# GPT-5.4 nano vs Mistral Medium

> GPT-5.4 nano is the stronger model overall, scoring 41.9 to 36.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-4-nano-vs-mistral-medium
- Last updated: 2026-10-10
- Shared benchmarks: 30

## Summary

- They share 30 benchmarks with published results for both. GPT-5.4 nano scores higher in 5 categories and Mistral Medium in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 nano leads 41.8 to 24.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 87.8% for GPT-5.4 nano and 32.2% for Mistral Medium.
- GPT-5.4 nano is cheaper at $0.20 / $1.25 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- GPT-5.4 nano accepts more context: 400K tokens versus 262K.
- Mistral Medium has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.4 nano | Mistral Medium |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 41.9 | 36.0 |
| Rank | 111 | 211 |
| Context | 400K | 262K |
| Input $/M | $0.20 | $1.50 |
| Output $/M | $1.25 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.4 nano: 43.1 (#82)
- Mistral Medium: 33.8 (#241)

| Benchmark | GPT-5.4 nano | Mistral Medium |
|---|---|---|
| SciCode | 46.9% | 40.2% |
| WeirdML | 49.2% | 43.7% |
| LMArena Coding | 1404 | 1434 |
| ALE-Bench | 1,005 | 763.98 |
| FrontierCode | — | 8% |

## Agentic & Tool Use

- GPT-5.4 nano: —
- Mistral Medium: 28.1 (#84)

| Benchmark | GPT-5.4 nano | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |

## Reasoning

- GPT-5.4 nano: 23.8 (#159)
- Mistral Medium: 23.3 (#165)

| Benchmark | GPT-5.4 nano | Mistral Medium |
|---|---|---|
| Kagi LLM Benchmark | 39.7% | 50% |
| CritPt | 9.3% | 0% |
| LMArena Hard Prompts | 1380 | 1426 |
| DTBench | 80.3% | 75.5% |
| LMCA | 36.9% | 26.1% |
| ARC-AGI-2 | 5.7% | — |
| ARC-AGI-1 | 51.5% | — |
| Chess Puzzles | 30% | — |
| Mystery Game Puzzles | 9% | — |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 145.78 | — |
| ForecastBench | 57.3 | — |

## Math

- GPT-5.4 nano: 40.7 (#76)
- Mistral Medium: 27.2 (#238)

| Benchmark | GPT-5.4 nano | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 87.8% | 32.2% |
| ProofBench | 5% | 9% |
| LMArena Math | 1406 | 1409 |
| FrontierMath (Feb 2025 set) | 25.9% | 0.3% |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| MATH Level 5 | — | 81.6% |
| FrontierMath Tier 4 (v1) | 6.3% | — |

## Knowledge

- GPT-5.4 nano: 41.8 (#94)
- Mistral Medium: 24.9 (#260)

| Benchmark | GPT-5.4 nano | Mistral Medium |
|---|---|---|
| GPQA Diamond | 78.5% | 59.5% |
| Vectara Hallucination Rate | 3.1% | 22.7% |
| LMArena Expert | 1397 | 1408 |
| Humanity's Last Exam | — | 4.5% |
| SimpleQA Verified | 11.7% | — |

## Multimodal

- GPT-5.4 nano: 36.0 (#73)
- Mistral Medium: 34.6 (#82)

| Benchmark | GPT-5.4 nano | Mistral Medium |
|---|---|---|
| LMArena Vision | 1196 | 1172 |

## Multilingual

- GPT-5.4 nano: 48.8 (#136)
- Mistral Medium: 52.3 (#86)

| Benchmark | GPT-5.4 nano | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1359 | 1408 |
| LMArena Chinese | 1391 | 1448 |
| LMArena French | 1396 | 1460 |
| LMArena German | 1368 | 1433 |
| LMArena Japanese | 1342 | 1378 |
| LMArena Korean | 1321 | 1382 |
| LMArena Russian | 1363 | 1411 |
| LMArena Spanish | 1368 | 1433 |

## Instruction Following

- GPT-5.4 nano: 72.1 (#139)
- Mistral Medium: 73.9 (#111)

| Benchmark | GPT-5.4 nano | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1362 | 1398 |

## Long Context

- GPT-5.4 nano: 41.6 (#131)
- Mistral Medium: 42.9 (#108)

| Benchmark | GPT-5.4 nano | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1365 | 1406 |

## Writing & Preference

- GPT-5.4 nano: 55.9 (#137)
- Mistral Medium: 60.2 (#97)

| Benchmark | GPT-5.4 nano | Mistral Medium |
|---|---|---|
| LMArena Text | 1372 | 1424 |
| LMArena Creative Writing | 1313 | 1391 |
| LMArena Multi-Turn | 1382 | 1418 |
| Short-Story Creative Writing | — | 77.3% |

## FAQ

### Is GPT-5.4 nano better than Mistral Medium?

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 36.0 on the Noometry Index.

### Which is cheaper, GPT-5.4 nano or Mistral Medium?

GPT-5.4 nano is cheaper. It lists at $0.20 per million input tokens and $1.25 per million output tokens; Mistral Medium lists at $1.50 and $7.50.

### Is GPT-5.4 nano or Mistral Medium better for coding?

GPT-5.4 nano scores higher on coding benchmarks: 43.1 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.4 nano does, with 400K tokens against 262K.

### How many benchmarks do GPT-5.4 nano and Mistral Medium share?

30 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Mistral Medium has 36.