# GPT-5 Pro vs Mistral Large 3

> GPT-5 Pro is the stronger model overall, scoring 46.4 to 39.1 on the Noometry Index. Mistral Large 3 costs 110× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-pro-vs-mistral-large-3
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5 Pro scores higher in 4 categories and Mistral Large 3 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5 Pro leads 38.9 to 15.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 76.8% for GPT-5 Pro and 50.9% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5 Pro | Mistral Large 3 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 46.4 | 39.1 |
| Rank | 64 | 176 |
| Context | 400K | 262K |
| Input $/M | $15 | $0.25 |
| Output $/M | $120 | $0.75 |
| Weights | Proprietary | Open |

## Coding

- GPT-5 Pro: 44.0 (#80)
- Mistral Large 3: 34.4 (#237)

| Benchmark | GPT-5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | — | 1230 |
| WeirdML | 60.4% | — |
| LMArena Coding | — | 1448 |
| AlgoTune | 1.31 | — |

## Reasoning

- GPT-5 Pro: 38.9 (#62)
- Mistral Large 3: 15.2 (#319)

| Benchmark | GPT-5 Pro | Mistral Large 3 |
|---|---|---|
| Kagi LLM Benchmark | 76.8% | 50.9% |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| NYT Connections (extended) | — | 7.5% |
| ARC-AGI-1 | 70.2% | — |
| EnigmaEval | 18.8% | — |
| Thematic Generalization | — | 23% |
| LMArena Hard Prompts | — | 1429 |
| Epoch Capabilities Index | 150.28 | — |

## Math

- GPT-5 Pro: 48.5 (#63)
- Mistral Large 3: 38.7 (#129)

| Benchmark | GPT-5 Pro | Mistral Large 3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| LMArena Math | — | 1414 |
| FrontierMath Tier 4 (v1) | 14.6% | — |

## Knowledge

- GPT-5 Pro: 56.7 (#42)
- Mistral Large 3: 36.0 (#177)

| Benchmark | GPT-5 Pro | Mistral Large 3 |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| Vectara Hallucination Rate | — | 14.5% |
| LMArena Expert | — | 1421 |

## Multimodal

- GPT-5 Pro: —
- Mistral Large 3: 38.2 (#66)

| Benchmark | GPT-5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |

## Multilingual

- GPT-5 Pro: —
- Mistral Large 3: 52.5 (#84)

| Benchmark | GPT-5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | — | 1413 |
| LMArena Chinese | — | 1447 |
| LMArena French | — | 1455 |
| LMArena German | — | 1437 |
| LMArena Japanese | — | 1394 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1440 |

## Instruction Following

- GPT-5 Pro: —
- Mistral Large 3: 74.0 (#108)

| Benchmark | GPT-5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | — | 1403 |

## Long Context

- GPT-5 Pro: —
- Mistral Large 3: 43.1 (#105)

| Benchmark | GPT-5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | — | 1413 |

## Writing & Preference

- GPT-5 Pro: —
- Mistral Large 3: 60.0 (#101)

| Benchmark | GPT-5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Text | — | 1428 |
| LMArena Creative Writing | — | 1386 |
| EQ-Bench Creative Writing | — | 1412 |
| LMArena Multi-Turn | — | 1429 |

## FAQ

### Is GPT-5 Pro better than Mistral Large 3?

GPT-5 Pro is the stronger model overall, scoring 46.4 to 39.1 on the Noometry Index. Mistral Large 3 costs 110× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

### Which is cheaper, GPT-5 Pro or Mistral Large 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GPT-5 Pro lists at $15 and $120.

### Is GPT-5 Pro or Mistral Large 3 better for coding?

GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 34.4 in the Noometry coding category.

### Which has the bigger context window?

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

### How many benchmarks do GPT-5 Pro and Mistral Large 3 share?

1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Mistral Large 3 has 24.