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Model comparison

Qwen3.5 397B vs Qwen3.6 Plus

Data verified

Head-to-head evidence from 53 shared benchmark results across 8 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

57.01/100
Margin
8.2pts
winning →
65.2/100
3 category wins4 category wins

Public leaderboard positions: Qwen3.5 397B #71 (Estimated); Qwen3.6 Plus #30 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.5 397B and Qwen3.6 Plus share 53 comparable benchmark results. 8 of 8 categories are comparable. 2 results are unique to Qwen3.5 397B; 7 to Qwen3.6 Plus.

Updated July 23, 2026
Shared results
53
Qwen3.5 397B only
2
Qwen3.6 Plus only
7
Comparable categories
8 / 8

Pick Qwen3.6 Plus if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if mathematics is the priority or you would rather avoid the extra latency and token burn of a reasoning model.

Why this result

Qwen3.6 Plus is clearly ahead on the BenchAlign aggregate, 65.2 to 57.01. 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 agentic, where it averages 61.6 against 56.5. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 52.5% to 61.6%. Qwen3.5 397B does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.

Qwen3.6 Plus is the reasoning model in the pair, while Qwen3.5 397B 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. Qwen3.6 Plus gives you the larger context window at 1M, compared with 128K for Qwen3.5 397B.

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 Qwen3.6 Plus
CategoryQwen3.5 397BΔQwen3.6 Plus
MathQwen3.5 397B90.6Margin 30.1Qwen3.6 Plus60.5
Inst. FollowingQwen3.5 397B92.6Margin 10.3Qwen3.6 Plus82.3
AgenticQwen3.5 397B56.5Margin 5.1Qwen3.6 Plus61.6
CodingQwen3.5 397B66.5Margin 3.8Qwen3.6 Plus70.3
ReasoningQwen3.5 397B63.2Margin 1.2Qwen3.6 Plus62.0
KnowledgeQwen3.5 397B56.6Margin 0.5Qwen3.6 Plus57.1
MultimodalQwen3.5 397B79.6Margin 0.2Qwen3.6 Plus79.8
MultilingualQwen3.5 397B84.7MarginTieQwen3.6 Plus84.7

Decisive benchmark drivers

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

More
A · Qwen3.5 397BB · Qwen3.6 Plus
  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 52.5%B 61.6%
    Winner: Qwen3.6 PlusΔ 9.1
    Terminal-Bench 2.0: Qwen3.5 397B scored 52.5%; Qwen3.6 Plus scored 61.6%. Qwen3.6 Plus wins this benchmark.
  2. SWE-bench Pro

    Coding
    Source ↗
    A 50.9%B 56.6%
    Winner: Qwen3.6 PlusΔ 5.7
    SWE-bench Pro: Qwen3.5 397B scored 50.9%; Qwen3.6 Plus scored 56.6%. Qwen3.6 Plus wins this benchmark.
  3. SWE-bench Verified

    Coding
    Source ↗
    A 76.2%B 78.8%
    Winner: Qwen3.6 PlusΔ 2.6
    SWE-bench Verified: Qwen3.5 397B scored 76.2%; Qwen3.6 Plus scored 78.8%. Qwen3.6 Plus wins this benchmark.
  4. GPQA

    Knowledge
    Source ↗
    A 88.4%B 90.4%
    Winner: Qwen3.6 PlusΔ 2
    GPQA: Qwen3.5 397B scored 88.4%; Qwen3.6 Plus scored 90.4%. Qwen3.6 Plus wins this benchmark.
  5. AIME26

    Math
    Source ↗
    A 93.3%B 95.3%
    Winner: Qwen3.6 PlusΔ 2
    AIME26: Qwen3.5 397B scored 93.3%; Qwen3.6 Plus scored 95.3%. Qwen3.6 Plus wins this benchmark.

