# GPT-5.1-Codex vs Pixtral Large

> GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-1-codex-vs-pixtral-large
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- GPT-5.1-Codex accepts more context: 400K tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.1-Codex | Pixtral Large |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 38.6 | 32.2 |
| Rank | 186 | 259 |
| Context | 400K | 128K |
| Input $/M | $1.25 | $2 |
| Output $/M | $10 | $6 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.1-Codex: 41.9 (#116)
- Pixtral Large: —

| Benchmark | GPT-5.1-Codex | Pixtral Large |
|---|---|---|
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1337 | — |
| ALE-Bench | 1,245 | — |

## Agentic & Tool Use

- GPT-5.1-Codex: 38.0 (#33)
- Pixtral Large: —

| Benchmark | GPT-5.1-Codex | Pixtral Large |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| METR Time Horizons | 70.8% | — |

## Reasoning

- GPT-5.1-Codex: —
- Pixtral Large: 21.7 (#218)

| Benchmark | GPT-5.1-Codex | Pixtral Large |
|---|---|---|
| EnigmaEval | — | 0.8% |

## Math

- GPT-5.1-Codex: 30.3 (#235)
- Pixtral Large: —

| Benchmark | GPT-5.1-Codex | Pixtral Large |
|---|---|---|
| ProofBench | 9% | — |

## Multimodal

- GPT-5.1-Codex: —
- Pixtral Large: 30.6 (#111)

| Benchmark | GPT-5.1-Codex | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |

## Writing & Preference

- GPT-5.1-Codex: —
- Pixtral Large: 32.9 (#278)

| Benchmark | GPT-5.1-Codex | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | — | 988 |

## FAQ

### Is GPT-5.1-Codex better than Pixtral Large?

GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 32.2 on the Noometry Index.

### Which is cheaper, GPT-5.1-Codex or Pixtral Large?

Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.

### Which has the bigger context window?

GPT-5.1-Codex does, with 400K tokens against 128K.

### How many benchmarks do GPT-5.1-Codex and Pixtral Large share?

0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Pixtral Large has 3.