# GPT-6 Luna vs MiMo-V2.5-Pro

> GPT-6 Luna and MiMo-V2.5-Pro score almost the same on the Noometry Index (45.1 vs 44.8), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-6-luna-vs-mimo-v2-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. GPT-6 Luna scores higher in 2 categories and MiMo-V2.5-Pro in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-6 Luna leads 54.7 to 47.0.
- The biggest single-benchmark swing is NYT Connections (extended): 68.7% for GPT-6 Luna and 34.4% for MiMo-V2.5-Pro.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
- GPT-6 Luna accepts more context: 1.05M tokens versus 1.05M.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Luna | MiMo-V2.5-Pro |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 45.1 | 44.8 |
| Rank | 65 | 70 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.10 | $0.43 |
| Output $/M | $0.50 | $0.87 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Luna: 54.7 (#24)
- MiMo-V2.5-Pro: 47.0 (#58)

| Benchmark | GPT-6 Luna | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1583 | 1477 |
| LMArena Coding | 1448 | 1502 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| SciCode | — | 50.2% |
| ALE-Bench | — | 899.8 |

## Reasoning

- GPT-6 Luna: 31.7 (#68)
- MiMo-V2.5-Pro: 25.9 (#124)

| Benchmark | GPT-6 Luna | MiMo-V2.5-Pro |
|---|---|---|
| NYT Connections (extended) | 68.7% | 34.4% |
| LMArena Hard Prompts | 1415 | 1487 |
| CritPt | — | 4% |
| DTBench | — | 84.5% |
| LMCA | — | 29.5% |

## Math

- GPT-6 Luna: 35.6 (#140)
- MiMo-V2.5-Pro: 38.6 (#84)

| Benchmark | GPT-6 Luna | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Math | 1396 | 1480 |
| ProofBench | — | 22% |

## Knowledge

- GPT-6 Luna: 40.1 (#110)
- MiMo-V2.5-Pro: 41.5 (#100)

| Benchmark | GPT-6 Luna | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1458 | 1501 |

## Multimodal

- GPT-6 Luna: 42.0 (#27)
- MiMo-V2.5-Pro: —

| Benchmark | GPT-6 Luna | MiMo-V2.5-Pro |
|---|---|---|
| Furniture Assembly | 44.2% | — |

## Multilingual

- GPT-6 Luna: 51.0 (#111)
- MiMo-V2.5-Pro: 55.3 (#33)

| Benchmark | GPT-6 Luna | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1390 | 1449 |
| LMArena Chinese | 1425 | 1507 |
| LMArena Russian | 1392 | 1450 |
| LMArena Spanish | 1416 | 1470 |
| LMArena French | — | 1489 |
| LMArena German | — | 1455 |
| LMArena Japanese | — | 1418 |
| LMArena Korean | — | 1436 |

## Instruction Following

- GPT-6 Luna: 74.7 (#85)
- MiMo-V2.5-Pro: 77.6 (#21)

| Benchmark | GPT-6 Luna | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1414 | 1477 |

## Long Context

- GPT-6 Luna: 43.3 (#95)
- MiMo-V2.5-Pro: 45.4 (#38)

| Benchmark | GPT-6 Luna | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1417 | 1482 |

## Writing & Preference

- GPT-6 Luna: 58.4 (#115)
- MiMo-V2.5-Pro: 65.5 (#47)

| Benchmark | GPT-6 Luna | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1392 | 1465 |
| LMArena Creative Writing | 1357 | 1440 |
| LMArena Multi-Turn | 1400 | 1477 |
| EQ-Bench Creative Writing | — | 1493 |
| EQ-Bench 4 | — | 1208 |

## FAQ

### Is GPT-6 Luna better than MiMo-V2.5-Pro?

GPT-6 Luna and MiMo-V2.5-Pro score almost the same on the Noometry Index (45.1 vs 44.8), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-6 Luna or MiMo-V2.5-Pro?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.

### Is GPT-6 Luna or MiMo-V2.5-Pro better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 47.0 in the Noometry coding category.

### Which has the bigger context window?

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

### How many benchmarks do GPT-6 Luna and MiMo-V2.5-Pro share?

15 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and MiMo-V2.5-Pro has 27.