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Model comparison

DeepSeek V4 Pro vs Qwen3.6 Plus

Data verified

Head-to-head evidence from 14 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

60.66/100
Margin
4.5pts
winning →
65.2/100
0 category wins4 category wins

Public leaderboard positions: DeepSeek V4 Pro #46 (Supported); Qwen3.6 Plus #30 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Pro and Qwen3.6 Plus share 14 comparable benchmark results. 4 of 8 categories are comparable. 9 results are unique to DeepSeek V4 Pro; 46 to Qwen3.6 Plus.

Updated July 23, 2026
Shared results
14
DeepSeek V4 Pro only
9
Qwen3.6 Plus only
46
Comparable categories
4 / 8

Pick Qwen3.6 Plus if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 5 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Qwen3.6 Plus is clearly ahead on the BenchAlign aggregate, 65.2 to 60.66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Qwen3.6 Plus's sharpest advantage is in mathematics, where it averages 60.5 against 31.7. The single biggest benchmark swing on the page is HMMT Feb 2026, 31.7% to 87.8%.

Qwen3.6 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.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for DeepSeek V4 Pro and Qwen3.6 Plus
CategoryDeepSeek V4 ProΔQwen3.6 Plus
MathDeepSeek V4 Pro31.7Margin 28.8Qwen3.6 Plus60.5
KnowledgeDeepSeek V4 Pro41.3Margin 15.8Qwen3.6 Plus57.1
CodingDeepSeek V4 Pro65.3Margin 5.0Qwen3.6 Plus70.3
AgenticDeepSeek V4 Pro59.1Margin 2.5Qwen3.6 Plus61.6
ReasoningDeepSeek V4 ProNot measuredMarginNo overlapQwen3.6 Plus62.0
MultilingualDeepSeek V4 ProNot measuredMarginNo overlapQwen3.6 Plus84.7
MultimodalDeepSeek V4 ProNot measuredMarginNo overlapQwen3.6 Plus79.8
Inst. FollowingDeepSeek V4 ProNot measuredMarginNo overlapQwen3.6 Plus82.3

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · DeepSeek V4 ProB · Qwen3.6 Plus
  1. HMMT Feb 2026

    Math
    Source ↗
    A 31.7%B 87.8%
    Winner: Qwen3.6 PlusΔ 56.1
    HMMT Feb 2026: DeepSeek V4 Pro scored 31.7%; Qwen3.6 Plus scored 87.8%. Qwen3.6 Plus wins this benchmark.
  2. HLE

    Knowledge
    Source ↗
    A 7.7%B 28.8%
    Winner: Qwen3.6 PlusΔ 21.1
    HLE: DeepSeek V4 Pro scored 7.7%; Qwen3.6 Plus scored 28.8%. Qwen3.6 Plus wins this benchmark.
  3. GPQA

    Knowledge
    Source ↗
    A 72.9%B 90.4%
    Winner: Qwen3.6 PlusΔ 17.5
    GPQA: DeepSeek V4 Pro scored 72.9%; Qwen3.6 Plus scored 90.4%. Qwen3.6 Plus wins this benchmark.
  4. MMLU-Pro

    Knowledge
    Source ↗
    A 82.9%B 88.5%
    Winner: Qwen3.6 PlusΔ 5.6
    MMLU-Pro: DeepSeek V4 Pro scored 82.9%; Qwen3.6 Plus scored 88.5%. Qwen3.6 Plus wins this benchmark.
  5. SWE-bench Verified

    Coding
    Source ↗
    A 73.6%B 78.8%
    Winner: Qwen3.6 PlusΔ 5.2
    SWE-bench Verified: DeepSeek V4 Pro scored 73.6%; Qwen3.6 Plus scored 78.8%. Qwen3.6 Plus wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V4 ProQwen3.6 PlusComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro$0.435 input / $0.87 outputQwen3.6 PlusNot availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 ProNot availableQwen3.6 PlusNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 ProNot availableQwen3.6 PlusNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro1MQwen3.6 Plus1MListed context windows are equal.