Operational comparison

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

MetricQwen3.5 397BQwen3.6 PlusComparison
Input / output priceUSD per 1M tokensQwen3.5 397B$0.6 input / $3.6 outputQwen3.6 PlusNot availableA complete price comparison is not available.
Generation speedtokens per secondQwen3.5 397B96 tok/sQwen3.6 PlusNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.5 397B2.44 sQwen3.6 PlusNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.5 397B128KQwen3.6 Plus1MQwen3.6 Plus lists the larger context window.

Benchmark Deep Dive

AgenticQwen3.6 Plus wins
BenchmarkQwen3.5 397BQwen3.6 PlusResult
Terminal-Bench 2.0Source 52.5%61.6%Qwen3.6 Plus leads
BrowseCompSource 62%Not comparable
Claw-EvalSource 56.8%58.8%Qwen3.6 Plus leads
QwenClawBenchSource 51.8%57.2%Qwen3.6 Plus leads
τ³-bench resultsSource 68.4%70.7%Qwen3.6 Plus leads
VITA-BenchSource 43.7%44.3%Qwen3.6 Plus leads
DeepPlanningSource 37.6%41.5%Qwen3.6 Plus leads
ToolathlonSource 36.3%39.8%Qwen3.6 Plus leads
MCP AtlasSource 46.1%48.2%Qwen3.6 Plus leads
MCP-TasksSource 74.2%74.1%Qwen3.5 397B leads
WideResearchSource 74.0%74.3%Qwen3.6 Plus leads
τ²-bench resultsSource 95.6%97.7%Qwen3.6 Plus leads
Gert LabsSource 46.76%50.60%Qwen3.6 Plus leads
ResearchClawBenchSource 14.2%18.0%Qwen3.6 Plus leads
AA Agentic IndexSource 19.9%27.6%Qwen3.6 Plus leads
APEX-Agents-AASource 15.3%Not comparable
GDPval-AASource 23.1%31.8%Qwen3.6 Plus leads
GDPval-AASource 9621135Qwen3.6 Plus leads
CodingQwen3.6 Plus wins
BenchmarkQwen3.5 397BQwen3.6 PlusResult
SWE-bench VerifiedSource 76.2%78.8%Qwen3.6 Plus leads
LiveCodeBench v6Source 83.6%87.1%Qwen3.6 Plus leads
SWE-bench ProSource 50.9%56.6%Qwen3.6 Plus leads
AA-SciCodeSource 42.0%40.7%Qwen3.5 397B leads
AA Coding IndexSource 48.2%54.5%Qwen3.6 Plus leads
SWE MultilingualSource 73.8%Not comparable
Vibe Code BenchSource 25.56%Not comparable
ReasoningQwen3.5 397B wins
BenchmarkQwen3.5 397BQwen3.6 PlusResult
LongBench v2Source 63.2%62%Qwen3.5 397B leads
AI-NeedleSource 68.7%68.3%Qwen3.5 397B leads
AA-LCRSource 65.7%69.7%Qwen3.6 Plus leads
CritPtSource 1.7%2.9%Qwen3.6 Plus leads
KnowledgeQwen3.6 Plus wins
BenchmarkQwen3.5 397BQwen3.6 PlusResult
GPQASource 88.4%90.4%Qwen3.6 Plus leads
SuperGPQASource 70.4%71.6%Qwen3.6 Plus leads
MMLU-ProSource 87.8%88.5%Qwen3.6 Plus leads
MMLU-ReduxSource 94.9%94.5%Qwen3.5 397B leads
C-EvalSource 93%93.3%Qwen3.6 Plus leads
HLESource 28.7%28.8%Qwen3.6 Plus leads
Artificial Analysis Intelligence IndexSource 33.7%39.6%Qwen3.6 Plus leads
AA-GPQA DiamondSource 89.3%88.2%Qwen3.5 397B leads
AA-HLESource 27.3%25.7%Qwen3.5 397B leads
AA-Omniscience IndexSource -29.8%2.7%Qwen3.6 Plus leads
AA-Omniscience AccuracySource 31.4%26.2%Qwen3.5 397B leads
AA-Omniscience Hallucination RateSource 89.1%32.0%Qwen3.6 Plus leads
MathQwen3.5 397B wins
BenchmarkQwen3.5 397BQwen3.6 PlusResult
AIME26Source 93.3%95.3%Qwen3.6 Plus leads
HMMT Feb 2025Source 94.8%96.7%Qwen3.6 Plus leads
HMMT Nov 2025Source 92.7%94.6%Qwen3.6 Plus leads
HMMT Feb 2026Source 87.9%87.8%Qwen3.5 397B leads
MMAnswerBenchSource 80.9%83.8%Qwen3.6 Plus leads
FrontierMath v2 (Tiers 1-3)Source 26.207%Not comparable
FrontierMath v2 (Tier 4)Source 8.333%Not comparable
MultilingualTie
BenchmarkQwen3.5 397BQwen3.6 PlusResult
MMLU-ProXSource 84.7%84.7%Tie
NOVA-63Source 59.1%57.9%Qwen3.5 397B leads
MultimodalQwen3.6 Plus wins
BenchmarkQwen3.5 397BQwen3.6 PlusResult
MMMU-ProSource 79%78.8%Qwen3.5 397B leads
MathVisionSource 88.6%88.0%Qwen3.5 397B leads
CharXivSource 80.8%81.5%Qwen3.6 Plus leads
VideoMMMUSource 84.7%84.0%Qwen3.5 397B leads
ScreenSpot ProSource 65.6%68.2%Qwen3.6 Plus leads
V*Source 95.8%96.9%Qwen3.6 Plus leads
AA-MMMU-ProSource 77.3%78.0%Qwen3.6 Plus leads
MMMUSource 86.0%Not comparable
Design Arena WebsiteSource 1249Not comparable
Inst. FollowingQwen3.5 397B wins
BenchmarkQwen3.5 397BQwen3.6 PlusResult
IFEvalSource 92.6%94.3%Qwen3.6 Plus leads
AA-IFBenchSource 78.8%75.2%Qwen3.5 397B leads
IFBenchSource 75.8%Not comparable
Frequently Asked Questions (9)

