Model comparison
GPT-4.5 vs Mistral Small 3.1
GPT-4.5 is the stronger model overall, scoring 37.2 to 31.7 on the Noometry Index.
Last verified . 21 shared benchmarks.
Mistral AISummary
- They share 21 benchmarks with published results for both. GPT-4.5 scores higher in 8 categories and Mistral Small 3.1 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.5 leads 56.9 to 37.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 3.9% for Mistral Small 3.1.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Mistral Small 3.1 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.2 | 31.7 |
| Released | 2025-02-27 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 102K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $0.56 |
| Results tracked | 42 | 28 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 42.2 (#109), Mistral Small 3.1: 38.3 (#179)
| Benchmark | GPT-4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1396 | 1309 |
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
Agentic & Tool Use Not comparable
GPT-4.5: 27.9 (#97), Mistral Small 3.1: —
| Benchmark | GPT-4.5 | Mistral Small 3.1 |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Mistral Small 3.1 leads
GPT-4.5: 13.9 (#330), Mistral Small 3.1: 19.7 (#254)
| Benchmark | GPT-4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1278 |
| Epoch Capabilities Index | 136.74 | 127.48 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| Chess Puzzles | — | 1% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math GPT-4.5 leads
GPT-4.5: 32.6 (#211), Mistral Small 3.1: 14.7 (#301)
| Benchmark | GPT-4.5 | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 3.9% |
| LMArena Math | 1412 | 1262 |
| Omni-MATH | — | 24.8% |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge GPT-4.5 leads
GPT-4.5: 32.5 (#211), Mistral Small 3.1: 22.6 (#271)
| Benchmark | GPT-4.5 | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 68.7% | 41.9% |
| LMArena Expert | 1394 | 1257 |
| Humanity's Last Exam | 5.4% | — |
| MMLU-Pro | — | 61% |
| Confabulations | 13.6% | — |
| GPQA (HELM) | — | 39.2% |
Multimodal GPT-4.5 leads
GPT-4.5: 37.6 (#71), Mistral Small 3.1: 33.2 (#99)
| Benchmark | GPT-4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1195 | 1136 |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.5 (#83), Mistral Small 3.1: 41.2 (#209)
| Benchmark | GPT-4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1413 | 1255 |
| LMArena Chinese | 1421 | 1253 |
| LMArena French | 1418 | 1273 |
| LMArena German | 1457 | 1266 |
| LMArena Japanese | 1416 | 1208 |
| LMArena Korean | 1392 | 1206 |
| LMArena Russian | 1419 | 1263 |
| LMArena Spanish | — | 1283 |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.6 (#134), Mistral Small 3.1: 63.6 (#230)
| Benchmark | GPT-4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1264 |
| LiveBench Instruction Following | 72.3% | — |
| IFEval | — | 75% |
Long Context Too close to call
GPT-4.5: 40.4 (#155), Mistral Small 3.1: 39.5 (#178)
| Benchmark | GPT-4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1406 | 1299 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 56.9 (#134), Mistral Small 3.1: 37.0 (#259)
| Benchmark | GPT-4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1417 | 1277 |
| LMArena Creative Writing | 1394 | 1253 |
| EQ-Bench Creative Writing | 1258 | 761 |
| LMArena Multi-Turn | 1444 | 1270 |
| Short-Story Creative Writing | 75.6% | — |
| WildBench | — | 78.8% |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Mistral Small 3.1?
GPT-4.5 is the stronger model overall, scoring 37.2 to 31.7 on the Noometry Index.
Is GPT-4.5 or Mistral Small 3.1 better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 38.3 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Mistral Small 3.1 share?
21 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Mistral Small 3.1 has 28.