Long Context Not comparable
GPT-5.5 Pro: —, Mistral Large 4: 43.6 (#89)
| Benchmark | GPT-5.5 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | — | 1429 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Mistral Large 4: 60.4 (#97)
| Benchmark | GPT-5.5 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1361 |
| LMArena Multi-Turn | — | 1424 |
Frequently asked questions
Is GPT-5.5 Pro better than Mistral Large 4?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 43.1 on the Noometry Index. Mistral Large 4 costs 65× 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, GPT-5.5 Pro or Mistral Large 4?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 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 1.05M.
How many benchmarks do GPT-5.5 Pro and Mistral Large 4 share?
0 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Mistral Large 4 has 15.