# GPT-6.1 Sol vs Pixtral Large

> GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-1-sol-vs-pixtral-large
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-6.1 Sol scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 21.7.
- Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6.1 Sol | Pixtral Large |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 65.6 | 32.2 |
| Rank | 6 | 259 |
| Context | 1.05M | 128K |
| Input $/M | $2 | $2 |
| Output $/M | $10 | $6 |
| Weights | Proprietary | Open |

## Coding

- GPT-6.1 Sol: 63.2 (#8)
- Pixtral Large: —

| Benchmark | GPT-6.1 Sol | Pixtral Large |
|---|---|---|
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
| LMArena Coding | 1487 | — |

## Agentic & Tool Use

- GPT-6.1 Sol: 39.6 (#26)
- Pixtral Large: —

| Benchmark | GPT-6.1 Sol | Pixtral Large |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |

## Reasoning

- GPT-6.1 Sol: 81.9 (#2)
- Pixtral Large: 21.7 (#218)

| Benchmark | GPT-6.1 Sol | Pixtral Large |
|---|---|---|
| ARC-AGI-2 | 94.2% | — |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| Chess Puzzles | 61% | — |
| EnigmaEval | — | 0.8% |
| EBR-Bench | 54.3% | — |
| LMArena Hard Prompts | 1466 | — |
| Mystery Game Puzzles | 80% | — |
| Epoch Capabilities Index | 166.09 | — |

## Math

- GPT-6.1 Sol: 93.7 (#1)
- Pixtral Large: —

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

## Knowledge

- GPT-6.1 Sol: 71.8 (#4)
- Pixtral Large: —

| Benchmark | GPT-6.1 Sol | Pixtral Large |
|---|---|---|
| GPQA Diamond | 95.4% | — |
| SimpleQA Verified | 73.9% | — |
| LMArena Expert | 1502 | — |

## Multimodal

- GPT-6.1 Sol: 52.7 (#5)
- Pixtral Large: 30.6 (#111)

| Benchmark | GPT-6.1 Sol | Pixtral Large |
|---|---|---|
| LMArena Vision | 1288 | 1089 |
| Furniture Assembly | 80% | — |

## Multilingual

- GPT-6.1 Sol: 54.3 (#46)
- Pixtral Large: —

| Benchmark | GPT-6.1 Sol | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1438 | — |
| LMArena Chinese | 1477 | — |
| LMArena Russian | 1455 | — |

## Instruction Following

- GPT-6.1 Sol: 77.0 (#29)
- Pixtral Large: —

| Benchmark | GPT-6.1 Sol | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1468 | — |

## Long Context

- GPT-6.1 Sol: 44.9 (#54)
- Pixtral Large: —

| Benchmark | GPT-6.1 Sol | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1465 | — |

## Writing & Preference

- GPT-6.1 Sol: 63.6 (#63)
- Pixtral Large: 32.9 (#278)

| Benchmark | GPT-6.1 Sol | Pixtral Large |
|---|---|---|
| LMArena Text | 1447 | — |
| LMArena Creative Writing | 1432 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1449 | — |

## FAQ

### Is GPT-6.1 Sol better than Pixtral Large?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 32.2 on the Noometry Index.

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

Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

### Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 128K.

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

1 benchmark has published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Pixtral Large has 3.