# GPT-6 Sol vs Mistral Small 3.1

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 10.0× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-6-sol-vs-mistral-small-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GPT-6 Sol scores higher in 9 categories and Mistral Small 3.1 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-6 Sol leads 72.3 to 37.2.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 128K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Sol | Mistral Small 3.1 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 49.2 | 31.4 |
| Rank | 46 | 263 |
| Context | 1.05M | 128K |
| Input $/M | $2 | $0.35 |
| Output $/M | $10 | $0.56 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Sol: 59.6 (#11)
- Mistral Small 3.1: 37.7 (#175)

| Benchmark | GPT-6 Sol | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1453 | 1309 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |

## Agentic & Tool Use

- GPT-6 Sol: 33.5 (#49)
- Mistral Small 3.1: —

| Benchmark | GPT-6 Sol | Mistral Small 3.1 |
|---|---|---|
| GDP.pdf | 28% | — |

## Reasoning

- GPT-6 Sol: 49.3 (#34)
- Mistral Small 3.1: 18.9 (#249)

| Benchmark | GPT-6 Sol | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1278 |
| NYT Connections (extended) | 90.1% | — |
| Chess Puzzles | — | 1% |
| EBR-Bench | 53.3% | — |
| Epoch Capabilities Index | — | 127.48 |

## Math

- GPT-6 Sol: 35.8 (#135)
- Mistral Small 3.1: 13.7 (#295)

| Benchmark | GPT-6 Sol | Mistral Small 3.1 |
|---|---|---|
| LMArena Math | 1404 | 1261 |
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |

## Knowledge

- GPT-6 Sol: 43.0 (#87)
- Mistral Small 3.1: 22.6 (#266)

| Benchmark | GPT-6 Sol | Mistral Small 3.1 |
|---|---|---|
| LMArena Expert | 1449 | 1258 |
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| Vectara Hallucination Rate | 6.5% | — |
| GPQA (HELM) | — | 39.2% |

## Multimodal

- GPT-6 Sol: 47.6 (#9)
- Mistral Small 3.1: 32.6 (#93)

| Benchmark | GPT-6 Sol | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |
| Furniture Assembly | 58.3% | — |

## Multilingual

- GPT-6 Sol: 51.0 (#113)
- Mistral Small 3.1: 41.4 (#204)

| Benchmark | GPT-6 Sol | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1389 | 1255 |
| LMArena Chinese | 1416 | 1254 |
| LMArena Russian | 1407 | 1263 |
| LMArena Spanish | 1377 | 1283 |
| LMArena French | — | 1270 |
| LMArena German | — | 1266 |
| LMArena Japanese | — | 1210 |
| LMArena Korean | — | 1206 |

## Instruction Following

- GPT-6 Sol: 74.4 (#97)
- Mistral Small 3.1: 63.8 (#225)

| Benchmark | GPT-6 Sol | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1406 | 1264 |
| IFEval | — | 75% |

## Long Context

- GPT-6 Sol: 43.2 (#100)
- Mistral Small 3.1: 39.5 (#172)

| Benchmark | GPT-6 Sol | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1415 | 1300 |

## Writing & Preference

- GPT-6 Sol: 72.3 (#15)
- Mistral Small 3.1: 37.2 (#254)

| Benchmark | GPT-6 Sol | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1396 | 1278 |
| LMArena Creative Writing | 1392 | 1253 |
| EQ-Bench Creative Writing | 2125 | 761 |
| LMArena Multi-Turn | 1405 | 1270 |
| WildBench | — | 78.8% |

## FAQ

### Is GPT-6 Sol better than Mistral Small 3.1?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 10.0× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

### Which is cheaper, GPT-6 Sol or Mistral Small 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; GPT-6 Sol lists at $2 and $10.

### Is GPT-6 Sol or Mistral Small 3.1 better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 37.7 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 128K.

### How many benchmarks do GPT-6 Sol and Mistral Small 3.1 share?

14 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Mistral Small 3.1 has 28.