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Model comparison

GPT-5.5 vs Qwen3.6 Plus

Data verified

Head-to-head evidence from 29 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
73.51/100
Margin
8.3pts
← winning
65.2/100
3 category wins3 category wins

Public leaderboard positions: GPT-5.5 #9 (Estimated); Qwen3.6 Plus #30 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.5 and Qwen3.6 Plus share 29 comparable benchmark results. 6 of 8 categories are comparable. 28 results are unique to GPT-5.5; 31 to Qwen3.6 Plus.

Updated July 22, 2026
Shared results
29
GPT-5.5 only
28
Qwen3.6 Plus only
31
Comparable categories
6 / 8

Pick GPT-5.5 if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if mathematics is the priority.

Confidence note. This is a partial-evidence comparison with 29 shared benchmark results across 7 evidence categories; 6 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.5 is clearly ahead on the BenchAlign aggregate, 73.51 to 65.2. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.5's sharpest advantage is in reasoning, where it averages 85 against 62. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 35.400% to 8.333%. Qwen3.6 Plus does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.

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 GPT-5.5 and Qwen3.6 Plus
CategoryGPT-5.5ΔQwen3.6 Plus
ReasoningGPT-5.585.0Margin 23.0Qwen3.6 Plus62.0
AgenticGPT-5.581.6Margin 20.0Qwen3.6 Plus61.6
MathGPT-5.547.6Margin 12.9Qwen3.6 Plus60.5
CodingGPT-5.558.6Margin 11.7Qwen3.6 Plus70.3
MultimodalGPT-5.570.4Margin 9.4Qwen3.6 Plus79.8
KnowledgeGPT-5.557.8Margin 0.7Qwen3.6 Plus57.1
MultilingualGPT-5.5Not measuredMarginNo overlapQwen3.6 Plus84.7
Inst. FollowingGPT-5.5Not measuredMarginNo overlapQwen3.6 Plus82.3

Decisive benchmark drivers

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

More
A · GPT-5.5B · Qwen3.6 Plus
  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 35.400%B 8.333%
    Winner: GPT-5.5Δ 27.1
    FrontierMath v2 (Tier 4): GPT-5.5 scored 35.400%; Qwen3.6 Plus scored 8.333%. GPT-5.5 wins this benchmark.
  2. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 51.700%B 26.207%
    Winner: GPT-5.5Δ 25.5
    FrontierMath v2 (Tiers 1-3): GPT-5.5 scored 51.700%; Qwen3.6 Plus scored 26.207%. GPT-5.5 wins this benchmark.
  3. HLE

    Knowledge
    Source ↗
    A 52.2%B 28.8%
    Winner: GPT-5.5Δ 23.4
    HLE: GPT-5.5 scored 52.2%; Qwen3.6 Plus scored 28.8%. GPT-5.5 wins this benchmark.
  4. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 82%B 61.6%
    Winner: GPT-5.5Δ 20.4
    Terminal-Bench 2.0: GPT-5.5 scored 82%; Qwen3.6 Plus scored 61.6%. GPT-5.5 wins this benchmark.
  5. GPQA

    Knowledge
    Source ↗
    A 93.6%B 90.4%
    Winner: GPT-5.5Δ 3.2
    GPQA: GPT-5.5 scored 93.6%; Qwen3.6 Plus scored 90.4%. GPT-5.5 wins this benchmark.

