# GPT-6.1 Sol vs Mistral Large 3

> Mistral Large 3 has enough public results to be ranked (#172); GPT-6.1 Sol does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/gpt-6-1-sol-vs-mistral-large-3
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 34.1.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6.1 Sol | Mistral Large 3 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.1 | 38.6 |
| Rank | — | 172 |
| Context | 1.05M | 262K |
| Input $/M | $2 | $0.25 |
| Output $/M | $10 | $0.75 |
| Weights | Proprietary | Open |

## Coding

- GPT-6.1 Sol: 51.4
- Mistral Large 3: 34.1 (#230)

| Benchmark | GPT-6.1 Sol | Mistral Large 3 |
|---|---|---|
| DeepSWE | 75.2% | — |
| LMArena WebDev | — | 1230 |
| LMArena Coding | — | 1447 |

## Agentic & Tool Use

- GPT-6.1 Sol: 34.3
- Mistral Large 3: —

| Benchmark | GPT-6.1 Sol | Mistral Large 3 |
|---|---|---|
| GDP.pdf | 32% | — |

## Reasoning

- GPT-6.1 Sol: —
- Mistral Large 3: 14.6 (#314)

| Benchmark | GPT-6.1 Sol | Mistral Large 3 |
|---|---|---|
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| Thematic Generalization | — | 23% |
| LMArena Hard Prompts | — | 1429 |

## Math

- GPT-6.1 Sol: —
- Mistral Large 3: 36.0 (#131)

| Benchmark | GPT-6.1 Sol | Mistral Large 3 |
|---|---|---|
| LMArena Math | — | 1415 |

## Knowledge

- GPT-6.1 Sol: —
- Mistral Large 3: 35.5 (#173)

| Benchmark | GPT-6.1 Sol | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | — | 14.5% |
| LMArena Expert | — | 1421 |

## Multimodal

- GPT-6.1 Sol: —
- Mistral Large 3: 37.6 (#65)

| Benchmark | GPT-6.1 Sol | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1222 |

## Multilingual

- GPT-6.1 Sol: —
- Mistral Large 3: 52.6 (#79)

| Benchmark | GPT-6.1 Sol | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | — | 1412 |
| LMArena Chinese | — | 1448 |
| LMArena French | — | 1456 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1412 |
| LMArena Spanish | — | 1437 |

## Instruction Following

- GPT-6.1 Sol: —
- Mistral Large 3: 74.1 (#104)

| Benchmark | GPT-6.1 Sol | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | — | 1402 |

## Long Context

- GPT-6.1 Sol: —
- Mistral Large 3: 43.1 (#102)

| Benchmark | GPT-6.1 Sol | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | — | 1413 |

## Writing & Preference

- GPT-6.1 Sol: —
- Mistral Large 3: 60.2 (#100)

| Benchmark | GPT-6.1 Sol | Mistral Large 3 |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1385 |
| EQ-Bench Creative Writing | — | 1412 |
| LMArena Multi-Turn | — | 1429 |

## FAQ

### Is GPT-6.1 Sol better than Mistral Large 3?

Mistral Large 3 has enough public results to be ranked (#172); GPT-6.1 Sol does not yet, so treat this comparison as directional.

### Which is cheaper, GPT-6.1 Sol or Mistral Large 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

### Is GPT-6.1 Sol or Mistral Large 3 better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 262K.

### How many benchmarks do GPT-6.1 Sol and Mistral Large 3 share?

0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Mistral Large 3 has 24.