# GPT-5-Codex vs Mistral Large 4

> Mistral Large 4 is the stronger model overall, scoring 43.1 to 37.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-codex-vs-mistral-large-4
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 22.5.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- Mistral Large 4 accepts more context: 1.05M tokens versus 400K.

## Snapshot

| | GPT-5-Codex | Mistral Large 4 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.9 | 43.1 |
| Rank | 192 | 99 |
| Context | 400K | 1.05M |
| Input $/M | $1.25 | $0.68 |
| Output $/M | $10 | $2.09 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5-Codex: 42.4 (#103)
- Mistral Large 4: 48.6 (#57)

| Benchmark | GPT-5-Codex | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | — | 1541 |
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1475 |

## Agentic & Tool Use

- GPT-5-Codex: 31.0 (#72)
- Mistral Large 4: —

| Benchmark | GPT-5-Codex | Mistral Large 4 |
|---|---|---|
| Terminal-Bench | 44.3% | — |

## Reasoning

- GPT-5-Codex: 30.9 (#83)
- Mistral Large 4: 22.5 (#192)

| Benchmark | GPT-5-Codex | Mistral Large 4 |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 27.4% |
| LMArena Hard Prompts | — | 1444 |

## Math

- GPT-5-Codex: —
- Mistral Large 4: 40.4 (#91)

| Benchmark | GPT-5-Codex | Mistral Large 4 |
|---|---|---|
| LMArena Math | — | 1488 |

## Knowledge

- GPT-5-Codex: —
- Mistral Large 4: 36.6 (#166)

| Benchmark | GPT-5-Codex | Mistral Large 4 |
|---|---|---|
| SimpleQA Verified | — | 20% |
| LMArena Expert | — | 1447 |

## Multilingual

- GPT-5-Codex: —
- Mistral Large 4: 52.6 (#82)

| Benchmark | GPT-5-Codex | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | — | 1415 |
| LMArena Chinese | — | 1491 |
| LMArena Russian | — | 1414 |

## Instruction Following

- GPT-5-Codex: —
- Mistral Large 4: 75.0 (#76)

| Benchmark | GPT-5-Codex | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | — | 1424 |

## Long Context

- GPT-5-Codex: —
- Mistral Large 4: 43.6 (#89)

| Benchmark | GPT-5-Codex | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | — | 1429 |

## Writing & Preference

- GPT-5-Codex: —
- Mistral Large 4: 60.4 (#97)

| Benchmark | GPT-5-Codex | Mistral Large 4 |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1361 |
| LMArena Multi-Turn | — | 1424 |

## FAQ

### Is GPT-5-Codex better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 37.9 on the Noometry Index.

### Which is cheaper, GPT-5-Codex or Mistral Large 4?

Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; GPT-5-Codex lists at $1.25 and $10.

### Is GPT-5-Codex or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 42.4 in the Noometry coding category.

### Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 400K.

### How many benchmarks do GPT-5-Codex and Mistral Large 4 share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Mistral Large 4 has 15.