# GPT-6 Luna vs Mistral Nemo

> GPT-6 Luna is the stronger model overall, scoring 45.1 to 25.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-luna-vs-mistral-nemo
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in writing & preference, where GPT-6 Luna leads 58.4 to 28.6.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.10 / $0.50 for GPT-6 Luna.
- GPT-6 Luna accepts more context: 1.05M tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 45.1 | 25.9 |
| Rank | 65 | 332 |
| Context | 1.05M | 128K |
| Input $/M | $0.10 | $0.15 |
| Output $/M | $0.50 | $0.15 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Luna: 54.7 (#24)
- Mistral Nemo: —

| Benchmark | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
| LMArena Coding | 1448 | — |

## Agentic & Tool Use

- GPT-6 Luna: —
- Mistral Nemo: 23.3 (#118)

| Benchmark | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |

## Reasoning

- GPT-6 Luna: 31.7 (#68)
- Mistral Nemo: 19.9 (#230)

| Benchmark | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| NYT Connections (extended) | 68.7% | — |
| LMArena Hard Prompts | 1415 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.63 |
| PIQA | — | 83.5% |

## Math

- GPT-6 Luna: 35.6 (#140)
- Mistral Nemo: 23.5 (#263)

| Benchmark | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| LMArena Math | 1396 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |

## Knowledge

- GPT-6 Luna: 40.1 (#110)
- Mistral Nemo: 12.3 (#293)

| Benchmark | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1458 | — |
| BoolQ | — | 82.5% |

## Multimodal

- GPT-6 Luna: 42.0 (#27)
- Mistral Nemo: —

| Benchmark | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| Furniture Assembly | 44.2% | — |

## Multilingual

- GPT-6 Luna: 51.0 (#111)
- Mistral Nemo: —

| Benchmark | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1390 | — |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1392 | — |
| LMArena Spanish | 1416 | — |

## Instruction Following

- GPT-6 Luna: 74.7 (#85)
- Mistral Nemo: —

| Benchmark | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1414 | — |

## Long Context

- GPT-6 Luna: 43.3 (#95)
- Mistral Nemo: —

| Benchmark | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1417 | — |

## Writing & Preference

- GPT-6 Luna: 58.4 (#115)
- Mistral Nemo: 28.6 (#291)

| Benchmark | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| LMArena Text | 1392 | — |
| LMArena Creative Writing | 1357 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1400 | — |

## FAQ

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

GPT-6 Luna is the stronger model overall, scoring 45.1 to 25.9 on the Noometry Index.

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

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

### Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 128K.

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

0 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Mistral Nemo has 10.