# GPT-6 Luna vs Pixtral Large

> GPT-6 Luna is the stronger model overall, scoring 45.1 to 31.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-luna-vs-pixtral-large
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in writing & preference, where GPT-6 Luna leads 58.4 to 32.9.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $2 / $6 for Pixtral Large.
- GPT-6 Luna accepts more context: 1.05M tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Luna | Pixtral Large |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 45.1 | 31.7 |
| Rank | 65 | 257 |
| Context | 1.05M | 128K |
| Input $/M | $0.10 | $2 |
| Output $/M | $0.50 | $6 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Luna: 54.7 (#24)
- Pixtral Large: —

| Benchmark | GPT-6 Luna | Pixtral Large |
|---|---|---|
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
| LMArena Coding | 1448 | — |

## Reasoning

- GPT-6 Luna: 31.7 (#68)
- Pixtral Large: 20.9 (#208)

| Benchmark | GPT-6 Luna | Pixtral Large |
|---|---|---|
| NYT Connections (extended) | 68.7% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1415 | — |

## Math

- GPT-6 Luna: 35.6 (#140)
- Pixtral Large: —

| Benchmark | GPT-6 Luna | Pixtral Large |
|---|---|---|
| LMArena Math | 1396 | — |

## Knowledge

- GPT-6 Luna: 40.1 (#110)
- Pixtral Large: —

| Benchmark | GPT-6 Luna | Pixtral Large |
|---|---|---|
| LMArena Expert | 1458 | — |

## Multimodal

- GPT-6 Luna: 42.0 (#27)
- Pixtral Large: 30.0 (#105)

| Benchmark | GPT-6 Luna | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
| Furniture Assembly | 44.2% | — |

## Multilingual

- GPT-6 Luna: 51.0 (#111)
- Pixtral Large: —

| Benchmark | GPT-6 Luna | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1390 | — |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1392 | — |
| LMArena Spanish | 1416 | — |

## Instruction Following

- GPT-6 Luna: 74.7 (#85)
- Pixtral Large: —

| Benchmark | GPT-6 Luna | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1414 | — |

## Long Context

- GPT-6 Luna: 43.3 (#95)
- Pixtral Large: —

| Benchmark | GPT-6 Luna | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1417 | — |

## Writing & Preference

- GPT-6 Luna: 58.4 (#115)
- Pixtral Large: 32.9 (#273)

| Benchmark | GPT-6 Luna | Pixtral Large |
|---|---|---|
| LMArena Text | 1392 | — |
| LMArena Creative Writing | 1357 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1400 | — |

## FAQ

### Is GPT-6 Luna better than Pixtral Large?

GPT-6 Luna is the stronger model overall, scoring 45.1 to 31.7 on the Noometry Index.

### Which is cheaper, GPT-6 Luna or Pixtral Large?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

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

### How many benchmarks do GPT-6 Luna and Pixtral Large share?

0 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Pixtral Large has 3.