# DeepSeek-V2.5 vs Mistral Small 3.1

> Side-by-side benchmark comparison for DeepSeek-V2.5 and Mistral Small 3.1 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/deepseek-v2-5-vs-mistral-small-3-1
- Last updated: October 14, 2026

- Shared sourced benchmarks: 1
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: DeepSeek-V2.5 and Mistral Small 3.1 share only 1 sourced benchmark row.

## Summary

- Only 1 shared sourced benchmark row is available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.

## Model Snapshot

| Property | DeepSeek-V2.5 | Mistral Small 3.1 |
|----------|----------|----------|
| Creator | DeepSeek | Mistral |
| Type | Open Weight | Open Weight |
| Reasoning | Non-Reasoning | Non-Reasoning |
| Context | 128K | 128K |
| Independent public score (not head-to-head) | null | null |
| Benchmarks Covered | 1 | 7 |
| Pricing (input/output) | N/A | N/A |

## Category Breakdown

### Coding

- Winner: Insufficient shared evidence
- DeepSeek-V2.5 public-lane score: Coming soon
- Mistral Small 3.1 public-lane score: Coming soon

| Benchmark | DeepSeek-V2.5 | Mistral Small 3.1 | Winner |
|-----------|-----------|-----------|--------|
| HumanEval | 89% | 88.4% | DeepSeek-V2.5 |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- DeepSeek-V2.5 public-lane score: Coming soon
- Mistral Small 3.1 public-lane score: 18.8 (Unranked · 2 rankable rows)

| Benchmark | DeepSeek-V2.5 | Mistral Small 3.1 | Winner |
|-----------|-----------|-----------|--------|
| MMMU | Coming soon | 64.0% | Coming soon |
| MMMU-Pro | Coming soon | 49.3% | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- DeepSeek-V2.5 public-lane score: Coming soon
- Mistral Small 3.1 public-lane score: Coming soon

| Benchmark | DeepSeek-V2.5 | Mistral Small 3.1 | Winner |
|-----------|-----------|-----------|--------|
| MMLU | Coming soon | 80.6% | Coming soon |
| MMLU-Pro | Coming soon | 66.8% | Coming soon |
| GPQA | Coming soon | 46.0% | Coming soon |
| SimpleQA | Coming soon | 10.4% | Coming soon |

## FAQ

### Is there enough evidence to pick between DeepSeek-V2.5 and Mistral Small 3.1?

Not yet. The models share only 1 sourced benchmark row, 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-V2.5 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-deepseek-v2-5)
- [Mistral Small 3.1 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-mistral-small-3-1)
- [DeepSeek-V2.5 vs GPT-6.1 Sol](/compare/deepseek-v2-5-vs-gpt-6-1-sol)
- [Mistral Small 3.1 vs GPT-6.1 Sol](/compare/gpt-6-1-sol-vs-mistral-small-3-1)

## Explore More

- [DeepSeek-V2.5 profile](/models/deepseek-v2-5)
- [Mistral Small 3.1 profile](/models/mistral-small-3-1)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)