# GPT-6 Astra vs MiMo-V2.5

> GPT-6 Astra is the stronger model overall, scoring 70.3 to 43.0 on the Noometry Index. MiMo-V2.5 costs 114× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-6-astra-vs-mimo-v2-5
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GPT-6 Astra scores higher in 9 categories and MiMo-V2.5 in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Astra leads 93.4 to 35.4.
- The biggest single-benchmark swing is ProofBench: 99% for GPT-6 Astra and 16% for MiMo-V2.5.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
- GPT-6 Astra accepts more context: 1.05M tokens versus 1.05M.
- MiMo-V2.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Astra | MiMo-V2.5 |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 70.3 | 43.0 |
| Rank | 1 | 89 |
| Context | 1.05M | 1.05M |
| Input $/M | $10 | $0.14 |
| Output $/M | $50 | $0.28 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Astra: 70.5 (#3)
- MiMo-V2.5: 43.6 (#75)

| Benchmark | GPT-6 Astra | MiMo-V2.5 |
|---|---|---|
| LMArena WebDev | 1792 | 1438 |
| SciCode | 56.5% | 43.1% |
| LMArena Coding | 1488 | 1469 |
| ALE-Bench | 2,951 | 513.95 |
| DeepSWE | 74.1% | — |
| FrontierCode | 53.3% | — |
| FrontierSWE | 65.5% | — |
| WeirdML | 93.6% | — |
| MirrorCode | 46.7% | — |

## Agentic & Tool Use

- GPT-6 Astra: 52.3 (#3)
- MiMo-V2.5: —

| Benchmark | GPT-6 Astra | MiMo-V2.5 |
|---|---|---|
| APEX-Agents | 64.7% | — |
| Remote Labor Index | 20.8% | — |
| BALROG | 68.3% | — |
| Vending-Bench 2 | 15,515 | — |

## Reasoning

- GPT-6 Astra: 85.1 (#1)
- MiMo-V2.5: 27.8 (#98)

| Benchmark | GPT-6 Astra | MiMo-V2.5 |
|---|---|---|
| CritPt | 31.7% | 3.7% |
| LMArena Hard Prompts | 1464 | 1450 |
| ARC-AGI-2 | 95% | — |
| NYT Connections (extended) | 98.1% | — |
| ARC-AGI-1 | 98.5% | — |
| Chess Puzzles | 72% | — |
| EBR-Bench | 76.2% | — |
| Mystery Game Puzzles | 84% | — |
| DTBench | 97.3% | — |
| LMCA | 64.4% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 166.6 | — |

## Math

- GPT-6 Astra: 93.4 (#1)
- MiMo-V2.5: 35.4 (#145)

| Benchmark | GPT-6 Astra | MiMo-V2.5 |
|---|---|---|
| ProofBench | 99% | 16% |
| LMArena Math | 1463 | 1436 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 97.6% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| FrontierMath Erdős | 2.9% | — |

## Knowledge

- GPT-6 Astra: 75.3 (#1)
- MiMo-V2.5: 40.2 (#109)

| Benchmark | GPT-6 Astra | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1486 | 1459 |
| GPQA Diamond | 95.8% | — |
| Humanity's Last Exam | 54.8% | — |
| SimpleQA Verified | 75.6% | — |
| Vectara Hallucination Rate | 8.7% | — |

## Multimodal

- GPT-6 Astra: 55.1 (#3)
- MiMo-V2.5: 39.0 (#53)

| Benchmark | GPT-6 Astra | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | 1280 | 1245 |
| Blueprint-Bench 2 | 49.7% | — |
| Furniture Assembly | 80% | — |
| LMArena Document | 1468 | — |

## Multilingual

- GPT-6 Astra: 54.0 (#53)
- MiMo-V2.5: 52.0 (#96)

| Benchmark | GPT-6 Astra | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1431 | 1404 |
| LMArena Chinese | 1495 | 1467 |
| LMArena French | 1467 | 1447 |
| LMArena Russian | 1434 | 1395 |
| LMArena Spanish | 1412 | 1412 |
| LMArena German | — | 1421 |
| LMArena Japanese | — | 1304 |
| LMArena Korean | — | 1363 |

## Instruction Following

- GPT-6 Astra: 76.6 (#37)
- MiMo-V2.5: 75.7 (#55)

| Benchmark | GPT-6 Astra | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1454 | 1433 |

## Long Context

- GPT-6 Astra: 44.7 (#57)
- MiMo-V2.5: 44.1 (#69)

| Benchmark | GPT-6 Astra | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1460 | 1444 |

## Writing & Preference

- GPT-6 Astra: 75.7 (#7)
- MiMo-V2.5: 61.8 (#82)

| Benchmark | GPT-6 Astra | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1443 | 1427 |
| LMArena Creative Writing | 1423 | 1392 |
| LMArena Multi-Turn | 1457 | 1445 |
| EQ-Bench Creative Writing | 2173 | — |

## FAQ

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

GPT-6 Astra is the stronger model overall, scoring 70.3 to 43.0 on the Noometry Index. MiMo-V2.5 costs 114× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

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

MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GPT-6 Astra lists at $10 and $50.

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

GPT-6 Astra scores higher on coding benchmarks: 70.5 versus 43.6 in the Noometry coding category.

### Which has the bigger context window?

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

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

20 benchmarks have published results for both models. GPT-6 Astra has 51 scored results on Noometry and MiMo-V2.5 has 23.