Which is better, Qwen3.5 397B or Qwen3.6 Plus?

Qwen3.6 Plus is ahead on BenchLM's BenchAlign leaderboard, 65.2 to 57.01. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 52.5% and 61.6%.

Which is better for knowledge tasks, Qwen3.5 397B or Qwen3.6 Plus?

Qwen3.6 Plus has the edge for knowledge tasks in this comparison, averaging 57.1 versus 56.6. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, Qwen3.5 397B or Qwen3.6 Plus?

Qwen3.6 Plus has the edge for coding in this comparison, averaging 70.3 versus 66.5. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for math, Qwen3.5 397B or Qwen3.6 Plus?

Qwen3.5 397B has the edge for math in this comparison, averaging 90.6 versus 60.5. Inside this category, MMAnswerBench is the benchmark that creates the most daylight between them.

Which is better for reasoning, Qwen3.5 397B or Qwen3.6 Plus?

Qwen3.5 397B has the edge for reasoning in this comparison, averaging 63.2 versus 62. Inside this category, AA-LCR is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Qwen3.5 397B or Qwen3.6 Plus?

Qwen3.6 Plus has the edge for agentic tasks in this comparison, averaging 61.6 versus 56.5. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Qwen3.5 397B or Qwen3.6 Plus?

Qwen3.6 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 79.8 versus 79.6. Inside this category, ScreenSpot Pro is the benchmark that creates the most daylight between them.

Which is better for instruction following, Qwen3.5 397B or Qwen3.6 Plus?

Qwen3.5 397B has the edge for instruction following in this comparison, averaging 92.6 versus 82.3. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.

Which is better for multilingual tasks, Qwen3.5 397B or Qwen3.6 Plus?

Qwen3.5 397B and Qwen3.6 Plus are effectively tied for multilingual tasks here, both landing at 84.7 on average.

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Last updated: July 23, 2026

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