# GPT-5.5 Instant vs Mistral Large

> GPT-5.5 Instant is the stronger model overall, scoring 42.5 to 31.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-5-instant-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. GPT-5.5 Instant scores higher in 8 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.5 Instant leads 62.0 to 40.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.1% for GPT-5.5 Instant and 8.5% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.5 | 31.6 |
| Rank | 99 | 258 |
| Context | — | 131K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.5 Instant: 43.7 (#73)
- Mistral Large: 33.8 (#240)

| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| SciCode | 48.6% | 36.2% |
| LMArena Coding | 1433 | 1277 |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- GPT-5.5 Instant: —
- Mistral Large: 28.4 (#83)

| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- GPT-5.5 Instant: 24.2 (#149)
- Mistral Large: 15.4 (#305)

| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1426 | 1257 |
| Epoch Capabilities Index | 142.48 | 128.52 |
| SimpleBench | — | 22.5% |
| Chess Puzzles | 12% | — |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |

## Math

- GPT-5.5 Instant: 26.1 (#241)
- Mistral Large: 17.1 (#285)

| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.1% | 8.5% |
| LMArena Math | 1420 | 1262 |
| FrontierMath (Tiers 1-3) | 26.3% | — |
| FrontierMath Tier 4 | 2.4% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- GPT-5.5 Instant: 48.9 (#68)
- Mistral Large: 30.0 (#224)

| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| GPQA Diamond | 82.5% | 51.3% |
| LMArena Expert | 1409 | 1232 |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |

## Multimodal

- GPT-5.5 Instant: 39.3 (#48)
- Mistral Large: —

| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| LMArena Vision | 1250 | — |
| LMArena Document | 1403 | — |

## Multilingual

- GPT-5.5 Instant: 53.0 (#76)
- Mistral Large: 40.1 (#214)

| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| LMArena Non-English | 1417 | 1237 |
| LMArena Chinese | 1457 | 1240 |
| LMArena French | 1428 | 1324 |
| LMArena German | 1410 | 1254 |
| LMArena Japanese | 1408 | 1187 |
| LMArena Korean | 1393 | 1202 |
| LMArena Russian | 1430 | 1257 |
| LMArena Spanish | 1430 | 1268 |

## Instruction Following

- GPT-5.5 Instant: 74.4 (#94)
- Mistral Large: 68.1 (#186)

| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1407 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- GPT-5.5 Instant: 43.4 (#92)
- Mistral Large: 38.3 (#194)

| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1422 | 1262 |

## Writing & Preference

- GPT-5.5 Instant: 62.0 (#81)
- Mistral Large: 40.9 (#237)

| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| LMArena Text | 1419 | 1266 |
| LMArena Creative Writing | 1420 | 1243 |
| LMArena Multi-Turn | 1434 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is GPT-5.5 Instant better than Mistral Large?

GPT-5.5 Instant is the stronger model overall, scoring 42.5 to 31.6 on the Noometry Index.

### Is GPT-5.5 Instant or Mistral Large better for coding?

GPT-5.5 Instant scores higher on coding benchmarks: 43.7 versus 33.8 in the Noometry coding category.

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

22 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Mistral Large has 51.