# GPT-5.5 Pro vs Mistral Large 3

> GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 38.6 on the Noometry Index. Mistral Large 3 costs 180× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-5-pro-vs-mistral-large-3
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.6 to 14.6.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.5 Pro | Mistral Large 3 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 64.3 | 38.6 |
| Rank | 7 | 172 |
| Context | 1.05M | 262K |
| Input $/M | $30 | $0.25 |
| Output $/M | $180 | $0.75 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.5 Pro: —
- Mistral Large 3: 34.1 (#230)

| Benchmark | GPT-5.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | — | 1230 |
| LMArena Coding | — | 1447 |

## Reasoning

- GPT-5.5 Pro: 73.6 (#7)
- Mistral Large 3: 14.6 (#314)

| Benchmark | GPT-5.5 Pro | Mistral Large 3 |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| Thematic Generalization | — | 23% |
| LMArena Hard Prompts | — | 1429 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Epoch Capabilities Index | 162.45 | — |

## Math

- GPT-5.5 Pro: 83.8 (#8)
- Mistral Large 3: 36.0 (#131)

| Benchmark | GPT-5.5 Pro | Mistral Large 3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LMArena Math | — | 1415 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |

## Knowledge

- GPT-5.5 Pro: 64.2 (#17)
- Mistral Large 3: 35.5 (#173)

| Benchmark | GPT-5.5 Pro | Mistral Large 3 |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| Vectara Hallucination Rate | — | 14.5% |
| LMArena Expert | — | 1421 |

## Multimodal

- GPT-5.5 Pro: —
- Mistral Large 3: 37.6 (#65)

| Benchmark | GPT-5.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1222 |

## Multilingual

- GPT-5.5 Pro: —
- Mistral Large 3: 52.6 (#79)

| Benchmark | GPT-5.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | — | 1412 |
| LMArena Chinese | — | 1448 |
| LMArena French | — | 1456 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1412 |
| LMArena Spanish | — | 1437 |

## Instruction Following

- GPT-5.5 Pro: —
- Mistral Large 3: 74.1 (#104)

| Benchmark | GPT-5.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | — | 1402 |

## Long Context

- GPT-5.5 Pro: —
- Mistral Large 3: 43.1 (#102)

| Benchmark | GPT-5.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | — | 1413 |

## Writing & Preference

- GPT-5.5 Pro: —
- Mistral Large 3: 60.2 (#100)

| Benchmark | GPT-5.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1385 |
| EQ-Bench Creative Writing | — | 1412 |
| LMArena Multi-Turn | — | 1429 |

## FAQ

### Is GPT-5.5 Pro better than Mistral Large 3?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 38.6 on the Noometry Index. Mistral Large 3 costs 180× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.5 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-5.5 Pro lists at $30 and $180.

### Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 262K.

### How many benchmarks do GPT-5.5 Pro and Mistral Large 3 share?

0 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Mistral Large 3 has 24.