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Model comparison

o1-pro vs Qwen3.6-27B

Data verified

Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
45.94/100
Margin
7.9pts
winning →
53.82/100
1 category wins0 category wins

Public leaderboard positions: o1-pro #141 (Estimated); Qwen3.6-27B #93 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o1-pro and Qwen3.6-27B share 2 comparable benchmark results. 1 of 8 categories are comparable. 0 results are unique to o1-pro; 52 to Qwen3.6-27B.

Updated July 21, 2026
Shared results
2
o1-pro only
0
Qwen3.6-27B only
52
Comparable categories
1 / 8

Pick Qwen3.6-27B if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Qwen3.6-27B is clearly ahead on the BenchAlign aggregate, 53.82 to 45.94. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.6-27B. That is roughly Infinityx on output cost alone. Qwen3.6-27B gives you the larger context window at 262K, 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 Qwen3.6-27B
Categoryo1-proΔQwen3.6-27B
Knowledgeo1-pro79.0Margin 25.7Qwen3.6-27B53.3
Agentico1-proNot measuredMarginNo overlapQwen3.6-27B59.3
Codingo1-proNot measuredMarginNo overlapQwen3.6-27B77.5
Matho1-proNot measuredMarginNo overlapQwen3.6-27B89.2
Multimodalo1-proNot measuredMarginNo overlapQwen3.6-27B76.7

Decisive benchmark drivers

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

More
A · o1-proB · Qwen3.6-27B
  1. GPQA

    Knowledge
    Source ↗
    A 79%B 87.8%
    Winner: Qwen3.6-27BΔ 8.8
    GPQA: o1-pro scored 79%; Qwen3.6-27B scored 87.8%. Qwen3.6-27B wins this benchmark.

Operational comparison

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

Metrico1-proQwen3.6-27BComparison
Input / output priceUSD per 1M tokenso1-pro$150 input / $600 outputQwen3.6-27B$0 input / $0 outputQwen3.6-27B has the lower combined listed price.
Generation speedtokens per secondo1-proNot availableQwen3.6-27BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokeno1-proNot availableQwen3.6-27BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokenso1-pro200KQwen3.6-27B262KQwen3.6-27B lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmarko1-proQwen3.6-27BResult
Terminal-Bench 2.0Source 59.3%Not comparable
Claw-EvalSource 72.4%Not comparable
QwenClawBenchSource 53.4%Not comparable
QwenWebBenchSource 1487Not comparable
AndroidWorldSource 70.3%Not comparable
AA Agentic IndexSource 27.0%Not comparable
τ²-bench resultsSource 94.2%Not comparable
GDPval-AASource 32.0%Not comparable
GDPval-AASource 1140Not comparable
Gert LabsSource 54.84%Not comparable
Coding
Benchmarko1-proQwen3.6-27BResult
SWE-bench VerifiedSource 77.2%Not comparable
SWE MultilingualSource 71.3%Not comparable
SWE-bench ProSource 53.5%Not comparable
Terminal-Bench 2.0Source 59.3%Not comparable
LiveCodeBenchSource 83.9%Not comparable
NL2RepoSource 36.2%Not comparable
AA Coding IndexSource 53.7%Not comparable
AA-SciCodeSource 39.8%Not comparable
Reasoning
Benchmarko1-proQwen3.6-27BResult
AA-LCRSource 68.7%Not comparable
CritPtSource 1.1%Not comparable
Knowledgeo1-pro wins
Benchmarko1-proQwen3.6-27BResult
GPQASource 79%87.8%Qwen3.6-27B leads
Artificial Analysis Intelligence IndexSource 18.9%37.0%Qwen3.6-27B leads
MMLU-ProSource 86.2%Not comparable
MMLU-ReduxSource 93.5%Not comparable
SuperGPQASource 66%Not comparable
C-EvalSource 91.4%Not comparable
HLESource 24%Not comparable
AA-GPQA DiamondSource 84.2%Not comparable
AA-HLESource 21.6%Not comparable
AA-Omniscience IndexSource -19.8%Not comparable
AA-Omniscience AccuracySource 19.2%Not comparable
AA-Omniscience Hallucination RateSource 48.3%Not comparable
Math
Benchmarko1-proQwen3.6-27BResult
HMMT Feb 2025Source 93.8%Not comparable
HMMT Nov 2025Source 90.7%Not comparable
HMMT Feb 2026Source 84.3%Not comparable
MMAnswerBenchSource 80.8%Not comparable
AIME26Source 94.1%Not comparable
Multimodal
Benchmarko1-proQwen3.6-27BResult
MMMUSource 82.9%Not comparable
MMMU-ProSource 75.8%Not comparable
RealWorldQASource 84.1%Not comparable
DynaMathSource 85.6%Not comparable
MStarSource 81.4%Not comparable
SimpleVQASource 56.1%Not comparable
CharXivSource 78.4%Not comparable
CC-OCRSource 81.2%Not comparable
CountBenchSource 97.8%Not comparable
RefCOCO (avg)Source 92.5%Not comparable
ERQASource 62.5%Not comparable
Video-MME (with subtitle)Source 87.7%Not comparable
VideoMMMUSource 84.4%Not comparable
MLVU (M-Avg)Source 86.6%Not comparable
V*Source 94.7%Not comparable
AA-MMMU-ProSource 74.6%Not comparable
Inst. Following
Benchmarko1-proQwen3.6-27BResult
AA-IFBenchSource 67.6%Not comparable
Frequently Asked Questions (2)

Which is better, o1-pro or Qwen3.6-27B?

Qwen3.6-27B is ahead on BenchLM's BenchAlign leaderboard, 53.82 to 45.94. The biggest single separator in this matchup is GPQA, where the scores are 79% and 87.8%.

Which is better for knowledge tasks, o1-pro or Qwen3.6-27B?

o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 53.3. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

o1-pro
API / mo$562,500
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Qwen3.6-27B
API / mo$0
Self-host / mo$429
Break-even
Model the full break-even

Related Comparisons

Last updated: July 21, 2026

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