# GPT-4.5 vs Mistral Small 3

> GPT-4.5 is the stronger model overall, scoring 37.2 to 31.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-5-vs-mistral-small-3
- Last updated: 2026-10-11
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. GPT-4.5 scores higher in 7 categories and Mistral Small 3 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 32.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 6.7% for Mistral Small 3.
- Mistral Small 3 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.5 | Mistral Small 3 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.2 | 31.2 |
| Rank | 208 | 278 |
| Context | — | 33K |
| Input $/M | — | $0.05 |
| Output $/M | — | $0.08 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.5: 42.2 (#109)
- Mistral Small 3: 36.5 (#207)

| Benchmark | GPT-4.5 | Mistral Small 3 |
|---|---|---|
| LMArena Coding | 1396 | 1246 |
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| BigCodeBench Instruct | — | 45.3% |
| LiveBench Coding | 75.2% | — |
| BigCodeBench Complete | — | 50.4% |

## Agentic & Tool Use

- GPT-4.5: 27.9 (#97)
- Mistral Small 3: —

| Benchmark | GPT-4.5 | Mistral Small 3 |
|---|---|---|
| Cybench | 17.5% | — |

## Reasoning

- GPT-4.5: 13.9 (#330)
- Mistral Small 3: 18.9 (#273)

| Benchmark | GPT-4.5 | Mistral Small 3 |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1233 |
| Epoch Capabilities Index | 136.74 | 127.07 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |

## Math

- GPT-4.5: 32.6 (#211)
- Mistral Small 3: 16.3 (#295)

| Benchmark | GPT-4.5 | Mistral Small 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 6.7% |
| LMArena Math | 1412 | 1240 |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |

## Knowledge

- GPT-4.5: 32.5 (#211)
- Mistral Small 3: 25.1 (#263)

| Benchmark | GPT-4.5 | Mistral Small 3 |
|---|---|---|
| GPQA Diamond | 68.7% | 47.3% |
| Confabulations | 13.6% | 25.2% |
| LMArena Expert | 1394 | 1202 |
| Humanity's Last Exam | 5.4% | — |

## Multimodal

- GPT-4.5: 37.6 (#71)
- Mistral Small 3: —

| Benchmark | GPT-4.5 | Mistral Small 3 |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |

## Multilingual

- GPT-4.5: 52.5 (#83)
- Mistral Small 3: 37.3 (#236)

| Benchmark | GPT-4.5 | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1413 | 1198 |
| LMArena Chinese | 1421 | 1204 |
| LMArena French | 1418 | 1203 |
| LMArena German | 1457 | 1211 |
| LMArena Japanese | 1416 | 1111 |
| LMArena Korean | 1392 | 1188 |
| LMArena Russian | 1419 | 1216 |

## Instruction Following

- GPT-4.5: 72.6 (#134)
- Mistral Small 3: 63.7 (#229)

| Benchmark | GPT-4.5 | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1214 |
| LiveBench Instruction Following | 72.3% | — |

## Long Context

- GPT-4.5: 40.4 (#155)
- Mistral Small 3: 37.8 (#211)

| Benchmark | GPT-4.5 | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1406 | 1246 |
| Fiction.LiveBench | 63.9% | — |

## Writing & Preference

- GPT-4.5: 56.9 (#134)
- Mistral Small 3: 32.2 (#280)

| Benchmark | GPT-4.5 | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1417 | 1234 |
| LMArena Creative Writing | 1394 | 1195 |
| EQ-Bench Creative Writing | 1258 | 707 |
| LMArena Multi-Turn | 1444 | 1217 |
| Short-Story Creative Writing | 75.6% | — |
| LiveBench Language | 61.5% | — |

## FAQ

### Is GPT-4.5 better than Mistral Small 3?

GPT-4.5 is the stronger model overall, scoring 37.2 to 31.2 on the Noometry Index.

### Is GPT-4.5 or Mistral Small 3 better for coding?

GPT-4.5 scores higher on coding benchmarks: 42.2 versus 36.5 in the Noometry coding category.

### How many benchmarks do GPT-4.5 and Mistral Small 3 share?

21 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Mistral Small 3 has 24.