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Model comparison

GPT-4.1 mini vs Qwen3 Max

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

44.19/100
Margin
4.0pts
winning →
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: GPT-4.1 mini #152 (Estimated); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4.1 mini and Qwen3 Max share 12 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to GPT-4.1 mini; 2 to Qwen3 Max.

Updated July 23, 2026
Shared results
12
GPT-4.1 mini only
10
Qwen3 Max only
2
Comparable categories
0 / 8

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

Confidence note. This is a partial-evidence comparison with 12 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 mini and Qwen3 Max
CategoryGPT-4.1 miniΔQwen3 Max
CodingGPT-4.1 mini23.6MarginNo overlapQwen3 MaxNot measured
KnowledgeGPT-4.1 mini64.2MarginNo overlapQwen3 MaxNot measured
MathGPT-4.1 mini4.5MarginNo overlapQwen3 MaxNot measured
Inst. FollowingGPT-4.1 mini88.5MarginNo overlapQwen3 MaxNot measured

Operational comparison

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

MetricGPT-4.1 miniQwen3 MaxComparison
Input / output priceUSD per 1M tokensGPT-4.1 mini$0.4 input / $1.6 outputQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-4.1 mini80 tok/sQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-4.1 mini0.76 sQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-4.1 mini1MQwen3 Max1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4.1 miniQwen3 MaxResult
AA Agentic IndexSource 1.7%Not comparable
τ²-bench resultsSource 52.9%74.3%Qwen3 Max leads
GDPval-AASource 0.1%Not comparable
GDPval-AASource 503Not comparable
Gert LabsSource 43.74%Not comparable
Coding
BenchmarkGPT-4.1 miniQwen3 MaxResult
SWE-bench VerifiedSource 23.6%Not comparable
AA Coding IndexSource 20.2%Not comparable
AA-SciCodeSource 40.4%38.3%GPT-4.1 mini leads
Vibe Code BenchSource 3.51%Not comparable
Reasoning
BenchmarkGPT-4.1 miniQwen3 MaxResult
AA-LCRSource 42.3%46.7%Qwen3 Max leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkGPT-4.1 miniQwen3 MaxResult
MMLUSource 87.5%Not comparable
GPQASource 64.2%Not comparable
Artificial Analysis Intelligence IndexSource 14.8%24.0%Qwen3 Max leads
AA-GPQA DiamondSource 66.4%76.4%Qwen3 Max leads
AA-HLESource 4.6%11.1%Qwen3 Max leads
AA-Omniscience IndexSource -50.1%-43.1%Qwen3 Max leads
AA-Omniscience AccuracySource 17.5%24.4%Qwen3 Max leads
AA-Omniscience Hallucination RateSource 82.0%89.4%GPT-4.1 mini leads
Math
BenchmarkGPT-4.1 miniQwen3 MaxResult
FrontierMath v2 (Tiers 1-3)Source 4.483%Not comparable
Multimodal
BenchmarkGPT-4.1 miniQwen3 MaxResult
AA-MMMU-ProSource 58.7%Not comparable
Design Arena WebsiteSource 10271148Qwen3 Max leads
Inst. Following
BenchmarkGPT-4.1 miniQwen3 MaxResult
IFEvalSource 88.5%Not comparable
AA-IFBenchSource 38.3%44.1%Qwen3 Max leads
Frequently Asked Questions (3)

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

GPT-4.1 mini: $0.40 input / $1.60 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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