Operational comparison

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

MetricGPT-5.5Qwen3.6 PlusComparison
Input / output priceUSD per 1M tokensGPT-5.5$5 input / $30 outputQwen3.6 PlusNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.5Not availableQwen3.6 PlusNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.5Not availableQwen3.6 PlusNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.51MQwen3.6 Plus1MListed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.5 wins
BenchmarkGPT-5.5Qwen3.6 PlusResult
Terminal-Bench 2.0Source 82%61.6%GPT-5.5 leads
CyberGymSource 81.8%Not comparable
BrowseCompSource 84.4%Not comparable
OSWorld-VerifiedSource 78.7%Not comparable
MCP AtlasSource 75.3%48.2%GPT-5.5 leads
ToolathlonSource 55.6%39.8%GPT-5.5 leads
τ²-bench resultsSource 93.9%97.7%Qwen3.6 Plus leads
AA Agentic IndexSource 44.9%27.6%GPT-5.5 leads
APEX-Agents-AASource 37.7%Not comparable
GDPval-AASource 49.5%31.8%GPT-5.5 leads
GDPval-AASource 14901135GPT-5.5 leads
Gert LabsSource 72.93%50.60%GPT-5.5 leads
ResearchClawBenchSource 17.0%18.0%Qwen3.6 Plus leads
OSWorld 2.0Source 13.0%Not comparable
JobBenchSource 42.7%Not comparable
ExploitGymSource 13.4%Not comparable
AA BriefcaseSource 1154Not comparable
AA AutomationBenchSource 42.1%Not comparable
AA EnterpriseOps-GymSource 46.6%Not comparable
AA Harvey LABSource 86.3%Not comparable
AA ITBenchSource 45.8%Not comparable
AA Tau3 BankingSource 31.3%Not comparable
terminalBenchHardSource 60.6%Not comparable
aaTerminalBench21Source 84.3%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
MCP-TasksSource 74.1%Not comparable
WideResearchSource 74.3%Not comparable
CodingQwen3.6 Plus wins
BenchmarkGPT-5.5Qwen3.6 PlusResult
SWE-bench ProSource 58.6%56.6%GPT-5.5 leads
Terminal-Bench 2.0Source 82.0%Not comparable
Vibe Code BenchSource 69.85%25.56%GPT-5.5 leads
React Native EvalsSource 84.7%Not comparable
cursorBench31Source 59.2%Not comparable
cursorBench32Source 58.4%Not comparable
AA Coding IndexSource 74.9%54.5%GPT-5.5 leads
AA-SciCodeSource 56.1%40.7%GPT-5.5 leads
FrontierCode 1.1 MainSource 43.0%Not comparable
SWE-bench VerifiedSource 78.8%Not comparable
SWE MultilingualSource 73.8%Not comparable
LiveCodeBench v6Source 87.1%Not comparable
ReasoningGPT-5.5 wins
BenchmarkGPT-5.5Qwen3.6 PlusResult
MRCR v2 64K-128KSource 83.1%Not comparable
MRCR v2 128K-256KSource 87.5%Not comparable
ARC-AGI-2Source 85%Not comparable
AA-LCRSource 74.3%69.7%GPT-5.5 leads
CritPtSource 27.1%2.9%GPT-5.5 leads
AI-NeedleSource 68.3%Not comparable
LongBench v2Source 62%Not comparable
KnowledgeGPT-5.5 wins
BenchmarkGPT-5.5Qwen3.6 PlusResult
GPQASource 93.6%90.4%GPT-5.5 leads
GPQA-DSource 93.6%Not comparable
HLESource 52.2%28.8%GPT-5.5 leads
HLE w/o toolsSource 41.4%Not comparable
Artificial Analysis Intelligence IndexSource 54.8%39.6%GPT-5.5 leads
AA-GPQA DiamondSource 93.5%88.2%GPT-5.5 leads
AA-HLESource 44.3%25.7%GPT-5.5 leads
AA-Omniscience IndexSource 20.1%2.7%GPT-5.5 leads
AA-Omniscience AccuracySource 56.9%26.2%GPT-5.5 leads
AA-Omniscience Hallucination RateSource 85.5%32.0%Qwen3.6 Plus leads
SuperGPQASource 71.6%Not comparable
MMLU-ProSource 88.5%Not comparable
MMLU-ReduxSource 94.5%Not comparable
C-EvalSource 93.3%Not comparable
MathQwen3.6 Plus wins
BenchmarkGPT-5.5Qwen3.6 PlusResult
FrontierMath (legacy)Source 51.7%Not comparable
FrontierMath v2 (Tiers 1-3)Source 51.700%26.207%GPT-5.5 leads
FrontierMath v2 (Tier 4)Source 35.400%8.333%GPT-5.5 leads
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
Multilingual
BenchmarkGPT-5.5Qwen3.6 PlusResult
MMLU-ProXSource 84.7%Not comparable
NOVA-63Source 57.9%Not comparable
MultimodalQwen3.6 Plus wins
BenchmarkGPT-5.5Qwen3.6 PlusResult
MMMU-ProSource 81.2%78.8%GPT-5.5 leads
MMMU-Pro w/ PythonSource 83.2%Not comparable
OfficeQA ProSource 54.1%Not comparable
AA-MMMU-ProSource 79.9%78.0%GPT-5.5 leads
Design Arena WebsiteSource 12821249GPT-5.5 leads
MMMUSource 86.0%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
Inst. Following
BenchmarkGPT-5.5Qwen3.6 PlusResult
AA-IFBenchSource 75.9%75.2%GPT-5.5 leads
IFEvalSource 94.3%Not comparable
IFBenchSource 75.8%Not comparable
Frequently Asked Questions (7)

Which is better, GPT-5.5 or Qwen3.6 Plus?

GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 65.2. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 35.400% and 8.333%.

Which is better for knowledge tasks, GPT-5.5 or Qwen3.6 Plus?

GPT-5.5 has the edge for knowledge tasks in this comparison, averaging 57.8 versus 57.1. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.5 or Qwen3.6 Plus?

Qwen3.6 Plus has the edge for coding in this comparison, averaging 70.3 versus 58.6. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.

Which is better for math, GPT-5.5 or Qwen3.6 Plus?

Qwen3.6 Plus has the edge for math in this comparison, averaging 60.5 versus 47.6. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.

Which is better for reasoning, GPT-5.5 or Qwen3.6 Plus?

GPT-5.5 has the edge for reasoning in this comparison, averaging 85 versus 62. Inside this category, CritPt is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.5 or Qwen3.6 Plus?

GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.6 versus 61.6. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, GPT-5.5 or Qwen3.6 Plus?

Qwen3.6 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 79.8 versus 70.4. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.

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Last updated: July 22, 2026

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