# GPT-5.2 Codex vs Mistral Medium 3.5

> GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 1.6× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-2-codex-vs-mistral-medium-3-5
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5.2 Codex scores higher in 1 category and Mistral Medium 3.5 in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 36.0.
- Mistral Medium 3.5 is cheaper at $1.50 / $7.50 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 Codex accepts more context: 400K tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.2 Codex | Mistral Medium 3.5 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.6 | 40.2 |
| Rank | 111 | 152 |
| Context | 400K | 262K |
| Input $/M | $1.75 | $1.50 |
| Output $/M | $14 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.2 Codex: 45.5 (#71)
- Mistral Medium 3.5: 36.0 (#213)

| Benchmark | GPT-5.2 Codex | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1339 | 1264 |
| SWE-bench Verified (bash only) | 72.8% | — |
| SWE-bench Multilingual | 66.3% | — |
| LMArena Coding | — | 1461 |
| ALE-Bench | 1,300 | — |

## Agentic & Tool Use

- GPT-5.2 Codex: 41.0 (#22)
- Mistral Medium 3.5: —

| Benchmark | GPT-5.2 Codex | Mistral Medium 3.5 |
|---|---|---|
| Terminal-Bench | 66.5% | — |

## Reasoning

- GPT-5.2 Codex: —
- Mistral Medium 3.5: 17.3 (#295)

| Benchmark | GPT-5.2 Codex | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| LMArena Hard Prompts | — | 1436 |
| Epoch Capabilities Index | — | 141.35 |

## Math

- GPT-5.2 Codex: —
- Mistral Medium 3.5: 39.1 (#113)

| Benchmark | GPT-5.2 Codex | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | — | 1431 |

## Knowledge

- GPT-5.2 Codex: —
- Mistral Medium 3.5: 40.0 (#126)

| Benchmark | GPT-5.2 Codex | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | — | 1432 |

## Multimodal

- GPT-5.2 Codex: —
- Mistral Medium 3.5: 38.3 (#65)

| Benchmark | GPT-5.2 Codex | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1223 |

## Multilingual

- GPT-5.2 Codex: —
- Mistral Medium 3.5: 51.9 (#100)

| Benchmark | GPT-5.2 Codex | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | — | 1404 |
| LMArena Chinese | — | 1442 |
| LMArena French | — | 1448 |
| LMArena German | — | 1451 |
| LMArena Korean | — | 1385 |
| LMArena Russian | — | 1395 |
| LMArena Spanish | — | 1409 |

## Instruction Following

- GPT-5.2 Codex: —
- Mistral Medium 3.5: 74.6 (#90)

| Benchmark | GPT-5.2 Codex | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | — | 1415 |

## Long Context

- GPT-5.2 Codex: —
- Mistral Medium 3.5: 43.2 (#103)

| Benchmark | GPT-5.2 Codex | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | — | 1415 |

## Writing & Preference

- GPT-5.2 Codex: —
- Mistral Medium 3.5: 58.5 (#117)

| Benchmark | GPT-5.2 Codex | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | — | 1421 |
| LMArena Creative Writing | — | 1374 |
| EQ-Bench 4 | — | 993 |
| LMArena Multi-Turn | — | 1423 |

## FAQ

### Is GPT-5.2 Codex better than Mistral Medium 3.5?

GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 1.6× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.2 Codex or Mistral Medium 3.5?

Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

### Is GPT-5.2 Codex or Mistral Medium 3.5 better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 36.0 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 262K.

### How many benchmarks do GPT-5.2 Codex and Mistral Medium 3.5 share?

1 benchmark has published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Mistral Medium 3.5 has 22.