# DeepSeek V3.2 vs MiMo-V2.5-Pro

> Side-by-side benchmark comparison for DeepSeek V3.2 and MiMo-V2.5-Pro across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/deepseek-v3-2-vs-mimo-v2-5-pro
- Last updated: September 4, 2026

- Shared sourced benchmarks: 2
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Evidence is too thin for a benchmark verdict: DeepSeek V3.2 and MiMo-V2.5-Pro share only 2 sourced benchmark rows.

## Summary

- Only 2 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- MiMo-V2.5-Pro has the lower published output-token price.
- MiMo-V2.5-Pro has the larger published context window at 1M.

## Model Snapshot

| Property | DeepSeek V3.2 | MiMo-V2.5-Pro |
|----------|----------|----------|
| Creator | DeepSeek | Xiaomi |
| Type | Open Weight | Proprietary |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 128K | 1M |
| Independent public score (not head-to-head) | 57.62 | 65.41 |
| Benchmarks Covered | 7 | 13 |
| Pricing (input/output) | $0.28 / $0.42 | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: Coming soon
- MiMo-V2.5-Pro public-lane score: 40.8 (Supported · #118/151)

| Benchmark | DeepSeek V3.2 | MiMo-V2.5-Pro | Winner |
|-----------|-----------|-----------|--------|
| Claw-Eval | 40.2% | 63.8% | MiMo-V2.5-Pro |
| VITA-Bench | 18.5% | Coming soon | Coming soon |
| Gert Labs | 29.57% | 62.70% | MiMo-V2.5-Pro |
| τ³-bench results | Coming soon | 72.9% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 68.4% | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 57.3% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 37.2 (Supported · #152/183)
- MiMo-V2.5-Pro public-lane score: 57.1 (Estimated · #36/183)

| Benchmark | DeepSeek V3.2 | MiMo-V2.5-Pro | Winner |
|-----------|-----------|-----------|--------|
| SWE-Rebench | 60.9% | Coming soon | Coming soon |
| React Native Evals | 71.5% | Coming soon | Coming soon |
| SWE-bench Pro | Coming soon | 57.2% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 68.4% | Coming soon |
| LiveCodeBench (Vals) | Coming soon | 81.4% | Coming soon |
| SWE-bench (Vals) | Coming soon | 74.0% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 51.7 (Unranked · 2 rankable rows)
- MiMo-V2.5-Pro public-lane score: 76.9 (Unranked · 2 rankable rows)

### Knowledge

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 49.7 (Estimated · #92/181)
- MiMo-V2.5-Pro public-lane score: 55.5 (Supported · #58/181)

| Benchmark | DeepSeek V3.2 | MiMo-V2.5-Pro | Winner |
|-----------|-----------|-----------|--------|
| HLE | Coming soon | 48% | Coming soon |
| HLE w/o tools | Coming soon | 34% | Coming soon |
| GPQA Diamond (Vals) | Coming soon | 82.6% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 84.6% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 58 (#71/120)
- MiMo-V2.5-Pro public-lane score: 93.5 (#6/120)

### Mathematics

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 40.2 (Unranked · 2 rankable rows)
- MiMo-V2.5-Pro public-lane score: Coming soon

| Benchmark | DeepSeek V3.2 | MiMo-V2.5-Pro | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 22.100% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 2.100% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between DeepSeek V3.2 and MiMo-V2.5-Pro?

Not yet. The models share only 2 sourced benchmark rows, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [DeepSeek V3.2 vs DeepSeek V3.2 (Thinking)](/compare/deepseek-v3-2-vs-deepseek-v3-2-thinking)
- [MiMo-V2.5-Pro vs DeepSeek V3.2 (Thinking)](/compare/deepseek-v3-2-thinking-vs-mimo-v2-5-pro)
- [DeepSeek V3.2 vs MiMo-V2.5](/compare/deepseek-v3-2-vs-mimo-v2-5)
- [MiMo-V2.5-Pro vs MiMo-V2.5](/compare/mimo-v2-5-vs-mimo-v2-5-pro)

## Explore More

- [DeepSeek V3.2 profile](/models/deepseek-v3-2)
- [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)