# GPT-5.3 Chat vs Pixtral Large

> GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 32.2 on the Noometry Index. Pixtral Large costs 1.6× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-3-chat-vs-pixtral-large
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5.3 Chat scores higher in 2 categories and Pixtral Large in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 32.9.
- Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- Pixtral Large has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.8 | 32.2 |
| Rank | 109 | 259 |
| Context | 128K | 128K |
| Input $/M | $1.75 | $2 |
| Output $/M | $14 | $6 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Chat: 41.4 (#124)
- Pixtral Large: —

| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Coding | 1408 | — |

## Reasoning

- GPT-5.3 Chat: 28.5 (#102)
- Pixtral Large: 21.7 (#218)

| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1399 | — |

## Math

- GPT-5.3 Chat: 38.2 (#142)
- Pixtral Large: —

| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Math | 1389 | — |

## Knowledge

- GPT-5.3 Chat: 38.8 (#140)
- Pixtral Large: —

| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Expert | 1397 | — |

## Multimodal

- GPT-5.3 Chat: —
- Pixtral Large: 30.6 (#111)

| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |

## Multilingual

- GPT-5.3 Chat: 50.3 (#124)
- Pixtral Large: —

| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1382 | — |
| LMArena Chinese | 1432 | — |
| LMArena French | 1397 | — |
| LMArena German | 1384 | — |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1346 | — |
| LMArena Russian | 1400 | — |
| LMArena Spanish | 1371 | — |

## Instruction Following

- GPT-5.3 Chat: 72.8 (#129)
- Pixtral Large: —

| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1378 | — |

## Long Context

- GPT-5.3 Chat: 42.6 (#120)
- Pixtral Large: —

| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1396 | — |

## Writing & Preference

- GPT-5.3 Chat: 63.1 (#68)
- Pixtral Large: 32.9 (#278)

| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1690 | 988 |
| LMArena Text | 1389 | — |
| LMArena Creative Writing | 1355 | — |
| LMArena Multi-Turn | 1412 | — |

## FAQ

### Is GPT-5.3 Chat better than Pixtral Large?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 32.2 on the Noometry Index. Pixtral Large costs 1.6× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.3 Chat or Pixtral Large?

Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do GPT-5.3 Chat and Pixtral Large share?

1 benchmark has published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Pixtral Large has 3.