# DeepSeek V3.2 vs Mistral Medium 3.5 128B

> Side-by-side benchmark comparison for DeepSeek V3.2 and Mistral Medium 3.5 128B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/deepseek-v3-2-vs-mistral-medium-3-5-128b
- Last updated: September 10, 2026

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

## Quick Verdict

Evidence is too thin for a benchmark verdict: DeepSeek V3.2 and Mistral Medium 3.5 128B 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.
- DeepSeek V3.2 has the lower published output-token price.
- Mistral Medium 3.5 128B has the larger published context window at 256K.

## Model Snapshot

| Property | DeepSeek V3.2 | Mistral Medium 3.5 128B |
|----------|----------|----------|
| Creator | DeepSeek | Mistral |
| Type | Open Weight | Open Weight |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 128K | 256K |
| Independent public score (not head-to-head) | 56.88 | 30.13 |
| Benchmarks Covered | 7 | 7 |
| Pricing (input/output) | $0.28 / $0.42 | $1.50 / $7.50 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: Coming soon
- Mistral Medium 3.5 128B public-lane score: 21.9 (Supported · #150/152)

| Benchmark | DeepSeek V3.2 | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| Claw-Eval | 40.2% | Coming soon | Coming soon |
| VITA-Bench | 18.5% | Coming soon | Coming soon |
| Gert Labs | 29.57% | 39.10% | Mistral Medium 3.5 128B |
| τ³-bench results | Coming soon | 91.4% | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 39.0% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 50 (Estimated · #61/151)
- Mistral Medium 3.5 128B public-lane score: 36.9 (Estimated · #127/151)

| Benchmark | DeepSeek V3.2 | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| SWE-Rebench | 60.9% | Coming soon | Coming soon |
| React Native Evals | 71.5% | Coming soon | Coming soon |
| SWE-bench Verified | Coming soon | 77.6% | Coming soon |
| SWE-bench (Vals) | Coming soon | 66.4% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: Coming soon
- Mistral Medium 3.5 128B public-lane score: 55.6 (Unranked · 1 rankable row)

### Reasoning

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 52.4 (Unranked · 2 rankable rows)
- Mistral Medium 3.5 128B public-lane score: 68.6 (Unranked · 2 rankable rows)

### Knowledge

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 48.9 (Estimated · #88/183)
- Mistral Medium 3.5 128B public-lane score: 39 (Supported · #140/183)

| Benchmark | DeepSeek V3.2 | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | Coming soon | 34.8% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 75.3% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 58.3 (#73/123)
- Mistral Medium 3.5 128B public-lane score: 84 (#48/123)

### Mathematics

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 40.2 (Unranked · 2 rankable rows)
- Mistral Medium 3.5 128B public-lane score: Coming soon

| Benchmark | DeepSeek V3.2 | Mistral Medium 3.5 128B | 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 Mistral Medium 3.5 128B?

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 V3.2 vs DeepSeek V3.2 (Thinking)](/compare/deepseek-v3-2-vs-deepseek-v3-2-thinking)
- [Mistral Medium 3.5 128B vs DeepSeek V3.2 (Thinking)](/compare/deepseek-v3-2-thinking-vs-mistral-medium-3-5-128b)
- [DeepSeek V3.2 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-deepseek-v3-2)
- [Mistral Medium 3.5 128B vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-mistral-medium-3-5-128b)

## Explore More

- [DeepSeek V3.2 profile](/models/deepseek-v3-2)
- [Mistral Medium 3.5 128B profile](/models/mistral-medium-3-5-128b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)