# GPT-3.5-turbo vs Mistral

> Mistral is the stronger model overall, scoring 29.9 to 23.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-3-5-turbo-vs-mistral
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-3.5-turbo scores higher in 1 category and Mistral in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral leads 22.3 to 6.3.

## Snapshot

| | GPT-3.5-turbo | Mistral |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 23.2 | 29.9 |
| Rank | 350 | 303 |
| Context | 16K | — |
| Input $/M | $0.50 | — |
| Output $/M | $1.50 | — |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-3.5-turbo: 23.9 (#331)
- Mistral: 33.8 (#250)

| Benchmark | GPT-3.5-turbo | Mistral |
|---|---|---|
| LMArena Coding | 1136 | 1162 |
| WeirdML | 3.5% | — |
| BigCodeBench Instruct | 39.1% | — |
| BigCodeBench Complete | 50.6% | — |
| HumanEval+ | 70.7% | — |
| MBPP+ | 69.7% | — |

## Agentic & Tool Use

- GPT-3.5-turbo: —
- Mistral: —

| Benchmark | GPT-3.5-turbo | Mistral |
|---|---|---|
| METR Time Horizons | 21.5% | — |

## Reasoning

- GPT-3.5-turbo: 13.8 (#332)
- Mistral: 22.2 (#200)

| Benchmark | GPT-3.5-turbo | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1108 | 1149 |
| Chess Puzzles | 0% | — |
| Mystery Game Puzzles | 3% | — |
| DTBench | 48.5% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| Epoch Capabilities Index | 118.55 | — |
| ForecastBench | 50.4 | — |
| WinoGrande | 81.6% | — |

## Math

- GPT-3.5-turbo: 6.3 (#327)
- Mistral: 22.3 (#278)

| Benchmark | GPT-3.5-turbo | Mistral |
|---|---|---|
| LMArena Math | 1142 | 1180 |
| FrontierMath (Tiers 1-3) | 0% | — |
| OTIS Mock AIME 2024-2025 | 2.2% | — |
| Omni-MATH | — | 7.2% |
| MATH Level 5 | 15.9% | — |
| GSM8K | 57.8% | — |

## Knowledge

- GPT-3.5-turbo: 10.0 (#303)
- Mistral: 16.6 (#288)

| Benchmark | GPT-3.5-turbo | Mistral |
|---|---|---|
| LMArena Expert | 1070 | 1125 |
| GPQA Diamond | 28% | — |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |

## Multilingual

- GPT-3.5-turbo: 31.5 (#258)
- Mistral: 32.8 (#254)

| Benchmark | GPT-3.5-turbo | Mistral |
|---|---|---|
| LMArena Non-English | 1108 | 1129 |
| LMArena Chinese | 1075 | 1109 |
| LMArena French | 1118 | 1180 |
| LMArena German | 1090 | 1155 |
| LMArena Japanese | 1043 | 1013 |
| LMArena Korean | 1019 | 1032 |
| LMArena Russian | 1123 | 1168 |
| LMArena Spanish | 1121 | 1143 |

## Instruction Following

- GPT-3.5-turbo: 57.9 (#262)
- Mistral: 52.6 (#288)

| Benchmark | GPT-3.5-turbo | Mistral |
|---|---|---|
| LMArena Instruction Following | 1119 | 1152 |
| IFEval | — | 56.8% |

## Long Context

- GPT-3.5-turbo: 34.0 (#254)
- Mistral: 35.0 (#245)

| Benchmark | GPT-3.5-turbo | Mistral |
|---|---|---|
| LMArena Longer Query | 1121 | 1153 |

## Writing & Preference

- GPT-3.5-turbo: 25.3 (#305)
- Mistral: 37.0 (#260)

| Benchmark | GPT-3.5-turbo | Mistral |
|---|---|---|
| LMArena Text | 1125 | 1165 |
| LMArena Creative Writing | 1092 | 1158 |
| LMArena Multi-Turn | 1117 | 1147 |
| EQ-Bench Creative Writing | 451 | — |
| WildBench | — | 66% |

## FAQ

### Is GPT-3.5-turbo better than Mistral?

Mistral is the stronger model overall, scoring 29.9 to 23.2 on the Noometry Index.

### Is GPT-3.5-turbo or Mistral better for coding?

Mistral scores higher on coding benchmarks: 33.8 versus 23.9 in the Noometry coding category.

### How many benchmarks do GPT-3.5-turbo and Mistral share?

17 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Mistral has 22.