# Gemini 3.7 Flash vs MiMo-V2.5-Pro

> Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 45.2 on the Noometry Index. MiMo-V2.5-Pro costs 2.8× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-7-flash-vs-mimo-v2-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and MiMo-V2.5-Pro in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 26.8.
- The biggest single-benchmark swing is NYT Connections (extended): 94% for Gemini 3.7 Flash and 34.4% for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| Provider | Google | Xiaomi |
| Noometry Index | 59.8 | 45.2 |
| Rank | 14 | 74 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.75 | $0.43 |
| Output $/M | $3.75 | $0.87 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.7 Flash: 56.2 (#22)
- MiMo-V2.5-Pro: 47.4 (#60)

| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1592 | 1479 |
| SciCode | 59.8% | 50.2% |
| LMArena Coding | 1497 | 1503 |
| ALE-Bench | 904.3 | 899.8 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| FrontierSWE | 20.3% | — |

## Agentic & Tool Use

- Gemini 3.7 Flash: 42.1 (#19)
- MiMo-V2.5-Pro: —

| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |

## Reasoning

- Gemini 3.7 Flash: 70.0 (#15)
- MiMo-V2.5-Pro: 26.8 (#130)

| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| NYT Connections (extended) | 94% | 34.4% |
| CritPt | 14.3% | 4% |
| LMArena Hard Prompts | 1494 | 1488 |
| DTBench | 96.8% | 84.5% |
| LMCA | 50.4% | 29.5% |
| ARC-AGI-2 | 84.6% | — |
| ARC-AGI-1 | 95.5% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 37% | — |
| Epoch Capabilities Index | 157.27 | — |

## Math

- Gemini 3.7 Flash: 69.6 (#23)
- MiMo-V2.5-Pro: 40.0 (#96)

| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | 58% | 22% |
| LMArena Math | 1507 | 1481 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| OTIS Mock AIME 2024-2025 | 97.2% | — |

## Knowledge

- Gemini 3.7 Flash: 69.7 (#5)
- MiMo-V2.5-Pro: 42.2 (#98)

| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1508 | 1503 |
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |

## Multimodal

- Gemini 3.7 Flash: 37.3 (#73)
- MiMo-V2.5-Pro: —

| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1316 | — |
| Furniture Assembly | 26.7% | — |

## Multilingual

- Gemini 3.7 Flash: 57.6 (#7)
- MiMo-V2.5-Pro: 55.1 (#34)

| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1484 | 1449 |
| LMArena Chinese | 1548 | 1507 |
| LMArena French | 1505 | 1488 |
| LMArena German | 1498 | 1458 |
| LMArena Japanese | 1512 | 1412 |
| LMArena Korean | 1483 | 1437 |
| LMArena Russian | 1516 | 1450 |
| LMArena Spanish | 1503 | 1471 |

## Instruction Following

- Gemini 3.7 Flash: 77.7 (#15)
- MiMo-V2.5-Pro: 77.5 (#21)

| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1483 | 1477 |

## Long Context

- Gemini 3.7 Flash: 45.7 (#30)
- MiMo-V2.5-Pro: 45.4 (#37)

| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1492 | 1483 |

## Writing & Preference

- Gemini 3.7 Flash: 71.2 (#20)
- MiMo-V2.5-Pro: 65.3 (#49)

| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1486 | 1465 |
| LMArena Creative Writing | 1490 | 1440 |
| EQ-Bench Creative Writing | 1723 | 1493 |
| LMArena Multi-Turn | 1489 | 1477 |
| EQ-Bench 4 | — | 1208 |

## FAQ

### Is Gemini 3.7 Flash better than MiMo-V2.5-Pro?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 45.2 on the Noometry Index. MiMo-V2.5-Pro costs 2.8× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.7 Flash or MiMo-V2.5-Pro?

MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.

### Is Gemini 3.7 Flash or MiMo-V2.5-Pro better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 47.4 in the Noometry coding category.

### Which has the bigger context window?

Both accept 1.05M tokens.

### How many benchmarks do Gemini 3.7 Flash and MiMo-V2.5-Pro share?

26 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and MiMo-V2.5-Pro has 27.