# GPT-5-Codex vs Mistral Medium

> GPT-5-Codex is the stronger model overall, scoring 37.3 to 36.0 on the Noometry Index.

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

## Summary

- They share 2 benchmarks with published results for both. GPT-5-Codex scores higher in 3 categories and Mistral Medium in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-5-Codex leads 41.9 to 33.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for GPT-5-Codex and 50% for Mistral Medium.
- Mistral Medium is cheaper at $1.50 / $7.50 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 262K.
- Mistral Medium has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5-Codex | Mistral Medium |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.3 | 36.0 |
| Rank | 190 | 211 |
| Context | 400K | 262K |
| Input $/M | $1.25 | $1.50 |
| Output $/M | $10 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- GPT-5-Codex: 41.9 (#100)
- Mistral Medium: 33.8 (#241)

| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| WeirdML | 54.5% | 43.7% |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| LMArena Coding | — | 1434 |
| ALE-Bench | — | 763.98 |

## Agentic & Tool Use

- GPT-5-Codex: 30.8 (#66)
- Mistral Medium: 28.1 (#84)

| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| Terminal-Bench | 44.3% | — |
| Berkeley Function Calling Leaderboard | — | 37.7% |

## Reasoning

- GPT-5-Codex: 30.0 (#80)
- Mistral Medium: 23.3 (#165)

| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 50% |
| CritPt | — | 0% |
| LMArena Hard Prompts | — | 1426 |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |

## Math

- GPT-5-Codex: —
- Mistral Medium: 27.2 (#238)

| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| LMArena Math | — | 1409 |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- GPT-5-Codex: —
- Mistral Medium: 24.9 (#260)

| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
| LMArena Expert | — | 1408 |

## Multimodal

- GPT-5-Codex: —
- Mistral Medium: 34.6 (#82)

| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |

## Multilingual

- GPT-5-Codex: —
- Mistral Medium: 52.3 (#86)

| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| LMArena Non-English | — | 1408 |
| LMArena Chinese | — | 1448 |
| LMArena French | — | 1460 |
| LMArena German | — | 1433 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1382 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1433 |

## Instruction Following

- GPT-5-Codex: —
- Mistral Medium: 73.9 (#111)

| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | — | 1398 |

## Long Context

- GPT-5-Codex: —
- Mistral Medium: 42.9 (#108)

| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| LMArena Longer Query | — | 1406 |

## Writing & Preference

- GPT-5-Codex: —
- Mistral Medium: 60.2 (#97)

| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| LMArena Text | — | 1424 |
| LMArena Creative Writing | — | 1391 |
| Short-Story Creative Writing | — | 77.3% |
| LMArena Multi-Turn | — | 1418 |

## FAQ

### Is GPT-5-Codex better than Mistral Medium?

GPT-5-Codex is the stronger model overall, scoring 37.3 to 36.0 on the Noometry Index.

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

Mistral Medium is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; GPT-5-Codex lists at $1.25 and $10.

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

GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

GPT-5-Codex does, with 400K tokens against 262K.

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

2 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Mistral Medium has 36.