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Model comparison

Qwen3.6 Plus vs Qwen3 Max

Data verified

Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

65.2/100
Margin
17.0pts
← winning
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: Qwen3.6 Plus #30 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.6 Plus and Qwen3 Max share 14 comparable benchmark results. 0 of 8 categories are comparable. 46 results are unique to Qwen3.6 Plus; 0 to Qwen3 Max.

Updated July 23, 2026
Shared results
14
Qwen3.6 Plus only
46
Qwen3 Max only
0
Comparable categories
0 / 8

Benchmark data for Qwen3.6 Plus and Qwen3 Max is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 14 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 Qwen3.6 Plus and Qwen3 Max
CategoryQwen3.6 PlusΔQwen3 Max
AgenticQwen3.6 Plus61.6MarginNo overlapQwen3 MaxNot measured
CodingQwen3.6 Plus70.3MarginNo overlapQwen3 MaxNot measured
ReasoningQwen3.6 Plus62.0MarginNo overlapQwen3 MaxNot measured
KnowledgeQwen3.6 Plus57.1MarginNo overlapQwen3 MaxNot measured
MathQwen3.6 Plus60.5MarginNo overlapQwen3 MaxNot measured
MultilingualQwen3.6 Plus84.7MarginNo overlapQwen3 MaxNot measured
MultimodalQwen3.6 Plus79.8MarginNo overlapQwen3 MaxNot measured
Inst. FollowingQwen3.6 Plus82.3MarginNo overlapQwen3 MaxNot measured

Operational comparison

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

MetricQwen3.6 PlusQwen3 MaxComparison
Input / output priceUSD per 1M tokensQwen3.6 PlusNot availableQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondQwen3.6 PlusNot availableQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.6 PlusNot availableQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.6 Plus1MQwen3 Max1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkQwen3.6 PlusQwen3 MaxResult
Terminal-Bench 2.0Source 61.6%Not comparable
Claw-EvalSource 58.8%Not comparable
QwenClawBenchSource 57.2%Not comparable
τ³-bench resultsSource 70.7%Not comparable
VITA-BenchSource 44.3%Not comparable
DeepPlanningSource 41.5%Not comparable
ToolathlonSource 39.8%Not comparable
MCP AtlasSource 48.2%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%74.3%Qwen3.6 Plus leads
GDPval-AASource 31.8%Not comparable
GDPval-AASource 1135Not comparable
Gert LabsSource 50.60%43.74%Qwen3.6 Plus leads
ResearchClawBenchSource 18.0%Not comparable
Coding
BenchmarkQwen3.6 PlusQwen3 MaxResult
SWE-bench VerifiedSource 78.8%Not comparable
SWE-bench ProSource 56.6%Not comparable
SWE MultilingualSource 73.8%Not comparable
LiveCodeBench v6Source 87.1%Not comparable
Vibe Code BenchSource 25.56%3.51%Qwen3.6 Plus leads
AA Coding IndexSource 54.5%Not comparable
AA-SciCodeSource 40.7%38.3%Qwen3.6 Plus leads
Reasoning
BenchmarkQwen3.6 PlusQwen3 MaxResult
AI-NeedleSource 68.3%Not comparable
LongBench v2Source 62%Not comparable
AA-LCRSource 69.7%46.7%Qwen3.6 Plus leads
CritPtSource 2.9%0.0%Qwen3.6 Plus leads
Knowledge
BenchmarkQwen3.6 PlusQwen3 MaxResult
GPQASource 90.4%Not comparable
SuperGPQASource 71.6%Not comparable
MMLU-ProSource 88.5%Not comparable
MMLU-ReduxSource 94.5%Not comparable
C-EvalSource 93.3%Not comparable
HLESource 28.8%Not comparable
Artificial Analysis Intelligence IndexSource 39.6%24.0%Qwen3.6 Plus leads
AA-GPQA DiamondSource 88.2%76.4%Qwen3.6 Plus leads
AA-HLESource 25.7%11.1%Qwen3.6 Plus leads
AA-Omniscience IndexSource 2.7%-43.1%Qwen3.6 Plus leads
AA-Omniscience AccuracySource 26.2%24.4%Qwen3.6 Plus leads
AA-Omniscience Hallucination RateSource 32.0%89.4%Qwen3.6 Plus leads
Math
BenchmarkQwen3.6 PlusQwen3 MaxResult
AIME26Source 95.3%Not comparable
HMMT Feb 2025Source 96.7%Not comparable
HMMT Nov 2025Source 94.6%Not comparable
HMMT Feb 2026Source 87.8%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
BenchmarkQwen3.6 PlusQwen3 MaxResult
MMLU-ProXSource 84.7%Not comparable
NOVA-63Source 57.9%Not comparable
Multimodal
BenchmarkQwen3.6 PlusQwen3 MaxResult
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
Design Arena WebsiteSource 12491148Qwen3.6 Plus leads
Inst. Following
BenchmarkQwen3.6 PlusQwen3 MaxResult
IFEvalSource 94.3%Not comparable
IFBenchSource 75.8%Not comparable
AA-IFBenchSource 75.2%44.1%Qwen3.6 Plus leads
Frequently Asked Questions (3)

Can I compare Qwen3.6 Plus and Qwen3 Max 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 Qwen3.6 Plus and Qwen3 Max today?

Qwen3.6 Plus: Pricing unavailable 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 23, 2026

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