# GPT-5.2 Pro vs Mistral Medium

> GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 36.0 on the Noometry Index. Mistral Medium costs 19× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-2-pro-vs-mistral-medium
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where GPT-5.2 Pro leads 64.8 to 27.2.
- Mistral Medium is cheaper at $1.50 / $7.50 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 262K.
- Mistral Medium has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.2 Pro | Mistral Medium |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 52.2 | 36.0 |
| Rank | 34 | 211 |
| Context | 400K | 262K |
| Input $/M | $21 | $1.50 |
| Output $/M | $168 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.2 Pro: —
- Mistral Medium: 33.8 (#241)

| Benchmark | GPT-5.2 Pro | Mistral Medium |
|---|---|---|
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| LMArena Coding | — | 1434 |
| ALE-Bench | — | 763.98 |

## Agentic & Tool Use

- GPT-5.2 Pro: —
- Mistral Medium: 28.1 (#84)

| Benchmark | GPT-5.2 Pro | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |

## Reasoning

- GPT-5.2 Pro: 51.8 (#31)
- Mistral Medium: 23.3 (#165)

| Benchmark | GPT-5.2 Pro | Mistral Medium |
|---|---|---|
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| Kagi LLM Benchmark | — | 50% |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | — | 0% |
| LMArena Hard Prompts | — | 1426 |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 155.41 | — |

## Math

- GPT-5.2 Pro: 64.8 (#23)
- Mistral Medium: 27.2 (#238)

| Benchmark | GPT-5.2 Pro | Mistral Medium |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| LMArena Math | — | 1409 |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
| FrontierMath Tier 4 (v1) | 31.3% | — |

## Knowledge

- GPT-5.2 Pro: —
- Mistral Medium: 24.9 (#260)

| Benchmark | GPT-5.2 Pro | Mistral Medium |
|---|---|---|
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
| LMArena Expert | — | 1408 |

## Multimodal

- GPT-5.2 Pro: —
- Mistral Medium: 34.6 (#82)

| Benchmark | GPT-5.2 Pro | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |

## Multilingual

- GPT-5.2 Pro: —
- Mistral Medium: 52.3 (#86)

| Benchmark | GPT-5.2 Pro | 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-5.2 Pro: —
- Mistral Medium: 73.9 (#111)

| Benchmark | GPT-5.2 Pro | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | — | 1398 |

## Long Context

- GPT-5.2 Pro: —
- Mistral Medium: 42.9 (#108)

| Benchmark | GPT-5.2 Pro | Mistral Medium |
|---|---|---|
| LMArena Longer Query | — | 1406 |

## Writing & Preference

- GPT-5.2 Pro: —
- Mistral Medium: 60.2 (#97)

| Benchmark | GPT-5.2 Pro | Mistral Medium |
|---|---|---|
| LMArena Text | — | 1424 |
| LMArena Creative Writing | — | 1391 |
| Short-Story Creative Writing | — | 77.3% |
| LMArena Multi-Turn | — | 1418 |

## FAQ

### Is GPT-5.2 Pro better than Mistral Medium?

GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 36.0 on the Noometry Index. Mistral Medium costs 19× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.

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

Mistral Medium is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; GPT-5.2 Pro lists at $21 and $168.

### Which has the bigger context window?

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

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

0 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Mistral Medium has 36.