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Model comparison

GPT-4.1 vs Qwen3 Max

Data verified

Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
51.11/100
Margin
3.0pts
← winning
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: GPT-4.1 #108 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4.1 and Qwen3 Max share 13 comparable benchmark results. 0 of 8 categories are comparable. 7 results are unique to GPT-4.1; 1 to Qwen3 Max.

Updated July 23, 2026
Shared results
13
GPT-4.1 only
7
Qwen3 Max only
1
Comparable categories
0 / 8

Benchmark data for GPT-4.1 and Qwen3 Max is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 13 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-4.1 and Qwen3 Max
CategoryGPT-4.1ΔQwen3 Max
CodingGPT-4.154.6MarginNo overlapQwen3 MaxNot measured
KnowledgeGPT-4.166.3MarginNo overlapQwen3 MaxNot measured
MathGPT-4.14.1MarginNo overlapQwen3 MaxNot measured
Inst. FollowingGPT-4.187.4MarginNo overlapQwen3 MaxNot measured

Operational comparison

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

MetricGPT-4.1Qwen3 MaxComparison
Input / output priceUSD per 1M tokensGPT-4.1$2 input / $8 outputQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-4.1108 tok/sQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-4.11.02 sQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-4.11MQwen3 Max1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4.1Qwen3 MaxResult
τ²-bench resultsSource 47.1%74.3%Qwen3 Max leads
Gert LabsSource 25.65%43.74%Qwen3 Max leads
Coding
BenchmarkGPT-4.1Qwen3 MaxResult
SWE-bench VerifiedSource 54.6%Not comparable
AA-SciCodeSource 38.1%38.3%Qwen3 Max leads
Vibe Code BenchSource 3.51%Not comparable
Reasoning
BenchmarkGPT-4.1Qwen3 MaxResult
AA-LCRSource 61.0%46.7%GPT-4.1 leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkGPT-4.1Qwen3 MaxResult
MMLUSource 90.2%Not comparable
GPQASource 66.3%Not comparable
Artificial Analysis Intelligence IndexSource 19.4%24.0%Qwen3 Max leads
AA-GPQA DiamondSource 66.6%76.4%Qwen3 Max leads
AA-HLESource 4.6%11.1%Qwen3 Max leads
AA-Omniscience IndexSource -36.2%-43.1%GPT-4.1 leads
AA-Omniscience AccuracySource 24.2%24.4%Qwen3 Max leads
AA-Omniscience Hallucination RateSource 79.6%89.4%GPT-4.1 leads
Math
BenchmarkGPT-4.1Qwen3 MaxResult
FrontierMath v2 (Tiers 1-3)Source 5.517%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkGPT-4.1Qwen3 MaxResult
AA-MMMU-ProSource 61.2%Not comparable
Design Arena WebsiteSource 10681148Qwen3 Max leads
Inst. Following
BenchmarkGPT-4.1Qwen3 MaxResult
IFEvalSource 87.4%Not comparable
AA-IFBenchSource 43.0%44.1%Qwen3 Max leads
Frequently Asked Questions (3)

Can I compare GPT-4.1 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-4.1 and Qwen3 Max today?

GPT-4.1: $2.00 input / $8.00 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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