# GPT-6 Astra vs MiMo-V2.6-Pro

> GPT-6 Astra is the stronger model overall, scoring 70.3 to 46.7 on the Noometry Index. MiMo-V2.6-Pro costs 37× 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-v2-6-pro
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GPT-6 Astra scores higher in 6 categories and MiMo-V2.6-Pro in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Astra leads 93.4 to 37.9.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 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-V2.6-Pro has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Astra | MiMo-V2.6-Pro |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 70.3 | 46.7 |
| Rank | 1 | 55 |
| Context | 1.05M | 1.05M |
| Input $/M | $10 | $0.43 |
| Output $/M | $50 | $0.87 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Astra: 70.5 (#3)
- MiMo-V2.6-Pro: 53.2 (#27)

| Benchmark | GPT-6 Astra | MiMo-V2.6-Pro |
|---|---|---|
| LMArena WebDev | 1792 | 1618 |
| LMArena Coding | 1488 | 1538 |
| DeepSWE | 74.1% | — |
| FrontierCode | 53.3% | — |
| FrontierSWE | 65.5% | — |
| SciCode | 56.5% | — |
| WeirdML | 93.6% | — |
| MirrorCode | 46.7% | — |
| ALE-Bench | 2,951 | — |

## Agentic & Tool Use

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

| Benchmark | GPT-6 Astra | MiMo-V2.6-Pro |
|---|---|---|
| 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-V2.6-Pro: 30.4 (#76)

| Benchmark | GPT-6 Astra | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1464 | 1511 |
| ARC-AGI-2 | 95% | — |
| NYT Connections (extended) | 98.1% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| 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-V2.6-Pro: 37.9 (#91)

| Benchmark | GPT-6 Astra | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1463 | 1497 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 97.6% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 99% | — |
| FrontierMath Erdős | 2.9% | — |

## Knowledge

- GPT-6 Astra: 75.3 (#1)
- MiMo-V2.6-Pro: 43.0 (#85)

| Benchmark | GPT-6 Astra | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1486 | 1548 |
| 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-V2.6-Pro: 40.2 (#40)

| Benchmark | GPT-6 Astra | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | 1280 | 1265 |
| Blueprint-Bench 2 | 49.7% | — |
| Furniture Assembly | 80% | — |
| LMArena Document | 1468 | — |

## Multilingual

- GPT-6 Astra: 54.0 (#53)
- MiMo-V2.6-Pro: 57.0 (#15)

| Benchmark | GPT-6 Astra | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1431 | 1474 |
| LMArena Chinese | 1495 | 1532 |
| LMArena Russian | 1434 | 1481 |
| LMArena French | 1467 | — |
| LMArena Spanish | 1412 | — |

## Instruction Following

- GPT-6 Astra: 76.6 (#37)
- MiMo-V2.6-Pro: 78.2 (#10)

| Benchmark | GPT-6 Astra | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1454 | 1490 |

## Long Context

- GPT-6 Astra: 44.7 (#57)
- MiMo-V2.6-Pro: 46.0 (#26)

| Benchmark | GPT-6 Astra | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1460 | 1500 |

## Writing & Preference

- GPT-6 Astra: 75.7 (#7)
- MiMo-V2.6-Pro: 66.9 (#32)

| Benchmark | GPT-6 Astra | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1443 | 1491 |
| LMArena Creative Writing | 1423 | 1465 |
| LMArena Multi-Turn | 1457 | 1463 |
| EQ-Bench Creative Writing | 2173 | — |

## FAQ

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

GPT-6 Astra is the stronger model overall, scoring 70.3 to 46.7 on the Noometry Index. MiMo-V2.6-Pro costs 37× 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-V2.6-Pro?

MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GPT-6 Astra lists at $10 and $50.

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

GPT-6 Astra scores higher on coding benchmarks: 70.5 versus 53.2 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-V2.6-Pro share?

14 benchmarks have published results for both models. GPT-6 Astra has 51 scored results on Noometry and MiMo-V2.6-Pro has 14.