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Model comparison

Qwen3.5 397B vs Qwen3.5 397B (Reasoning)

Data verified

Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Sibling matchup inside the Qwen3.5 397B family.

57.01/100
Margin
2.5pts
winning →
59.5/100
0 category wins0 category wins

Public leaderboard positions: Qwen3.5 397B #71 (Estimated); Qwen3.5 397B (Reasoning) #56 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.5 397B and Qwen3.5 397B (Reasoning) share 17 comparable benchmark results. 0 of 8 categories are comparable. 38 results are unique to Qwen3.5 397B; 0 to Qwen3.5 397B (Reasoning).

Updated July 20, 2026
Shared results
17
Qwen3.5 397B only
38
Qwen3.5 397B (Reasoning) only
0
Comparable categories
0 / 8

Benchmark data for Qwen3.5 397B and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 6 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.

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 Qwen3.5 397B and Qwen3.5 397B (Reasoning)
CategoryQwen3.5 397BΔQwen3.5 397B (Reasoning)
AgenticQwen3.5 397B56.5MarginNo overlapQwen3.5 397B (Reasoning)Not measured
CodingQwen3.5 397B66.5MarginNo overlapQwen3.5 397B (Reasoning)Not measured
ReasoningQwen3.5 397B63.2MarginNo overlapQwen3.5 397B (Reasoning)Not measured
KnowledgeQwen3.5 397B56.6MarginNo overlapQwen3.5 397B (Reasoning)Not measured
MathQwen3.5 397B90.6MarginNo overlapQwen3.5 397B (Reasoning)Not measured
MultilingualQwen3.5 397B84.7MarginNo overlapQwen3.5 397B (Reasoning)Not measured
MultimodalQwen3.5 397B79.6MarginNo overlapQwen3.5 397B (Reasoning)Not measured
Inst. FollowingQwen3.5 397B92.6MarginNo overlapQwen3.5 397B (Reasoning)Not measured

Operational comparison

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

MetricQwen3.5 397BQwen3.5 397B (Reasoning)Comparison
Input / output priceUSD per 1M tokensQwen3.5 397B$0.6 input / $3.6 outputQwen3.5 397B (Reasoning)$0.6 input / $3.6 outputListed prices are equal.
Generation speedtokens per secondQwen3.5 397B96 tok/sQwen3.5 397B (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.5 397B2.44 sQwen3.5 397B (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.5 397B128KQwen3.5 397B (Reasoning)128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkQwen3.5 397BQwen3.5 397B (Reasoning)Result
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
τ²-bench resultsSource 95.6%95.6%Tie
Gert LabsSource 46.76%Not comparable
ResearchClawBenchSource 14.2%Not comparable
AA Agentic IndexSource 19.9%19.9%Tie
APEX-Agents-AASource 15.3%15.3%Tie
GDPval-AASource 23.1%23.1%Tie
GDPval-AASource 962962Tie
Coding
BenchmarkQwen3.5 397BQwen3.5 397B (Reasoning)Result
SWE-bench VerifiedSource 76.2%Not comparable
LiveCodeBench v6Source 83.6%Not comparable
SWE-bench ProSource 50.9%Not comparable
AA-SciCodeSource 42.0%42.0%Tie
AA Coding IndexSource 48.2%48.2%Tie
Reasoning
BenchmarkQwen3.5 397BQwen3.5 397B (Reasoning)Result
LongBench v2Source 63.2%Not comparable
AI-NeedleSource 68.7%Not comparable
AA-LCRSource 65.7%65.7%Tie
CritPtSource 1.7%1.7%Tie
Knowledge
BenchmarkQwen3.5 397BQwen3.5 397B (Reasoning)Result
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
Artificial Analysis Intelligence IndexSource 33.7%33.7%Tie
AA-GPQA DiamondSource 89.3%89.3%Tie
AA-HLESource 27.3%27.3%Tie
AA-Omniscience IndexSource -29.8%-29.8%Tie
AA-Omniscience AccuracySource 31.4%31.4%Tie
AA-Omniscience Hallucination RateSource 89.1%89.1%Tie
Math
BenchmarkQwen3.5 397BQwen3.5 397B (Reasoning)Result
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
BenchmarkQwen3.5 397BQwen3.5 397B (Reasoning)Result
MMLU-ProXSource 84.7%Not comparable
NOVA-63Source 59.1%Not comparable
Multimodal
BenchmarkQwen3.5 397BQwen3.5 397B (Reasoning)Result
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%77.3%Tie
Inst. Following
BenchmarkQwen3.5 397BQwen3.5 397B (Reasoning)Result
IFEvalSource 92.6%Not comparable
AA-IFBenchSource 78.8%78.8%Tie
Frequently Asked Questions (3)

Can I compare Qwen3.5 397B and Qwen3.5 397B (Reasoning) 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 Qwen3.5 397B and Qwen3.5 397B (Reasoning) today?

Qwen3.5 397B: $0.60 input / $3.60 output per 1M tokens Qwen3.5 397B (Reasoning): $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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