# Gemini 3.8 Flash vs MiMo-V2.6-Flash

> Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 48.5 on the Noometry Index. MiMo-V2.6-Flash costs 8.6× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-8-flash-vs-mimo-v2-6-flash
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 9 categories and MiMo-V2.6-Flash in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 36.5.
- The biggest single-benchmark swing is ProofBench: 48% for Gemini 3.8 Flash and 63% for MiMo-V2.6-Flash.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.8 Flash.
- MiMo-V2.6-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.8 Flash | MiMo-V2.6-Flash |
|---|---|---|
| Provider | Google | Xiaomi |
| Noometry Index | 61.8 | 48.5 |
| Rank | 11 | 55 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.75 | $0.14 |
| Output $/M | $3.75 | $0.28 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.8 Flash: 59.2 (#15)
- MiMo-V2.6-Flash: 53.4 (#30)

| Benchmark | Gemini 3.8 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena WebDev | 1584 | 1637 |
| SciCode | 56.6% | 51.3% |
| LMArena Coding | 1510 | 1504 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| FrontierSWE | 19.6% | — |
| WeirdML | 84.8% | — |
| ALE-Bench | 1,270 | — |

## Agentic & Tool Use

- Gemini 3.8 Flash: 41.8 (#21)
- MiMo-V2.6-Flash: —

| Benchmark | Gemini 3.8 Flash | MiMo-V2.6-Flash |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Remote Labor Index | 5.8% | — |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |

## Reasoning

- Gemini 3.8 Flash: 76.9 (#5)
- MiMo-V2.6-Flash: 36.5 (#66)

| Benchmark | Gemini 3.8 Flash | MiMo-V2.6-Flash |
|---|---|---|
| CritPt | 18.3% | 12% |
| LMArena Hard Prompts | 1508 | 1482 |
| ARC-AGI-2 | 89.2% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98.5% | — |
| Chess Puzzles | 61% | — |
| Mystery Game Puzzles | 47% | — |
| DTBench | 95.7% | — |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
| Epoch Capabilities Index | 156.71 | — |

## Math

- Gemini 3.8 Flash: 65.3 (#28)
- MiMo-V2.6-Flash: 51.9 (#52)

| Benchmark | Gemini 3.8 Flash | MiMo-V2.6-Flash |
|---|---|---|
| ProofBench | 48% | 63% |
| LMArena Math | 1528 | 1468 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |

## Knowledge

- Gemini 3.8 Flash: 74.8 (#2)
- MiMo-V2.6-Flash: 42.2 (#99)

| Benchmark | Gemini 3.8 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1524 | 1501 |
| GPQA Diamond | 95.4% | — |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |

## Multimodal

- Gemini 3.8 Flash: 40.7 (#45)
- MiMo-V2.6-Flash: 40.5 (#47)

| Benchmark | Gemini 3.8 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | 1314 | 1259 |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |

## Multilingual

- Gemini 3.8 Flash: 58.0 (#5)
- MiMo-V2.6-Flash: 54.0 (#51)

| Benchmark | Gemini 3.8 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1491 | 1434 |
| LMArena Chinese | 1554 | 1511 |
| LMArena French | 1498 | 1475 |
| LMArena Russian | 1515 | 1409 |
| LMArena Spanish | 1485 | 1456 |
| LMArena German | 1493 | — |
| LMArena Japanese | 1502 | — |
| LMArena Korean | 1459 | — |

## Instruction Following

- Gemini 3.8 Flash: 78.0 (#13)
- MiMo-V2.6-Flash: 76.8 (#35)

| Benchmark | Gemini 3.8 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1490 | 1463 |

## Long Context

- Gemini 3.8 Flash: 46.3 (#24)
- MiMo-V2.6-Flash: 44.8 (#57)

| Benchmark | Gemini 3.8 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1508 | 1463 |

## Writing & Preference

- Gemini 3.8 Flash: 72.2 (#15)
- MiMo-V2.6-Flash: 63.1 (#67)

| Benchmark | Gemini 3.8 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1499 | 1455 |
| LMArena Creative Writing | 1492 | 1400 |
| LMArena Multi-Turn | 1501 | 1451 |
| EQ-Bench Creative Writing | 1748 | — |

## FAQ

### Is Gemini 3.8 Flash better than MiMo-V2.6-Flash?

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 48.5 on the Noometry Index. MiMo-V2.6-Flash costs 8.6× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.8 Flash or MiMo-V2.6-Flash?

MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Gemini 3.8 Flash lists at $0.75 and $3.75.

### Is Gemini 3.8 Flash or MiMo-V2.6-Flash better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 53.4 in the Noometry coding category.

### Which has the bigger context window?

Both accept 1.05M tokens.

### How many benchmarks do Gemini 3.8 Flash and MiMo-V2.6-Flash share?

19 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and MiMo-V2.6-Flash has 19.