# GPT-4 vs Mistral Nemo

> GPT-4 is the stronger model overall, scoring 29.1 to 26.4 on the Noometry Index. Mistral Nemo costs 250× less per token, which makes it the better buy when GPT-4's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-4-vs-mistral-nemo
- Last updated: 2026-10-12
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. GPT-4 scores higher in 2 categories and Mistral Nemo in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Nemo leads 25.5 to 10.8.
- The biggest single-benchmark swing is DTBench: 62.7% for GPT-4 and 48.6% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $30 / $60 for GPT-4.
- Mistral Nemo accepts more context: 128K tokens versus 8K.
- Mistral Nemo has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4 | Mistral Nemo |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 29.1 | 26.4 |
| Rank | 316 | 337 |
| Context | 8K | 128K |
| Input $/M | $30 | $0.15 |
| Output $/M | $60 | $0.15 |
| Weights | Proprietary | Open |

## Coding

- GPT-4: 31.6 (#283)
- Mistral Nemo: —

| Benchmark | GPT-4 | Mistral Nemo |
|---|---|---|
| WeirdML | 12.4% | — |
| BigCodeBench Instruct | 46% | — |
| LMArena Coding | 1254 | — |
| BigCodeBench Complete | 57.2% | — |
| HumanEval+ | 79.3% | — |

## Agentic & Tool Use

- GPT-4: —
- Mistral Nemo: 23.5 (#125)

| Benchmark | GPT-4 | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
| METR Time Horizons | 36.1% | — |

## Reasoning

- GPT-4: 17.8 (#289)
- Mistral Nemo: 20.7 (#232)

| Benchmark | GPT-4 | Mistral Nemo |
|---|---|---|
| DTBench | 62.7% | 48.6% |
| Epoch Capabilities Index | 125.89 | 118.68 |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | 1241 | — |
| Mystery Game Puzzles | 12% | — |
| LMCA | 17.1% | — |
| BIG-Bench Hard | 75.1% | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| PIQA | — | 83.5% |
| WinoGrande | 87.5% | — |

## Math

- GPT-4: 10.8 (#309)
- Mistral Nemo: 25.5 (#268)

| Benchmark | GPT-4 | Mistral Nemo |
|---|---|---|
| MATH Level 5 | 23% | 10.8% |
| GSM8K | 92% | 84.2% |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| LMArena Math | 1269 | — |

## Knowledge

- GPT-4: 18.4 (#282)
- Mistral Nemo: 12.3 (#298)

| Benchmark | GPT-4 | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 35.7% | 29.9% |
| LMArena Expert | 1211 | — |
| BoolQ | — | 82.5% |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |

## Multilingual

- GPT-4: 40.6 (#215)
- Mistral Nemo: —

| Benchmark | GPT-4 | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1246 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1283 | — |
| LMArena German | 1251 | — |
| LMArena Japanese | 1209 | — |
| LMArena Korean | 1184 | — |
| LMArena Russian | 1251 | — |
| LMArena Spanish | 1261 | — |

## Instruction Following

- GPT-4: 65.3 (#222)
- Mistral Nemo: —

| Benchmark | GPT-4 | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1241 | — |

## Long Context

- GPT-4: 37.7 (#212)
- Mistral Nemo: —

| Benchmark | GPT-4 | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1244 | — |

## Writing & Preference

- GPT-4: 34.9 (#268)
- Mistral Nemo: 28.5 (#296)

| Benchmark | GPT-4 | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 752 | 881 |
| LMArena Text | 1263 | — |
| LMArena Creative Writing | 1244 | — |
| LMArena Multi-Turn | 1257 | — |

## FAQ

### Is GPT-4 better than Mistral Nemo?

GPT-4 is the stronger model overall, scoring 29.1 to 26.4 on the Noometry Index. Mistral Nemo costs 250× less per token, which makes it the better buy when GPT-4's lead doesn't matter for your workload.

### Which is cheaper, GPT-4 or Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-4 lists at $30 and $60.

### Which has the bigger context window?

Mistral Nemo does, with 128K tokens against 8K.

### How many benchmarks do GPT-4 and Mistral Nemo share?

6 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Mistral Nemo has 10.