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Model comparison

GPT-4o vs Qwen3.5 397B (Reasoning)

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
41.49/100
Margin
18.0pts
winning →
59.5/100
0 category wins0 category wins

Public leaderboard positions: GPT-4o #165 (Supported); Qwen3.5 397B (Reasoning) #56 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4o and Qwen3.5 397B (Reasoning) share 11 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to GPT-4o; 6 to Qwen3.5 397B (Reasoning).

Updated July 20, 2026
Shared results
11
GPT-4o only
2
Qwen3.5 397B (Reasoning) only
6
Comparable categories
0 / 8

Benchmark data for GPT-4o and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 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.

GPT-4o is priced at $2.50 input / $10.00 output per 1M tokens, versus $0.60 input / $3.60 output per 1M tokens 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 GPT-4o and Qwen3.5 397B (Reasoning)
CategoryGPT-4oΔQwen3.5 397B (Reasoning)
MathGPT-4o0.3MarginNo overlapQwen3.5 397B (Reasoning)Not measured

Operational comparison

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

MetricGPT-4oQwen3.5 397B (Reasoning)Comparison
Input / output priceUSD per 1M tokensGPT-4o$2.5 input / $10 outputQwen3.5 397B (Reasoning)$0.6 input / $3.6 outputQwen3.5 397B (Reasoning) has the lower combined listed price.
Generation speedtokens per secondGPT-4o131 tok/sQwen3.5 397B (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-4o0.81 sQwen3.5 397B (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-4o128KQwen3.5 397B (Reasoning)128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4oQwen3.5 397B (Reasoning)Result
τ²-bench resultsSource 25.1%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
BenchmarkGPT-4oQwen3.5 397B (Reasoning)Result
AA-SciCodeSource 33.3%42.0%Qwen3.5 397B (Reasoning) leads
AA Coding IndexSource 48.2%Not comparable
Reasoning
BenchmarkGPT-4oQwen3.5 397B (Reasoning)Result
AA-LCRSource 0.0%65.7%Qwen3.5 397B (Reasoning) leads
CritPtSource 0.0%1.7%Qwen3.5 397B (Reasoning) leads
Knowledge
BenchmarkGPT-4oQwen3.5 397B (Reasoning)Result
Artificial Analysis Intelligence IndexSource 11.2%33.7%Qwen3.5 397B (Reasoning) leads
AA-GPQA DiamondSource 54.3%89.3%Qwen3.5 397B (Reasoning) leads
AA-HLESource 3.3%27.3%Qwen3.5 397B (Reasoning) leads
AA-Omniscience IndexSource -10.7%-29.8%GPT-4o leads
AA-Omniscience AccuracySource 19.7%31.4%Qwen3.5 397B (Reasoning) leads
AA-Omniscience Hallucination RateSource 37.9%89.1%GPT-4o leads
Math
BenchmarkGPT-4oQwen3.5 397B (Reasoning)Result
FrontierMath v2 (Tiers 1-3)Source 0.345%Not comparable
Multimodal
BenchmarkGPT-4oQwen3.5 397B (Reasoning)Result
Design Arena WebsiteSource 864Not comparable
AA-MMMU-ProSource 77.3%Not comparable
Inst. Following
BenchmarkGPT-4oQwen3.5 397B (Reasoning)Result
AA-IFBenchSource 34.3%78.8%Qwen3.5 397B (Reasoning) leads
Frequently Asked Questions (3)

Can I compare GPT-4o 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 GPT-4o and Qwen3.5 397B (Reasoning) today?

GPT-4o: $2.50 input / $10.00 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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