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Model comparison

DeepSeek V3.1 vs Qwen3.5 397B

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

53.64/100
Margin
3.4pts
winning →
57.01/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V3.1 #95 (Supported); Qwen3.5 397B #71 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.1 and Qwen3.5 397B share 11 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to DeepSeek V3.1; 44 to Qwen3.5 397B.

Updated July 20, 2026
Shared results
11
DeepSeek V3.1 only
1
Qwen3.5 397B only
44
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.1 and Qwen3.5 397B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Qwen3.5 397B is priced at $0.60 input / $3.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek V3.1.

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 V3.1 and Qwen3.5 397B
CategoryDeepSeek V3.1ΔQwen3.5 397B
AgenticDeepSeek V3.1Not measuredMarginNo overlapQwen3.5 397B56.5
CodingDeepSeek V3.1Not measuredMarginNo overlapQwen3.5 397B66.5
ReasoningDeepSeek V3.1Not measuredMarginNo overlapQwen3.5 397B63.2
KnowledgeDeepSeek V3.1Not measuredMarginNo overlapQwen3.5 397B56.6
MathDeepSeek V3.1Not measuredMarginNo overlapQwen3.5 397B90.6
MultilingualDeepSeek V3.1Not measuredMarginNo overlapQwen3.5 397B84.7
MultimodalDeepSeek V3.1Not measuredMarginNo overlapQwen3.5 397B79.6
Inst. FollowingDeepSeek V3.1Not measuredMarginNo overlapQwen3.5 397B92.6

Operational comparison

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

MetricDeepSeek V3.1Qwen3.5 397BComparison
Input / output priceUSD per 1M tokensDeepSeek V3.1$0 input / $0 outputQwen3.5 397B$0.6 input / $3.6 outputDeepSeek V3.1 has the lower combined listed price.
Generation speedtokens per secondDeepSeek V3.1Not availableQwen3.5 397B96 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.1Not availableQwen3.5 397B2.44 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.1128KQwen3.5 397B128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.1Qwen3.5 397BResult
τ²-bench resultsSource 34.8%95.6%Qwen3.5 397B leads
Terminal-Bench 2.0Source 52.5%Not comparable
BrowseCompSource 62%Not comparable
Claw-EvalSource 56.8%Not comparable
QwenClawBenchSource 51.8%Not comparable
τ³-bench resultsSource 68.4%Not comparable
VITA-BenchSource 43.7%Not comparable
DeepPlanningSource 37.6%Not comparable
ToolathlonSource 36.3%Not comparable
MCP AtlasSource 46.1%Not comparable
MCP-TasksSource 74.2%Not comparable
WideResearchSource 74.0%Not comparable
Gert LabsSource 46.76%Not comparable
ResearchClawBenchSource 14.2%Not comparable
AA Agentic IndexSource 19.9%Not comparable
APEX-Agents-AASource 15.3%Not comparable
GDPval-AASource 23.1%Not comparable
GDPval-AASource 962Not comparable
Coding
BenchmarkDeepSeek V3.1Qwen3.5 397BResult
AA-SciCodeSource 36.7%42.0%Qwen3.5 397B leads
SWE-bench VerifiedSource 76.2%Not comparable
LiveCodeBench v6Source 83.6%Not comparable
SWE-bench ProSource 50.9%Not comparable
AA Coding IndexSource 48.2%Not comparable
Reasoning
BenchmarkDeepSeek V3.1Qwen3.5 397BResult
AA-LCRSource 45.0%65.7%Qwen3.5 397B leads
CritPtSource 0.0%1.7%Qwen3.5 397B leads
LongBench v2Source 63.2%Not comparable
AI-NeedleSource 68.7%Not comparable
Knowledge
BenchmarkDeepSeek V3.1Qwen3.5 397BResult
Artificial Analysis Intelligence IndexSource 21.1%33.7%Qwen3.5 397B leads
AA-GPQA DiamondSource 73.5%89.3%Qwen3.5 397B leads
AA-HLESource 6.3%27.3%Qwen3.5 397B leads
AA-Omniscience IndexSource -41.1%-29.8%Qwen3.5 397B leads
AA-Omniscience AccuracySource 23.1%31.4%Qwen3.5 397B leads
AA-Omniscience Hallucination RateSource 83.5%89.1%DeepSeek V3.1 leads
GPQASource 88.4%Not comparable
SuperGPQASource 70.4%Not comparable
MMLU-ProSource 87.8%Not comparable
MMLU-ReduxSource 94.9%Not comparable
C-EvalSource 93%Not comparable
HLESource 28.7%Not comparable
Math
BenchmarkDeepSeek V3.1Qwen3.5 397BResult
AIME26Source 93.3%Not comparable
HMMT Feb 2025Source 94.8%Not comparable
HMMT Nov 2025Source 92.7%Not comparable
HMMT Feb 2026Source 87.9%Not comparable
MMAnswerBenchSource 80.9%Not comparable
Multilingual
BenchmarkDeepSeek V3.1Qwen3.5 397BResult
MMLU-ProXSource 84.7%Not comparable
NOVA-63Source 59.1%Not comparable
Multimodal
BenchmarkDeepSeek V3.1Qwen3.5 397BResult
Design Arena WebsiteSource 1155Not comparable
MMMU-ProSource 79%Not comparable
MathVisionSource 88.6%Not comparable
CharXivSource 80.8%Not comparable
VideoMMMUSource 84.7%Not comparable
ScreenSpot ProSource 65.6%Not comparable
V*Source 95.8%Not comparable
AA-MMMU-ProSource 77.3%Not comparable
Inst. Following
BenchmarkDeepSeek V3.1Qwen3.5 397BResult
AA-IFBenchSource 37.8%78.8%Qwen3.5 397B leads
IFEvalSource 92.6%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V3.1 and Qwen3.5 397B on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for DeepSeek V3.1 and Qwen3.5 397B today?

DeepSeek V3.1: $0.00 input / $0.00 output per 1M tokens Qwen3.5 397B: $0.60 input / $3.60 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 20, 2026

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