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Model comparison

GPT-5.5 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.

OpenAI
73.51/100
Margin
25.4pts
← winning
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.5 #9 (Estimated); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.5 and Qwen3 Max share 14 comparable benchmark results. 0 of 8 categories are comparable. 43 results are unique to GPT-5.5; 0 to Qwen3 Max.

Updated July 23, 2026
Shared results
14
GPT-5.5 only
43
Qwen3 Max only
0
Comparable categories
0 / 8

Benchmark data for GPT-5.5 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 GPT-5.5 and Qwen3 Max
CategoryGPT-5.5ΔQwen3 Max
AgenticGPT-5.581.6MarginNo overlapQwen3 MaxNot measured
CodingGPT-5.558.6MarginNo overlapQwen3 MaxNot measured
ReasoningGPT-5.585.0MarginNo overlapQwen3 MaxNot measured
KnowledgeGPT-5.557.8MarginNo overlapQwen3 MaxNot measured
MathGPT-5.547.6MarginNo overlapQwen3 MaxNot measured
MultimodalGPT-5.570.4MarginNo overlapQwen3 MaxNot measured

Operational comparison

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

MetricGPT-5.5Qwen3 MaxComparison
Input / output priceUSD per 1M tokensGPT-5.5$5 input / $30 outputQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.5Not availableQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.5Not availableQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.51MQwen3 Max1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.5Qwen3 MaxResult
Terminal-Bench 2.0Source 82%Not comparable
CyberGymSource 81.8%Not comparable
BrowseCompSource 84.4%Not comparable
OSWorld-VerifiedSource 78.7%Not comparable
MCP AtlasSource 75.3%Not comparable
ToolathlonSource 55.6%Not comparable
τ²-bench resultsSource 93.9%74.3%GPT-5.5 leads
AA Agentic IndexSource 44.9%Not comparable
APEX-Agents-AASource 37.7%Not comparable
GDPval-AASource 49.5%Not comparable
GDPval-AASource 1490Not comparable
Gert LabsSource 72.93%43.74%GPT-5.5 leads
ResearchClawBenchSource 17.0%Not comparable
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
Coding
BenchmarkGPT-5.5Qwen3 MaxResult
SWE-bench ProSource 58.6%Not comparable
Terminal-Bench 2.0Source 82.0%Not comparable
Vibe Code BenchSource 69.85%3.51%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%Not comparable
AA-SciCodeSource 56.1%38.3%GPT-5.5 leads
FrontierCode 1.1 MainSource 43.0%Not comparable
Reasoning
BenchmarkGPT-5.5Qwen3 MaxResult
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%46.7%GPT-5.5 leads
CritPtSource 27.1%0.0%GPT-5.5 leads
Knowledge
BenchmarkGPT-5.5Qwen3 MaxResult
GPQASource 93.6%Not comparable
GPQA-DSource 93.6%Not comparable
HLESource 52.2%Not comparable
HLE w/o toolsSource 41.4%Not comparable
Artificial Analysis Intelligence IndexSource 54.8%24.0%GPT-5.5 leads
AA-GPQA DiamondSource 93.5%76.4%GPT-5.5 leads
AA-HLESource 44.3%11.1%GPT-5.5 leads
AA-Omniscience IndexSource 20.1%-43.1%GPT-5.5 leads
AA-Omniscience AccuracySource 56.9%24.4%GPT-5.5 leads
AA-Omniscience Hallucination RateSource 85.5%89.4%GPT-5.5 leads
Math
BenchmarkGPT-5.5Qwen3 MaxResult
FrontierMath (legacy)Source 51.7%Not comparable
FrontierMath v2 (Tiers 1-3)Source 51.700%Not comparable
FrontierMath v2 (Tier 4)Source 35.400%Not comparable
Multimodal
BenchmarkGPT-5.5Qwen3 MaxResult
MMMU-ProSource 81.2%Not comparable
MMMU-Pro w/ PythonSource 83.2%Not comparable
OfficeQA ProSource 54.1%Not comparable
AA-MMMU-ProSource 79.9%Not comparable
Design Arena WebsiteSource 12821148GPT-5.5 leads
Inst. Following
BenchmarkGPT-5.5Qwen3 MaxResult
AA-IFBenchSource 75.9%44.1%GPT-5.5 leads
Frequently Asked Questions (3)

Can I compare GPT-5.5 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 GPT-5.5 and Qwen3 Max today?

GPT-5.5: $5.00 input / $30.00 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 23, 2026

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