# Codestral vs GPT-5.5 Instant

> GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 30.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codestral-vs-gpt-5-5-instant
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-5.5 Instant leads 44.3 to 27.3.

## Snapshot

| | Codestral | GPT-5.5 Instant |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 30.6 | 42.7 |
| Rank | 290 | 110 |
| Context | 256K | — |
| Input $/M | $0.30 | — |
| Output $/M | $0.90 | — |
| Weights | Proprietary | Proprietary |

## Coding

- Codestral: 27.3 (#321)
- GPT-5.5 Instant: 44.3 (#74)

| Benchmark | Codestral | GPT-5.5 Instant |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| SciCode | — | 48.6% |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1433 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |

## Reasoning

- Codestral: 19.8 (#251)
- GPT-5.5 Instant: 24.9 (#155)

| Benchmark | Codestral | GPT-5.5 Instant |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | — | 1426 |
| Epoch Capabilities Index | — | 142.52 |

## Math

- Codestral: —
- GPT-5.5 Instant: 26.5 (#259)

| Benchmark | Codestral | GPT-5.5 Instant |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 26.3% |
| FrontierMath Tier 4 | — | 2.4% |
| OTIS Mock AIME 2024-2025 | — | 68.1% |
| LMArena Math | — | 1420 |

## Knowledge

- Codestral: —
- GPT-5.5 Instant: 48.9 (#74)

| Benchmark | Codestral | GPT-5.5 Instant |
|---|---|---|
| GPQA Diamond | — | 82.5% |
| LMArena Expert | — | 1409 |

## Multimodal

- Codestral: —
- GPT-5.5 Instant: 40.0 (#52)

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

## Multilingual

- Codestral: —
- GPT-5.5 Instant: 52.8 (#80)

| Benchmark | Codestral | GPT-5.5 Instant |
|---|---|---|
| LMArena Non-English | — | 1417 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1428 |
| LMArena German | — | 1411 |
| LMArena Japanese | — | 1408 |
| LMArena Korean | — | 1392 |
| LMArena Russian | — | 1431 |
| LMArena Spanish | — | 1429 |

## Instruction Following

- Codestral: —
- GPT-5.5 Instant: 74.2 (#100)

| Benchmark | Codestral | GPT-5.5 Instant |
|---|---|---|
| LMArena Instruction Following | — | 1406 |

## Long Context

- Codestral: —
- GPT-5.5 Instant: 43.4 (#96)

| Benchmark | Codestral | GPT-5.5 Instant |
|---|---|---|
| LMArena Longer Query | — | 1422 |

## Writing & Preference

- Codestral: —
- GPT-5.5 Instant: 61.8 (#85)

| Benchmark | Codestral | GPT-5.5 Instant |
|---|---|---|
| LMArena Text | — | 1419 |
| LMArena Creative Writing | — | 1419 |
| LMArena Multi-Turn | — | 1433 |

## FAQ

### Is Codestral better than GPT-5.5 Instant?

GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 30.6 on the Noometry Index.

### Is Codestral or GPT-5.5 Instant better for coding?

GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 27.3 in the Noometry coding category.

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

0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and GPT-5.5 Instant has 27.