# GPT-6 Astra vs MiMo-V2-Flash

> GPT-6 Astra is the stronger model overall, scoring 70.3 to 40.8 on the Noometry Index. MiMo-V2-Flash 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-flash
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GPT-6 Astra scores higher in 8 categories and MiMo-V2-Flash in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 24.1.
- The biggest single-benchmark swing is CritPt: 31.7% for GPT-6 Astra and 0% for MiMo-V2-Flash.
- MiMo-V2-Flash 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 262K.
- MiMo-V2-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Astra | MiMo-V2-Flash |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 70.3 | 40.8 |
| Rank | 1 | 137 |
| Context | 1.05M | 262K |
| Input $/M | $10 | $0.14 |
| Output $/M | $50 | $0.28 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Astra: 70.5 (#3)
- MiMo-V2-Flash: 35.8 (#205)

| Benchmark | GPT-6 Astra | MiMo-V2-Flash |
|---|---|---|
| LMArena WebDev | 1792 | 1330 |
| SciCode | 56.5% | 25.9% |
| LMArena Coding | 1488 | 1443 |
| ALE-Bench | 2,951 | 737.95 |
| 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-Flash: —

| Benchmark | GPT-6 Astra | MiMo-V2-Flash |
|---|---|---|
| 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-Flash: 24.1 (#155)

| Benchmark | GPT-6 Astra | MiMo-V2-Flash |
|---|---|---|
| CritPt | 31.7% | 0% |
| LMArena Hard Prompts | 1464 | 1420 |
| 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-Flash: 35.6 (#141)

| Benchmark | GPT-6 Astra | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1463 | 1396 |
| 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-Flash: 39.1 (#126)

| Benchmark | GPT-6 Astra | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1486 | 1425 |
| 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-Flash: —

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

## Multilingual

- GPT-6 Astra: 54.0 (#53)
- MiMo-V2-Flash: 51.1 (#109)

| Benchmark | GPT-6 Astra | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1431 | 1391 |
| LMArena Chinese | 1495 | 1463 |
| LMArena French | 1467 | 1429 |
| LMArena Russian | 1434 | 1387 |
| LMArena Spanish | 1412 | 1420 |
| LMArena German | — | 1395 |
| LMArena Japanese | — | 1324 |
| LMArena Korean | — | 1358 |

## Instruction Following

- GPT-6 Astra: 76.6 (#37)
- MiMo-V2-Flash: 73.7 (#115)

| Benchmark | GPT-6 Astra | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1454 | 1392 |

## Long Context

- GPT-6 Astra: 44.7 (#57)
- MiMo-V2-Flash: 43.0 (#106)

| Benchmark | GPT-6 Astra | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1460 | 1409 |

## Writing & Preference

- GPT-6 Astra: 75.7 (#7)
- MiMo-V2-Flash: 59.9 (#101)

| Benchmark | GPT-6 Astra | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1443 | 1411 |
| LMArena Creative Writing | 1423 | 1375 |
| LMArena Multi-Turn | 1457 | 1404 |
| EQ-Bench Creative Writing | 2173 | — |

## FAQ

### Is GPT-6 Astra better than MiMo-V2-Flash?

GPT-6 Astra is the stronger model overall, scoring 70.3 to 40.8 on the Noometry Index. MiMo-V2-Flash 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-Flash?

MiMo-V2-Flash 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-Flash better for coding?

GPT-6 Astra scores higher on coding benchmarks: 70.5 versus 35.8 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Astra does, with 1.05M tokens against 262K.

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

18 benchmarks have published results for both models. GPT-6 Astra has 51 scored results on Noometry and MiMo-V2-Flash has 21.