# GPT-3.5-turbo vs Mistral Nemo

> Mistral Nemo is the stronger model overall, scoring 26.4 to 23.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-3-5-turbo-vs-mistral-nemo
- Last updated: 2026-10-12
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and Mistral Nemo in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Nemo leads 25.5 to 6.3.
- The biggest single-benchmark swing is MATH Level 5: 15.9% for GPT-3.5-turbo and 10.8% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.50 / $1.50 for GPT-3.5-turbo.
- Mistral Nemo accepts more context: 128K tokens versus 16K.
- Mistral Nemo has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-3.5-turbo | Mistral Nemo |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 23.2 | 26.4 |
| Rank | 350 | 337 |
| Context | 16K | 128K |
| Input $/M | $0.50 | $0.15 |
| Output $/M | $1.50 | $0.15 |
| Weights | Proprietary | Open |

## Coding

- GPT-3.5-turbo: 23.9 (#331)
- Mistral Nemo: —

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

## Agentic & Tool Use

- GPT-3.5-turbo: —
- Mistral Nemo: 23.5 (#125)

| Benchmark | GPT-3.5-turbo | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
| METR Time Horizons | 21.5% | — |

## Reasoning

- GPT-3.5-turbo: 13.8 (#332)
- Mistral Nemo: 20.7 (#232)

| Benchmark | GPT-3.5-turbo | Mistral Nemo |
|---|---|---|
| DTBench | 48.5% | 48.6% |
| Epoch Capabilities Index | 118.55 | 118.68 |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1108 | — |
| Mystery Game Puzzles | 3% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| ForecastBench | 50.4 | — |
| PIQA | — | 83.5% |
| WinoGrande | 81.6% | — |

## Math

- GPT-3.5-turbo: 6.3 (#327)
- Mistral Nemo: 25.5 (#268)

| Benchmark | GPT-3.5-turbo | Mistral Nemo |
|---|---|---|
| MATH Level 5 | 15.9% | 10.8% |
| GSM8K | 57.8% | 84.2% |
| FrontierMath (Tiers 1-3) | 0% | — |
| OTIS Mock AIME 2024-2025 | 2.2% | — |
| LMArena Math | 1142 | — |

## Knowledge

- GPT-3.5-turbo: 10.0 (#303)
- Mistral Nemo: 12.3 (#298)

| Benchmark | GPT-3.5-turbo | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 28% | 29.9% |
| BoolQ | 87% | 82.5% |
| LMArena Expert | 1070 | — |
| ARC (AI2) Challenge | 87.4% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |

## Multilingual

- GPT-3.5-turbo: 31.5 (#258)
- Mistral Nemo: —

| Benchmark | GPT-3.5-turbo | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1108 | — |
| LMArena Chinese | 1075 | — |
| LMArena French | 1118 | — |
| LMArena German | 1090 | — |
| LMArena Japanese | 1043 | — |
| LMArena Korean | 1019 | — |
| LMArena Russian | 1123 | — |
| LMArena Spanish | 1121 | — |

## Instruction Following

- GPT-3.5-turbo: 57.9 (#262)
- Mistral Nemo: —

| Benchmark | GPT-3.5-turbo | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1119 | — |

## Long Context

- GPT-3.5-turbo: 34.0 (#254)
- Mistral Nemo: —

| Benchmark | GPT-3.5-turbo | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1121 | — |

## Writing & Preference

- GPT-3.5-turbo: 25.3 (#305)
- Mistral Nemo: 28.5 (#296)

| Benchmark | GPT-3.5-turbo | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 451 | 881 |
| LMArena Text | 1125 | — |
| LMArena Creative Writing | 1092 | — |
| LMArena Multi-Turn | 1117 | — |

## FAQ

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

Mistral Nemo is the stronger model overall, scoring 26.4 to 23.2 on the Noometry Index.

### Which is cheaper, GPT-3.5-turbo or Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-3.5-turbo lists at $0.50 and $1.50.

### Which has the bigger context window?

Mistral Nemo does, with 128K tokens against 16K.

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

7 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Mistral Nemo has 10.