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Model comparison

Qwen3.5 397B (Reasoning) vs Step 3.7 Flash

Data verified

Head-to-head evidence from 18 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

59.21/100
Margin
8.5pts
← winning
50.76/100
0 category wins0 category wins

BenchAlign evidence: Qwen3.5 397B (Reasoning) estimated; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.5 397B (Reasoning) and Step 3.7 Flash share 18 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Qwen3.5 397B (Reasoning); 12 to Step 3.7 Flash.

Updated July 16, 2026
Shared results
18
Qwen3.5 397B (Reasoning) only
0
Step 3.7 Flash only
12
Comparable categories
0 / 8

Benchmark data for Qwen3.5 397B (Reasoning) and Step 3.7 Flash is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 6 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.

Qwen3.5 397B (Reasoning) is priced at $0.60 input / $3.60 output per 1M tokens, versus $0.20 input / $1.15 output per 1M tokens for Step 3.7 Flash. Step 3.7 Flash has the larger context window at 256K, 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 Qwen3.5 397B (Reasoning) and Step 3.7 Flash
CategoryQwen3.5 397B (Reasoning)ΔStep 3.7 Flash
AgenticQwen3.5 397B (Reasoning)Not measuredMarginNo overlapStep 3.7 Flash66.4
CodingQwen3.5 397B (Reasoning)Not measuredMarginNo overlapStep 3.7 Flash56.3

Operational comparison

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

MetricQwen3.5 397B (Reasoning)Step 3.7 FlashComparison
Input / output priceUSD per 1M tokensQwen3.5 397B (Reasoning)$0.6 input / $3.6 outputStep 3.7 Flash$0.2 input / $1.15 outputStep 3.7 Flash has the lower combined listed price.
Generation speedtokens per secondQwen3.5 397B (Reasoning)Not availableStep 3.7 FlashNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.5 397B (Reasoning)Not availableStep 3.7 FlashNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.5 397B (Reasoning)128KStep 3.7 Flash256KStep 3.7 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkQwen3.5 397B (Reasoning)Step 3.7 FlashResult
AA Agentic IndexSource 19.9%21.5%Step 3.7 Flash leads
APEX-Agents-AASource 15.3%14.8%Qwen3.5 397B (Reasoning) leads
τ²-bench resultsSource 95.6%98.5%Step 3.7 Flash leads
GDPval-AASource 23.1%25.9%Step 3.7 Flash leads
GDPval-AASource 9621017Step 3.7 Flash leads
Terminal-Bench 2.0Source 59.5%Not comparable
BrowseCompSource 75.8%Not comparable
DeepSearchQASource 92.8%Not comparable
ToolathlonSource 49.5%Not comparable
Claw-EvalSource 67.1%Not comparable
HLE w/ toolsSource 47.2%Not comparable
Gert LabsSource 51.57%Not comparable
Coding
BenchmarkQwen3.5 397B (Reasoning)Step 3.7 FlashResult
AA Coding IndexSource 48.2%39.6%Qwen3.5 397B (Reasoning) leads
Terminal-Bench HardSource 40.9%35.6%Qwen3.5 397B (Reasoning) leads
AA-SciCodeSource 42.0%40.0%Qwen3.5 397B (Reasoning) leads
SWE-bench ProSource 56.3%Not comparable
Terminal-Bench 2.0Source 59.5%Not comparable
Reasoning
BenchmarkQwen3.5 397B (Reasoning)Step 3.7 FlashResult
AA-LCRSource 65.7%63.7%Qwen3.5 397B (Reasoning) leads
CritPtSource 1.7%2.3%Step 3.7 Flash leads
Knowledge
BenchmarkQwen3.5 397B (Reasoning)Step 3.7 FlashResult
Artificial Analysis Intelligence IndexSource 33.7%30.3%Qwen3.5 397B (Reasoning) leads
AA-GPQA DiamondSource 89.3%80.9%Qwen3.5 397B (Reasoning) leads
AA-HLESource 27.3%19.9%Qwen3.5 397B (Reasoning) leads
AA-Omniscience IndexSource -29.8%-37.5%Qwen3.5 397B (Reasoning) leads
AA-Omniscience AccuracySource 31.4%25.4%Qwen3.5 397B (Reasoning) leads
AA-Omniscience Hallucination RateSource 89.1%84.4%Step 3.7 Flash leads
Multimodal
BenchmarkQwen3.5 397B (Reasoning)Step 3.7 FlashResult
AA-MMMU-ProSource 77.3%75.3%Qwen3.5 397B (Reasoning) leads
SimpleVQASource 79.2%Not comparable
V*Source 95.3%Not comparable
Design Arena WebsiteSource 1218Not comparable
Inst. Following
BenchmarkQwen3.5 397B (Reasoning)Step 3.7 FlashResult
AA-IFBenchSource 78.8%67.3%Qwen3.5 397B (Reasoning) leads
Frequently Asked Questions (3)

Can I compare Qwen3.5 397B (Reasoning) and Step 3.7 Flash 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 Qwen3.5 397B (Reasoning) and Step 3.7 Flash today?

Qwen3.5 397B (Reasoning): $0.60 input / $3.60 output per 1M tokens Step 3.7 Flash: $0.20 input / $1.15 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 16, 2026

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