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Model comparison

o1 vs Qwen3.5 397B (Reasoning)

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
47.14/100
Margin
11.6pts
winning →
58.76/100
0 category wins0 category wins

Public leaderboard positions: o1 #136 (Estimated); Qwen3.5 397B (Reasoning) #60 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o1 and Qwen3.5 397B (Reasoning) share 12 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to o1; 5 to Qwen3.5 397B (Reasoning).

Updated July 24, 2026
Shared results
12
o1 only
4
Qwen3.5 397B (Reasoning) only
5
Comparable categories
0 / 8

Benchmark data for o1 and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 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.

o1 is priced at $15.00 input / $60.00 output per 1M tokens, versus $0.60 input / $3.60 output per 1M tokens for Qwen3.5 397B (Reasoning). o1 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.

Category scores and score margins for o1 and Qwen3.5 397B (Reasoning)
Categoryo1ΔQwen3.5 397B (Reasoning)
Knowledgeo175.7MarginNo overlapQwen3.5 397B (Reasoning)Not measured
Matho19.3MarginNo overlapQwen3.5 397B (Reasoning)Not measured
Inst. Followingo192.2MarginNo overlapQwen3.5 397B (Reasoning)Not measured

Operational comparison

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

Metrico1Qwen3.5 397B (Reasoning)Comparison
Input / output priceUSD per 1M tokenso1$15 input / $60 outputQwen3.5 397B (Reasoning)$0.6 input / $3.6 outputQwen3.5 397B (Reasoning) has the lower combined listed price.
Generation speedtokens per secondo198 tok/sQwen3.5 397B (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokeno132.29 sQwen3.5 397B (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokenso1200KQwen3.5 397B (Reasoning)128Ko1 lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmarko1Qwen3.5 397B (Reasoning)Result
τ²-bench resultsSource 62.6%95.6%Qwen3.5 397B (Reasoning) leads
AA Agentic IndexSource 19.9%Not comparable
APEX-Agents-AASource 15.3%Not comparable
GDPval-AASource 23.1%Not comparable
GDPval-AASource 962Not comparable
Coding
Benchmarko1Qwen3.5 397B (Reasoning)Result
AA Coding IndexSource 39.7%48.2%Qwen3.5 397B (Reasoning) leads
AA-SciCodeSource 35.8%42.0%Qwen3.5 397B (Reasoning) leads
Reasoning
Benchmarko1Qwen3.5 397B (Reasoning)Result
AA-LCRSource 59.3%65.7%Qwen3.5 397B (Reasoning) leads
CritPtSource 0.3%1.7%Qwen3.5 397B (Reasoning) leads
Knowledge
Benchmarko1Qwen3.5 397B (Reasoning)Result
MMLUSource 91.8%Not comparable
GPQASource 75.7%Not comparable
Artificial Analysis Intelligence IndexSource 23.4%33.7%Qwen3.5 397B (Reasoning) leads
AA-GPQA DiamondSource 74.7%89.3%Qwen3.5 397B (Reasoning) leads
AA-HLESource 7.7%27.3%Qwen3.5 397B (Reasoning) leads
AA-Omniscience IndexSource -10.5%-29.8%o1 leads
AA-Omniscience AccuracySource 34.7%31.4%o1 leads
AA-Omniscience Hallucination RateSource 69.3%89.1%o1 leads
Math
Benchmarko1Qwen3.5 397B (Reasoning)Result
FrontierMath v2 (Tiers 1-3)Source 9.310%Not comparable
Multimodal
Benchmarko1Qwen3.5 397B (Reasoning)Result
AA-MMMU-ProSource 77.3%Not comparable
Inst. Following
Benchmarko1Qwen3.5 397B (Reasoning)Result
IFEvalSource 92.2%Not comparable
AA-IFBenchSource 70.3%78.8%Qwen3.5 397B (Reasoning) leads
Frequently Asked Questions (3)

Can I compare o1 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 o1 and Qwen3.5 397B (Reasoning) today?

o1: $15.00 input / $60.00 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 24, 2026