# GPT-6 Luna vs Mistral Small

> GPT-6 Luna is the stronger model overall, scoring 45.1 to 33.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-luna-vs-mistral-small
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GPT-6 Luna scores higher in 9 categories and Mistral Small in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-6 Luna leads 54.7 to 33.5.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- GPT-6 Luna accepts more context: 1.05M tokens versus 256K.
- Mistral Small has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Luna | Mistral Small |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 45.1 | 33.1 |
| Rank | 65 | 238 |
| Context | 1.05M | 256K |
| Input $/M | $0.10 | $0.15 |
| Output $/M | $0.50 | $0.60 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Luna: 54.7 (#24)
- Mistral Small: 33.5 (#242)

| Benchmark | GPT-6 Luna | Mistral Small |
|---|---|---|
| LMArena Coding | 1448 | 1363 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
| SciCode | — | 26.5% |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |

## Agentic & Tool Use

- GPT-6 Luna: —
- Mistral Small: 27.9 (#87)

| Benchmark | GPT-6 Luna | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |

## Reasoning

- GPT-6 Luna: 31.7 (#68)
- Mistral Small: 19.3 (#238)

| Benchmark | GPT-6 Luna | Mistral Small |
|---|---|---|
| LMArena Hard Prompts | 1415 | 1336 |
| Kagi LLM Benchmark | — | 37.8% |
| NYT Connections (extended) | 68.7% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 44.8% |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| LiveBench | — | 44% |

## Math

- GPT-6 Luna: 35.6 (#140)
- Mistral Small: 15.4 (#287)

| Benchmark | GPT-6 Luna | Mistral Small |
|---|---|---|
| LMArena Math | 1396 | 1341 |
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |

## Knowledge

- GPT-6 Luna: 40.1 (#110)
- Mistral Small: 30.9 (#214)

| Benchmark | GPT-6 Luna | Mistral Small |
|---|---|---|
| LMArena Expert | 1458 | 1293 |
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| MMLU | — | 68.7% |

## Multimodal

- GPT-6 Luna: 42.0 (#27)
- Mistral Small: 32.9 (#91)

| Benchmark | GPT-6 Luna | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |
| Furniture Assembly | 44.2% | — |

## Multilingual

- GPT-6 Luna: 51.0 (#111)
- Mistral Small: 45.7 (#164)

| Benchmark | GPT-6 Luna | Mistral Small |
|---|---|---|
| LMArena Non-English | 1390 | 1315 |
| LMArena Chinese | 1425 | 1342 |
| LMArena Russian | 1392 | 1324 |
| LMArena Spanish | 1416 | 1346 |
| LMArena French | — | 1337 |
| LMArena German | — | 1341 |
| LMArena Japanese | — | 1275 |
| LMArena Korean | — | 1260 |

## Instruction Following

- GPT-6 Luna: 74.7 (#85)
- Mistral Small: 66.6 (#204)

| Benchmark | GPT-6 Luna | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1414 | 1310 |
| LiveBench Instruction Following | — | 63.7% |

## Long Context

- GPT-6 Luna: 43.3 (#95)
- Mistral Small: 40.4 (#151)

| Benchmark | GPT-6 Luna | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1417 | 1327 |

## Writing & Preference

- GPT-6 Luna: 58.4 (#115)
- Mistral Small: 52.6 (#165)

| Benchmark | GPT-6 Luna | Mistral Small |
|---|---|---|
| LMArena Text | 1392 | 1338 |
| LMArena Creative Writing | 1357 | 1304 |
| LMArena Multi-Turn | 1400 | 1344 |
| LiveBench Language | — | 30.5% |

## FAQ

### Is GPT-6 Luna better than Mistral Small?

GPT-6 Luna is the stronger model overall, scoring 45.1 to 33.1 on the Noometry Index.

### Which is cheaper, GPT-6 Luna or Mistral Small?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Mistral Small lists at $0.15 and $0.60.

### Is GPT-6 Luna or Mistral Small better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 256K.

### How many benchmarks do GPT-6 Luna and Mistral Small share?

13 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Mistral Small has 39.