Model comparison
DeepSeek V4 Pro vs Qwen3.5 Plus
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro #46 (Supported); Qwen3.5 Plus #138 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro and Qwen3.5 Plus share 0 comparable benchmark results. 1 of 8 categories are comparable. 23 results are unique to DeepSeek V4 Pro; 4 to Qwen3.5 Plus.
Updated July 23, 2026- Shared results
- 0
- DeepSeek V4 Pro only
- 23
- Qwen3.5 Plus only
- 4
- Comparable categories
- 1 / 8
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. Qwen3.5 Plus only becomes the better choice if you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
DeepSeek V4 Pro is clearly ahead on the BenchAlign aggregate, 60.66 to 47.2. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro's sharpest advantage is in mathematics, where it averages 31.7 against 16.3.
Qwen3.5 Plus is also the more expensive model on tokens at $0.40 input / $2.40 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro. That is roughly 2.8x on output cost alone. Qwen3.5 Plus is the reasoning model in the pair, while DeepSeek V4 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro | Qwen3.5 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro$0.435 input / $0.87 output | Qwen3.5 Plus$0.4 input / $2.4 output | DeepSeek V4 Pro has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 ProNot available | Qwen3.5 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 ProNot available | Qwen3.5 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro1M | Qwen3.5 Plus1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | DeepSeek V4 Pro | Qwen3.5 Plus | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| MCP AtlasSource | 69.4% | — | Not comparable |
| ToolathlonSource | 46.3% | — | Not comparable |
| Claw-EvalSource | 59.8% | — | Not comparable |
| Gert LabsSource | 50.28% | — | Not comparable |
| ResearchClawBenchSource | 17.1% | — | Not comparable |
| JobBenchSource | — | 18.5% | Not comparable |
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
MathDeepSeek V4 Pro wins6 benchmarks
| Benchmark | DeepSeek V4 Pro | Qwen3.5 Plus | Result |
|---|---|---|---|
| HMMT Feb 2026Source | 31.7% | — | Not comparable |
| IMOAnswerBenchSource | 35.3% | — | Not comparable |
| ApexSource | 0.4% | — | Not comparable |
| Apex ShortlistSource | 9.2% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | — | 21.034% | Not comparable |
| FrontierMath v2 (Tier 4)Source | — | 2.083% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro | Qwen3.5 Plus | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | — | Not comparable |
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Pro or Qwen3.5 Plus?
DeepSeek V4 Pro is ahead on BenchLM's BenchAlign leaderboard, 60.66 to 47.2.
Which is better for math, DeepSeek V4 Pro or Qwen3.5 Plus?
DeepSeek V4 Pro has the edge for math in this comparison, averaging 31.7 versus 16.3. Qwen3.5 Plus stays close enough that the answer can still flip depending on your workload.
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