# DeepSeek V3.2 vs MiMo-V2.5

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

- Canonical page: https://benchlm.ai/compare/deepseek-v3-2-vs-mimo-v2-5
- 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 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 has the lower published output-token price.
- MiMo-V2.5 has the larger published context window at 1M.

## Model Snapshot

| Property | DeepSeek V3.2 | MiMo-V2.5 |
|----------|----------|----------|
| Creator | DeepSeek | Xiaomi |
| Type | Open Weight | Proprietary |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 128K | 1M |
| Independent public score (not head-to-head) | 57.62 | 60.72 |
| Benchmarks Covered | 7 | 15 |
| 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 public-lane score: 51.1 (Estimated · #58/151)

| Benchmark | DeepSeek V3.2 | MiMo-V2.5 | Winner |
|-----------|-----------|-----------|--------|
| Claw-Eval | 40.2% | 62.3% | MiMo-V2.5 |
| VITA-Bench | 18.5% | Coming soon | Coming soon |
| Gert Labs | 29.57% | 46.89% | MiMo-V2.5 |
| MM-ClawBench | Coming soon | 23.8% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 65.8% | Coming soon |
| ResearchClawBench | Coming soon | 16.9% | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 60.7% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 37.2 (Supported · #152/183)
- MiMo-V2.5 public-lane score: 54.8 (Estimated · #45/183)

| Benchmark | DeepSeek V3.2 | MiMo-V2.5 | Winner |
|-----------|-----------|-----------|--------|
| SWE-Rebench | 60.9% | Coming soon | Coming soon |
| React Native Evals | 71.5% | Coming soon | Coming soon |
| SWE-bench Pro | Coming soon | 56.1% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 65.8% | Coming soon |
| LiveCodeBench (Vals) | Coming soon | 81.5% | Coming soon |
| SWE-bench (Vals) | Coming soon | 71.0% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: Coming soon
- MiMo-V2.5 public-lane score: 58.5 (#29/48)

| Benchmark | DeepSeek V3.2 | MiMo-V2.5 | Winner |
|-----------|-----------|-----------|--------|
| Video-MME (with subtitle) | Coming soon | 87.7% | Coming soon |
| CharXiv | Coming soon | 81% | Coming soon |
| MMMU-Pro | Coming soon | 77.9% | Coming soon |

### Reasoning

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

### Knowledge

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 49.7 (Estimated · #92/181)
- MiMo-V2.5 public-lane score: 53.8 (Estimated · #65/181)

| Benchmark | DeepSeek V3.2 | MiMo-V2.5 | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | Coming soon | 81.6% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 82.9% | Coming soon |

### Instruction Following

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

### Mathematics

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

| Benchmark | DeepSeek V3.2 | MiMo-V2.5 | 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?

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

## Explore More

- [DeepSeek V3.2 profile](/models/deepseek-v3-2)
- [MiMo-V2.5 profile](/models/mimo-v2-5)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)