# GPT-6.1 Sol vs Mistral Small 3

> GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 31.2 on the Noometry Index. Mistral Small 3 costs 70× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-6-1-sol-vs-mistral-small-3
- Last updated: 2026-10-12
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GPT-6.1 Sol scores higher in 8 categories and Mistral Small 3 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 16.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-6.1 Sol and 6.7% for Mistral Small 3.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 33K.
- Mistral Small 3 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6.1 Sol | Mistral Small 3 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 65.6 | 31.2 |
| Rank | 6 | 278 |
| Context | 1.05M | 33K |
| Input $/M | $2 | $0.05 |
| Output $/M | $10 | $0.08 |
| Weights | Proprietary | Open |

## Coding

- GPT-6.1 Sol: 63.2 (#8)
- Mistral Small 3: 36.5 (#207)

| Benchmark | GPT-6.1 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Coding | 1487 | 1246 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
| BigCodeBench Instruct | — | 45.3% |
| BigCodeBench Complete | — | 50.4% |

## Agentic & Tool Use

- GPT-6.1 Sol: 39.6 (#26)
- Mistral Small 3: —

| Benchmark | GPT-6.1 Sol | Mistral Small 3 |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |

## Reasoning

- GPT-6.1 Sol: 81.9 (#2)
- Mistral Small 3: 18.9 (#273)

| Benchmark | GPT-6.1 Sol | Mistral Small 3 |
|---|---|---|
| Chess Puzzles | 61% | 0% |
| LMArena Hard Prompts | 1466 | 1233 |
| Epoch Capabilities Index | 166.09 | 127.07 |
| ARC-AGI-2 | 94.2% | — |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |

## Math

- GPT-6.1 Sol: 93.7 (#1)
- Mistral Small 3: 16.3 (#295)

| Benchmark | GPT-6.1 Sol | Mistral Small 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 6.7% |
| LMArena Math | 1464 | 1240 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| ProofBench | 99% | — |

## Knowledge

- GPT-6.1 Sol: 71.8 (#4)
- Mistral Small 3: 25.1 (#263)

| Benchmark | GPT-6.1 Sol | Mistral Small 3 |
|---|---|---|
| GPQA Diamond | 95.4% | 47.3% |
| LMArena Expert | 1502 | 1202 |
| SimpleQA Verified | 73.9% | — |
| Confabulations | — | 25.2% |

## Multimodal

- GPT-6.1 Sol: 52.7 (#5)
- Mistral Small 3: —

| Benchmark | GPT-6.1 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |

## Multilingual

- GPT-6.1 Sol: 54.3 (#46)
- Mistral Small 3: 37.3 (#236)

| Benchmark | GPT-6.1 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1438 | 1198 |
| LMArena Chinese | 1477 | 1204 |
| LMArena Russian | 1455 | 1216 |
| LMArena French | — | 1203 |
| LMArena German | — | 1211 |
| LMArena Japanese | — | 1111 |
| LMArena Korean | — | 1188 |

## Instruction Following

- GPT-6.1 Sol: 77.0 (#29)
- Mistral Small 3: 63.7 (#229)

| Benchmark | GPT-6.1 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1468 | 1214 |

## Long Context

- GPT-6.1 Sol: 44.9 (#54)
- Mistral Small 3: 37.8 (#211)

| Benchmark | GPT-6.1 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1465 | 1246 |

## Writing & Preference

- GPT-6.1 Sol: 63.6 (#63)
- Mistral Small 3: 32.2 (#280)

| Benchmark | GPT-6.1 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1447 | 1234 |
| LMArena Creative Writing | 1432 | 1195 |
| LMArena Multi-Turn | 1449 | 1217 |
| EQ-Bench Creative Writing | — | 707 |

## FAQ

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

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 31.2 on the Noometry Index. Mistral Small 3 costs 70× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

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

Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

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

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 36.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 33K.

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

16 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Mistral Small 3 has 24.