# GPT-5.3 Codex vs Mistral Small 3.2

> GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 36× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-3-codex-vs-mistral-small-3-2
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Mistral Small 3.2 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 45.8 | 31.2 |
| Rank | 69 | 280 |
| Context | 400K | 256K |
| Input $/M | $1.75 | $0.0938 |
| Output $/M | $14 | $0.25 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.6 (#56)
- Mistral Small 3.2: —

| Benchmark | GPT-5.3 Codex | Mistral Small 3.2 |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1409 | — |
| WeirdML | 79.3% | — |
| ALE-Bench | 1,655 | — |

## Agentic & Tool Use

- GPT-5.3 Codex: 48.0 (#9)
- Mistral Small 3.2: —

| Benchmark | GPT-5.3 Codex | Mistral Small 3.2 |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Mistral Small 3.2: 18.1 (#287)

| Benchmark | GPT-5.3 Codex | Mistral Small 3.2 |
|---|---|---|
| Epoch Capabilities Index | 156.77 | 131.74 |
| Kagi LLM Benchmark | — | 40.4% |
| Chess Puzzles | — | 1% |

## Math

- GPT-5.3 Codex: —
- Mistral Small 3.2: 26.3 (#260)

| Benchmark | GPT-5.3 Codex | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |

## Knowledge

- GPT-5.3 Codex: —
- Mistral Small 3.2: 26.7 (#256)

| Benchmark | GPT-5.3 Codex | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |

## Writing & Preference

- GPT-5.3 Codex: —
- Mistral Small 3.2: 45.0 (#224)

| Benchmark | GPT-5.3 Codex | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | — | 1255 |

## FAQ

### Is GPT-5.3 Codex better than Mistral Small 3.2?

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 36× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.3 Codex or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

### Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 256K.

### How many benchmarks do GPT-5.3 Codex and Mistral Small 3.2 share?

1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Mistral Small 3.2 has 6.