Model comparison
GPT-4.5 vs Mistral
GPT-4.5 is the stronger model overall, scoring 37.2 to 29.9 on the Noometry Index.
Last verified . 16 shared benchmarks.
Mistral AISummary
- They share 16 benchmarks with published results for both. GPT-4.5 scores higher in 7 categories and Mistral in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-4.5 leads 72.6 to 52.6.
Side by side
| GPT-4.5 | Mistral | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.2 | 29.9 |
| Released | 2025-02-27 | — |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 22 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 42.2 (#109), Mistral: 33.8 (#250)
| Benchmark | GPT-4.5 | Mistral |
|---|---|---|
| LMArena Coding | 1396 | 1162 |
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
Agentic & Tool Use Not comparable
GPT-4.5: 27.9 (#97), Mistral: —
| Benchmark | GPT-4.5 | Mistral |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Mistral leads
GPT-4.5: 13.9 (#330), Mistral: 22.2 (#200)
| Benchmark | GPT-4.5 | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1149 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math GPT-4.5 leads
GPT-4.5: 32.6 (#211), Mistral: 22.3 (#278)
| Benchmark | GPT-4.5 | Mistral |
|---|---|---|
| LMArena Math | 1412 | 1180 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| Omni-MATH | — | 7.2% |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge GPT-4.5 leads
GPT-4.5: 32.5 (#211), Mistral: 16.6 (#288)
| Benchmark | GPT-4.5 | Mistral |
|---|---|---|
| LMArena Expert | 1394 | 1125 |
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| MMLU-Pro | — | 27.7% |
| Confabulations | 13.6% | — |
| GPQA (HELM) | — | 30.3% |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Mistral: —
| Benchmark | GPT-4.5 | Mistral |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.5 (#83), Mistral: 32.8 (#254)
| Benchmark | GPT-4.5 | Mistral |
|---|---|---|
| LMArena Non-English | 1413 | 1129 |
| LMArena Chinese | 1421 | 1109 |
| LMArena French | 1418 | 1180 |
| LMArena German | 1457 | 1155 |
| LMArena Japanese | 1416 | 1013 |
| LMArena Korean | 1392 | 1032 |
| LMArena Russian | 1419 | 1168 |
| LMArena Spanish | — | 1143 |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.6 (#134), Mistral: 52.6 (#288)
| Benchmark | GPT-4.5 | Mistral |
|---|---|---|
| LMArena Instruction Following | 1404 | 1152 |
| LiveBench Instruction Following | 72.3% | — |
| IFEval | — | 56.8% |
Long Context GPT-4.5 leads
GPT-4.5: 40.4 (#155), Mistral: 35.0 (#245)
| Benchmark | GPT-4.5 | Mistral |
|---|---|---|
| LMArena Longer Query | 1406 | 1153 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 56.9 (#134), Mistral: 37.0 (#260)
| Benchmark | GPT-4.5 | Mistral |
|---|---|---|
| LMArena Text | 1417 | 1165 |
| LMArena Creative Writing | 1394 | 1158 |
| LMArena Multi-Turn | 1444 | 1147 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| WildBench | — | 66% |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Mistral?
GPT-4.5 is the stronger model overall, scoring 37.2 to 29.9 on the Noometry Index.
Is GPT-4.5 or Mistral better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 33.8 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Mistral share?
16 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Mistral has 22.