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Model comparison

o1-pro vs Qwen3 Max

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
45.94/100
Margin
2.2pts
winning →
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: o1-pro #141 (Estimated); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o1-pro and Qwen3 Max share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to o1-pro; 13 to Qwen3 Max.

Updated July 23, 2026
Shared results
1
o1-pro only
1
Qwen3 Max only
13
Comparable categories
0 / 8

Benchmark data for o1-pro and Qwen3 Max is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.

Qwen3 Max has the larger context window at 1M, compared with 200K for o1-pro.

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 o1-pro and Qwen3 Max
Categoryo1-proΔQwen3 Max
Knowledgeo1-pro79.0MarginNo overlapQwen3 MaxNot measured

Operational comparison

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

Metrico1-proQwen3 MaxComparison
Input / output priceUSD per 1M tokenso1-pro$150 input / $600 outputQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondo1-proNot availableQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokeno1-proNot availableQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokenso1-pro200KQwen3 Max1MQwen3 Max lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmarko1-proQwen3 MaxResult
τ²-bench resultsSource 74.3%Not comparable
Gert LabsSource 43.74%Not comparable
Coding
Benchmarko1-proQwen3 MaxResult
Vibe Code BenchSource 3.51%Not comparable
AA-SciCodeSource 38.3%Not comparable
Reasoning
Benchmarko1-proQwen3 MaxResult
AA-LCRSource 46.7%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
Benchmarko1-proQwen3 MaxResult
GPQASource 79%Not comparable
Artificial Analysis Intelligence IndexSource 18.9%24.0%Qwen3 Max leads
AA-GPQA DiamondSource 76.4%Not comparable
AA-HLESource 11.1%Not comparable
AA-Omniscience IndexSource -43.1%Not comparable
AA-Omniscience AccuracySource 24.4%Not comparable
AA-Omniscience Hallucination RateSource 89.4%Not comparable
Multimodal
Benchmarko1-proQwen3 MaxResult
Design Arena WebsiteSource 1148Not comparable
Inst. Following
Benchmarko1-proQwen3 MaxResult
AA-IFBenchSource 44.1%Not comparable
Frequently Asked Questions (3)

Can I compare o1-pro 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 o1-pro and Qwen3 Max today?

o1-pro: $150.00 input / $600.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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