Benchmark Deep Dive

AgenticQwen3.6 Plus wins
BenchmarkDeepSeek V4 ProQwen3.6 PlusResult
Terminal-Bench 2.0Source 59.1%61.6%Qwen3.6 Plus leads
MCP AtlasSource 69.4%48.2%DeepSeek V4 Pro leads
ToolathlonSource 46.3%39.8%DeepSeek V4 Pro leads
Claw-EvalSource 59.8%58.8%DeepSeek V4 Pro leads
Gert LabsSource 50.28%50.60%Qwen3.6 Plus leads
ResearchClawBenchSource 17.1%18.0%Qwen3.6 Plus leads
QwenClawBenchSource 57.2%Not comparable
τ³-bench resultsSource 70.7%Not comparable
VITA-BenchSource 44.3%Not comparable
DeepPlanningSource 41.5%Not comparable
MCP-TasksSource 74.1%Not comparable
WideResearchSource 74.3%Not comparable
AA Agentic IndexSource 27.6%Not comparable
τ²-bench resultsSource 97.7%Not comparable
GDPval-AASource 31.8%Not comparable
GDPval-AASource 1135Not comparable
CodingQwen3.6 Plus wins
BenchmarkDeepSeek V4 ProQwen3.6 PlusResult
SWE-bench VerifiedSource 73.6%78.8%Qwen3.6 Plus leads
SWE-bench ProSource 52.1%56.6%Qwen3.6 Plus leads
SWE MultilingualSource 69.8%73.8%Qwen3.6 Plus leads
Terminal-Bench 2.0Source 59.1%Not comparable
LiveCodeBench v6Source 87.1%Not comparable
Vibe Code BenchSource 25.56%Not comparable
AA Coding IndexSource 54.5%Not comparable
AA-SciCodeSource 40.7%Not comparable
Reasoning
BenchmarkDeepSeek V4 ProQwen3.6 PlusResult
MRCR 1MSource 44.7%Not comparable
CorpusQA 1MSource 35.6%Not comparable
AI-NeedleSource 68.3%Not comparable
LongBench v2Source 62%Not comparable
AA-LCRSource 69.7%Not comparable
CritPtSource 2.9%Not comparable
KnowledgeQwen3.6 Plus wins
BenchmarkDeepSeek V4 ProQwen3.6 PlusResult
MMLU-ProSource 82.9%88.5%Qwen3.6 Plus leads
SimpleQASource 45%Not comparable
Chinese-SimpleQASource 75.8%Not comparable
GPQASource 72.9%90.4%Qwen3.6 Plus leads
GPQA-DSource 72.9%Not comparable
HLESource 7.7%28.8%Qwen3.6 Plus leads
SuperGPQASource 71.6%Not comparable
MMLU-ReduxSource 94.5%Not comparable
C-EvalSource 93.3%Not comparable
Artificial Analysis Intelligence IndexSource 39.6%Not comparable
AA-GPQA DiamondSource 88.2%Not comparable
AA-HLESource 25.7%Not comparable
AA-Omniscience IndexSource 2.7%Not comparable
AA-Omniscience AccuracySource 26.2%Not comparable
AA-Omniscience Hallucination RateSource 32.0%Not comparable
MathQwen3.6 Plus wins
BenchmarkDeepSeek V4 ProQwen3.6 PlusResult
HMMT Feb 2026Source 31.7%87.8%Qwen3.6 Plus leads
IMOAnswerBenchSource 35.3%Not comparable
ApexSource 0.4%Not comparable
Apex ShortlistSource 9.2%Not comparable
AIME26Source 95.3%Not comparable
HMMT Feb 2025Source 96.7%Not comparable
HMMT Nov 2025Source 94.6%Not comparable
MMAnswerBenchSource 83.8%Not comparable
FrontierMath v2 (Tiers 1-3)Source 26.207%Not comparable
FrontierMath v2 (Tier 4)Source 8.333%Not comparable
Multilingual
BenchmarkDeepSeek V4 ProQwen3.6 PlusResult
MMLU-ProXSource 84.7%Not comparable
NOVA-63Source 57.9%Not comparable
Multimodal
BenchmarkDeepSeek V4 ProQwen3.6 PlusResult
Design Arena WebsiteSource 12641249DeepSeek V4 Pro leads
MMMUSource 86.0%Not comparable
MMMU-ProSource 78.8%Not comparable
MathVisionSource 88.0%Not comparable
VideoMMMUSource 84.0%Not comparable
ScreenSpot ProSource 68.2%Not comparable
CharXivSource 81.5%Not comparable
V*Source 96.9%Not comparable
AA-MMMU-ProSource 78.0%Not comparable
Inst. Following
BenchmarkDeepSeek V4 ProQwen3.6 PlusResult
IFEvalSource 94.3%Not comparable
IFBenchSource 75.8%Not comparable
AA-IFBenchSource 75.2%Not comparable
Frequently Asked Questions (5)

Which is better, DeepSeek V4 Pro or Qwen3.6 Plus?

Qwen3.6 Plus is ahead on BenchLM's BenchAlign leaderboard, 65.2 to 60.66. The biggest single separator in this matchup is HMMT Feb 2026, where the scores are 31.7% and 87.8%.

Which is better for knowledge tasks, DeepSeek V4 Pro or Qwen3.6 Plus?

Qwen3.6 Plus has the edge for knowledge tasks in this comparison, averaging 57.1 versus 41.3. Inside this category, HLE is the benchmark that creates the most daylight between them.

Which is better for coding, DeepSeek V4 Pro or Qwen3.6 Plus?

Qwen3.6 Plus has the edge for coding in this comparison, averaging 70.3 versus 65.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

Which is better for math, DeepSeek V4 Pro or Qwen3.6 Plus?

Qwen3.6 Plus has the edge for math in this comparison, averaging 60.5 versus 31.7. Inside this category, HMMT Feb 2026 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, DeepSeek V4 Pro or Qwen3.6 Plus?

Qwen3.6 Plus has the edge for agentic tasks in this comparison, averaging 61.6 versus 59.1. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 23, 2026

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