# Gemini 3.1 Pro Preview vs MiMo-V2.5-Pro

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 44.8 on the Noometry Index. MiMo-V2.5-Pro costs 8.3× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-1-pro-preview-vs-mimo-v2-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 6 categories and MiMo-V2.5-Pro in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 25.9.
- The biggest single-benchmark swing is NYT Connections (extended): 97.4% for Gemini 3.1 Pro Preview 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 $2 / $12 for Gemini 3.1 Pro Preview.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro |
|---|---|---|
| Provider | Google | Xiaomi |
| Noometry Index | 56.7 | 44.8 |
| Rank | 20 | 70 |
| Context | 1.05M | 1.05M |
| Input $/M | $2 | $0.43 |
| Output $/M | $12 | $0.87 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.1 Pro Preview: 42.7 (#88)
- MiMo-V2.5-Pro: 47.0 (#58)

| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1446 | 1477 |
| SciCode | 58.9% | 50.2% |
| LMArena Coding | 1483 | 1502 |
| ALE-Bench | 1,161 | 899.8 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| MirrorCode | 8.9% | — |
| AlgoTune | 2.02 | — |

## Agentic & Tool Use

- Gemini 3.1 Pro Preview: 37.7 (#33)
- MiMo-V2.5-Pro: —

| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |

## Reasoning

- Gemini 3.1 Pro Preview: 71.7 (#9)
- MiMo-V2.5-Pro: 25.9 (#124)

| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro |
|---|---|---|
| NYT Connections (extended) | 97.4% | 34.4% |
| CritPt | 17.7% | 4% |
| LMArena Hard Prompts | 1484 | 1487 |
| DTBench | 97.1% | 84.5% |
| LMCA | 53.8% | 29.5% |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| ARC-AGI-1 | 98% | — |
| Chess Puzzles | 55% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| Epoch Capabilities Index | 154.92 | — |
| ForecastBench | 59 | — |

## Math

- Gemini 3.1 Pro Preview: 61.8 (#28)
- MiMo-V2.5-Pro: 38.6 (#84)

| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | 26% | 22% |
| LMArena Math | 1485 | 1480 |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |

## Knowledge

- Gemini 3.1 Pro Preview: 71.8 (#3)
- MiMo-V2.5-Pro: 41.5 (#100)

| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1484 | 1501 |
| GPQA Diamond | 94.4% | — |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |

## Multimodal

- Gemini 3.1 Pro Preview: 38.1 (#60)
- MiMo-V2.5-Pro: —

| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |

## Multilingual

- Gemini 3.1 Pro Preview: 57.1 (#11)
- MiMo-V2.5-Pro: 55.3 (#33)

| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1475 | 1449 |
| LMArena Chinese | 1528 | 1507 |
| LMArena French | 1488 | 1489 |
| LMArena German | 1491 | 1455 |
| LMArena Japanese | 1494 | 1418 |
| LMArena Korean | 1458 | 1436 |
| LMArena Russian | 1496 | 1450 |
| LMArena Spanish | 1480 | 1470 |

## Instruction Following

- Gemini 3.1 Pro Preview: 77.1 (#31)
- MiMo-V2.5-Pro: 77.6 (#21)

| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1465 | 1477 |

## Long Context

- Gemini 3.1 Pro Preview: 47.3 (#17)
- MiMo-V2.5-Pro: 45.4 (#38)

| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1482 | 1482 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |

## Writing & Preference

- Gemini 3.1 Pro Preview: 66.3 (#36)
- MiMo-V2.5-Pro: 65.5 (#47)

| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1480 | 1465 |
| LMArena Creative Writing | 1482 | 1440 |
| EQ-Bench Creative Writing | 1491 | 1493 |
| EQ-Bench 4 | 1142 | 1208 |
| LMArena Multi-Turn | 1486 | 1477 |

## FAQ

### Is Gemini 3.1 Pro Preview better than MiMo-V2.5-Pro?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 44.8 on the Noometry Index. MiMo-V2.5-Pro costs 8.3× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.1 Pro Preview 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 3.1 Pro Preview lists at $2 and $12.

### Is Gemini 3.1 Pro Preview or MiMo-V2.5-Pro better for coding?

MiMo-V2.5-Pro scores higher on coding benchmarks: 47.0 versus 42.7 in the Noometry coding category.

### Which has the bigger context window?

Both accept 1.05M tokens.

### How many benchmarks do Gemini 3.1 Pro Preview and MiMo-V2.5-Pro share?

27 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and MiMo-V2.5-Pro has 27.