# DeepSeek V3.2 vs Qwen3.5 Plus

> Side-by-side benchmark comparison for DeepSeek V3.2 and Qwen3.5 Plus across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/deepseek-v3-2-vs-qwen3-5-plus
- Last updated: September 28, 2026

- Shared sourced benchmarks: 2
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.7

## Quick Verdict

Evidence is too thin for a benchmark verdict: DeepSeek V3.2 and Qwen3.5 Plus 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.
- DeepSeek V3.2 has the lower published output-token price.
- Qwen3.5 Plus has the larger published context window at 1M.

## Model Snapshot

| Property | DeepSeek V3.2 | Qwen3.5 Plus |
|----------|----------|----------|
| Creator | DeepSeek | Alibaba |
| Type | Open Weight | Proprietary |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 128K | 1M |
| Independent public score (not head-to-head) | 50.19 | 48.92 |
| Benchmarks Covered | 7 | 4 |
| Pricing (input/output) | $0.28 / $0.42 | $0.40 / $2.40 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: Coming soon
- Qwen3.5 Plus public-lane score: Coming soon

| Benchmark | DeepSeek V3.2 | Qwen3.5 Plus | Winner |
|-----------|-----------|-----------|--------|
| Claw-Eval | 40.2% | Coming soon | Coming soon |
| VITA-Bench | 18.5% | Coming soon | Coming soon |
| Gert Labs | 29.57% | Coming soon | Coming soon |
| JobBench | Coming soon | 18.5% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 32 (Estimated · #89/142)
- Qwen3.5 Plus public-lane score: Coming soon

| Benchmark | DeepSeek V3.2 | Qwen3.5 Plus | Winner |
|-----------|-----------|-----------|--------|
| SWE-Rebench | 60.9% | Coming soon | Coming soon |
| React Native Evals | 71.5% | Coming soon | Coming soon |
| Vibe Code Bench | Coming soon | 15.74% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 53.6 (Unranked · 2 rankable rows)
- Qwen3.5 Plus public-lane score: Coming soon

### Knowledge

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 41.8 (Estimated · #91/168)
- Qwen3.5 Plus public-lane score: Coming soon

### Instruction Following

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 56.7 (#75/124)
- Qwen3.5 Plus public-lane score: Coming soon

### Mathematics

- Winner: Insufficient shared evidence
- DeepSeek V3.2 public-lane score: 40 (Unranked · 2 rankable rows)
- Qwen3.5 Plus public-lane score: 39.3 (Unranked · 2 rankable rows)

| Benchmark | DeepSeek V3.2 | Qwen3.5 Plus | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 22.100% | 21.034% | DeepSeek V3.2 |
| FrontierMath v2 (Tier 4) | 2.100% | 2.083% | DeepSeek V3.2 |

## FAQ

### Is there enough evidence to pick between DeepSeek V3.2 and Qwen3.5 Plus?

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)
- [Qwen3.5 Plus vs DeepSeek V3.2 (Thinking)](/compare/deepseek-v3-2-thinking-vs-qwen3-5-plus)
- [DeepSeek V3.2 vs GPT-6 Astra](/compare/deepseek-v3-2-vs-gpt-6-astra)
- [Qwen3.5 Plus vs GPT-6 Astra](/compare/gpt-6-astra-vs-qwen3-5-plus)

## Explore More

- [DeepSeek V3.2 profile](/models/deepseek-v3-2)
- [Qwen3.5 Plus profile](/models/qwen3-5-plus)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
