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Model comparison

o3-pro vs Qwen3.5 397B (Reasoning)

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
48.33/100
Margin
11.2pts
winning →
59.5/100
0 category wins0 category wins

Public leaderboard positions: o3-pro #127 (Supported); Qwen3.5 397B (Reasoning) #56 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o3-pro and Qwen3.5 397B (Reasoning) share 2 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to o3-pro; 15 to Qwen3.5 397B (Reasoning).

Updated July 20, 2026
Shared results
2
o3-pro only
0
Qwen3.5 397B (Reasoning) only
15
Comparable categories
0 / 8

Benchmark data for o3-pro and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results 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.

o3-pro is priced at $20.00 input / $80.00 output per 1M tokens, versus $0.60 input / $3.60 output per 1M tokens for Qwen3.5 397B (Reasoning). o3-pro has the larger context window at 200K, compared with 128K for Qwen3.5 397B (Reasoning).

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Operational comparison

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

Metrico3-proQwen3.5 397B (Reasoning)Comparison
Input / output priceUSD per 1M tokenso3-pro$20 input / $80 outputQwen3.5 397B (Reasoning)$0.6 input / $3.6 outputQwen3.5 397B (Reasoning) has the lower combined listed price.
Generation speedtokens per secondo3-pro27 tok/sQwen3.5 397B (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokeno3-pro84.93 sQwen3.5 397B (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokenso3-pro200KQwen3.5 397B (Reasoning)128Ko3-pro lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmarko3-proQwen3.5 397B (Reasoning)Result
AA Agentic IndexSource 19.9%Not comparable
APEX-Agents-AASource 15.3%Not comparable
τ²-bench resultsSource 95.6%Not comparable
GDPval-AASource 23.1%Not comparable
GDPval-AASource 962Not comparable
Coding
Benchmarko3-proQwen3.5 397B (Reasoning)Result
AA Coding IndexSource 48.2%Not comparable
AA-SciCodeSource 42.0%Not comparable
Reasoning
Benchmarko3-proQwen3.5 397B (Reasoning)Result
AA-LCRSource 65.7%Not comparable
CritPtSource 1.7%Not comparable
Knowledge
Benchmarko3-proQwen3.5 397B (Reasoning)Result
Artificial Analysis Intelligence IndexSource 32.5%33.7%Qwen3.5 397B (Reasoning) leads
AA-GPQA DiamondSource 84.5%89.3%Qwen3.5 397B (Reasoning) leads
AA-HLESource 27.3%Not comparable
AA-Omniscience IndexSource -29.8%Not comparable
AA-Omniscience AccuracySource 31.4%Not comparable
AA-Omniscience Hallucination RateSource 89.1%Not comparable
Multimodal
Benchmarko3-proQwen3.5 397B (Reasoning)Result
AA-MMMU-ProSource 77.3%Not comparable
Inst. Following
Benchmarko3-proQwen3.5 397B (Reasoning)Result
AA-IFBenchSource 78.8%Not comparable
Frequently Asked Questions (3)

Can I compare o3-pro and Qwen3.5 397B (Reasoning) 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 o3-pro and Qwen3.5 397B (Reasoning) today?

o3-pro: $20.00 input / $80.00 output per 1M tokens Qwen3.5 397B (Reasoning): $0.60 input / $3.60 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 20, 2026

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