# Gemini 3.5 Flash vs MiMo-V2.5-Pro

> Side-by-side benchmark comparison for Gemini 3.5 Flash and MiMo-V2.5-Pro across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gemini-3-5-flash-vs-mimo-v2-5-pro
- Last updated: October 2, 2026

- Shared sourced benchmarks: 8
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Pick Gemini 3.5 Flash if you want the stronger benchmark profile. MiMo-V2.5-Pro only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- Gemini 3.5 Flash leads overall 63.95 to 52.65.
- The clearest category separation is in reasoning, where the averages are 62.8 for Gemini 3.5 Flash and 77.1 for MiMo-V2.5-Pro.
- The biggest single benchmark swing is Terminal-Bench 2.1 (Vals) in Agentic, with scores of 74.2% and 57.3%.
- MiMo-V2.5-Pro is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.

## Model Snapshot

| Property | Gemini 3.5 Flash | MiMo-V2.5-Pro |
|----------|----------|----------|
| Creator | Google | Xiaomi |
| Type | Proprietary | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 1M |
| Overall Score | 63.95 | 52.65 |
| Benchmarks Covered | 27 | 13 |
| Pricing (input/output) | $1.50 / $9.00 | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: Gemini 3.5 Flash
- Gemini 3.5 Flash public-lane score: 50.7 (Supported · #42/119)
- MiMo-V2.5-Pro public-lane score: 36.9 (Supported · #65/119)

| Benchmark | Gemini 3.5 Flash | MiMo-V2.5-Pro | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 76.2% | Coming soon | Coming soon |
| MCP Atlas | 83.6% | Coming soon | Coming soon |
| Toolathlon | 56.5% | Coming soon | Coming soon |
| OSWorld-Verified | 78.4% | Coming soon | Coming soon |
| Finance Agent v2 | 57.9% | Coming soon | Coming soon |
| Gert Labs | 61.85% | 62.70% | MiMo-V2.5-Pro |
| ResearchClawBench | 18.0% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 74.2% | 57.3% | Gemini 3.5 Flash |
| Claw-Eval | Coming soon | 63.8% | Coming soon |
| τ³-bench results | Coming soon | 72.9% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 68.4% | Coming soon |

### Coding

- Winner: Gemini 3.5 Flash
- Gemini 3.5 Flash public-lane score: 52.3 (Supported · #39/144)
- MiMo-V2.5-Pro public-lane score: 45.7 (Supported · #52/144)

| Benchmark | Gemini 3.5 Flash | MiMo-V2.5-Pro | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 76.2% | Coming soon | Coming soon |
| SWE-bench Pro | 55.1% | 57.2% | MiMo-V2.5-Pro |
| Vibe Code Bench | 48.68% | Coming soon | Coming soon |
| cursorBench31 | 49.8% | Coming soon | Coming soon |
| CursorBench 3.2 | 48.8% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 87.6% | 81.4% | Gemini 3.5 Flash |
| SWE-bench (Vals) | 78.8% | 74.0% | Gemini 3.5 Flash |
| Terminal-Bench 2.0 | Coming soon | 68.4% | Coming soon |

### Reasoning

- Winner: Not comparable
- Gemini 3.5 Flash public-lane score: 62.8 (#20/27)
- MiMo-V2.5-Pro public-lane score: 77.1 (Unranked · 2 rankable rows)

| Benchmark | Gemini 3.5 Flash | MiMo-V2.5-Pro | Winner |
|-----------|-----------|-----------|--------|
| MRCRv2 | 77.3% | Coming soon | Coming soon |
| MRCR 1M | 26.6% | Coming soon | Coming soon |
| ARC-AGI-2 | 72.1% | Coming soon | Coming soon |

### Multimodal & Grounded

- Winner: Not comparable
- Gemini 3.5 Flash public-lane score: 87.8 (#6/49)
- MiMo-V2.5-Pro public-lane score: Coming soon

| Benchmark | Gemini 3.5 Flash | MiMo-V2.5-Pro | Winner |
|-----------|-----------|-----------|--------|
| CharXiv | 84.2% | Coming soon | Coming soon |
| MMMU-Pro | 83.6% | Coming soon | Coming soon |
| Blueprint-Bench 2 | 33.6% | Coming soon | Coming soon |

### Knowledge

- Winner: Gemini 3.5 Flash
- Gemini 3.5 Flash public-lane score: 64 (Supported · #30/171)
- MiMo-V2.5-Pro public-lane score: 50.7 (Supported · #62/171)

| Benchmark | Gemini 3.5 Flash | MiMo-V2.5-Pro | Winner |
|-----------|-----------|-----------|--------|
| GPQA-D | 92.7% | Coming soon | Coming soon |
| HLE | 40.2% | 48% | MiMo-V2.5-Pro |
| GPQA Diamond (Vals) | 92.7% | 82.6% | Gemini 3.5 Flash |
| MMLU-Pro (Vals) | 89.5% | 84.6% | Gemini 3.5 Flash |
| HLE w/o tools | Coming soon | 34% | Coming soon |

### Instruction Following

- Winner: Directional only
- Gemini 3.5 Flash public-lane score: 84.1 (#43/125)
- MiMo-V2.5-Pro public-lane score: 92.4 (#6/125)

### Mathematics

- Winner: Not comparable
- Gemini 3.5 Flash public-lane score: 55.1 (Unranked · 2 rankable rows)
- MiMo-V2.5-Pro public-lane score: Coming soon

| Benchmark | Gemini 3.5 Flash | MiMo-V2.5-Pro | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 38.966% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 14.583% | Coming soon | Coming soon |

## FAQ

### Which is better overall, Gemini 3.5 Flash or MiMo-V2.5-Pro?

Gemini 3.5 Flash is ahead overall on BenchLM right now.

### Where is the biggest gap between Gemini 3.5 Flash and MiMo-V2.5-Pro?

The widest category gap is in reasoning, where the averages are 62.8 for Gemini 3.5 Flash and 77.1 for MiMo-V2.5-Pro.

### How many benchmarks does Gemini 3.5 Flash cover on BenchLM?

Gemini 3.5 Flash currently has 27 sourced benchmark scores on BenchLM.

### How many benchmarks does MiMo-V2.5-Pro cover on BenchLM?

MiMo-V2.5-Pro currently has 13 sourced benchmark scores on BenchLM.

## Related Comparisons

- [Gemini 3.5 Flash vs Gemini 3.5 Flash Cyber](/compare/gemini-3-5-flash-vs-gemini-3-5-flash-cyber)
- [MiMo-V2.5-Pro vs Gemini 3.5 Flash Cyber](/compare/gemini-3-5-flash-cyber-vs-mimo-v2-5-pro)
- [Gemini 3.5 Flash vs MiMo-V2.5](/compare/gemini-3-5-flash-vs-mimo-v2-5)
- [MiMo-V2.5-Pro vs MiMo-V2.5](/compare/mimo-v2-5-vs-mimo-v2-5-pro)

## Explore More

- [Gemini 3.5 Flash profile](/models/gemini-3-5-flash)
- [MiMo-V2.5-Pro profile](/models/mimo-v2-5-pro)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)