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Model comparison

Nova Pro vs Qwen3.5 397B

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Amazon
20.32/100
Margin
36.7pts
winning →
57.01/100
0 category wins0 category wins

Public leaderboard positions: Nova Pro #196 (Supported); Qwen3.5 397B #71 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Nova Pro and Qwen3.5 397B share 12 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Nova Pro; 43 to Qwen3.5 397B.

Updated July 20, 2026
Shared results
12
Nova Pro only
0
Qwen3.5 397B only
43
Comparable categories
0 / 8

Benchmark data for Nova Pro and Qwen3.5 397B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 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.

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 Nova Pro and Qwen3.5 397B
CategoryNova ProΔQwen3.5 397B
AgenticNova ProNot measuredMarginNo overlapQwen3.5 397B56.5
CodingNova ProNot measuredMarginNo overlapQwen3.5 397B66.5
ReasoningNova ProNot measuredMarginNo overlapQwen3.5 397B63.2
KnowledgeNova ProNot measuredMarginNo overlapQwen3.5 397B56.6
MathNova ProNot measuredMarginNo overlapQwen3.5 397B90.6
MultilingualNova ProNot measuredMarginNo overlapQwen3.5 397B84.7
MultimodalNova ProNot measuredMarginNo overlapQwen3.5 397B79.6
Inst. FollowingNova ProNot measuredMarginNo overlapQwen3.5 397B92.6

Operational comparison

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

MetricNova ProQwen3.5 397BComparison
Input / output priceUSD per 1M tokensNova ProNot availableQwen3.5 397B$0.6 input / $3.6 outputA complete price comparison is not available.
Generation speedtokens per secondNova Pro141 tok/sQwen3.5 397B96 tok/sNova Pro has the higher measured throughput.
First-answer latencyseconds to first tokenNova Pro0.81 sQwen3.5 397B2.44 sNova Pro reaches the first token sooner.
Context windowmaximum listed tokensNova Pro128KQwen3.5 397B128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkNova ProQwen3.5 397BResult
τ²-bench resultsSource 14%95.6%Qwen3.5 397B leads
Terminal-Bench 2.0Source 52.5%Not comparable
BrowseCompSource 62%Not comparable
Claw-EvalSource 56.8%Not comparable
QwenClawBenchSource 51.8%Not comparable
τ³-bench resultsSource 68.4%Not comparable
VITA-BenchSource 43.7%Not comparable
DeepPlanningSource 37.6%Not comparable
ToolathlonSource 36.3%Not comparable
MCP AtlasSource 46.1%Not comparable
MCP-TasksSource 74.2%Not comparable
WideResearchSource 74.0%Not comparable
Gert LabsSource 46.76%Not comparable
ResearchClawBenchSource 14.2%Not comparable
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
BenchmarkNova ProQwen3.5 397BResult
AA-SciCodeSource 20.8%42.0%Qwen3.5 397B leads
SWE-bench VerifiedSource 76.2%Not comparable
LiveCodeBench v6Source 83.6%Not comparable
SWE-bench ProSource 50.9%Not comparable
AA Coding IndexSource 48.2%Not comparable
Reasoning
BenchmarkNova ProQwen3.5 397BResult
AA-LCRSource 19.0%65.7%Qwen3.5 397B leads
CritPtSource 0.0%1.7%Qwen3.5 397B leads
LongBench v2Source 63.2%Not comparable
AI-NeedleSource 68.7%Not comparable
Knowledge
BenchmarkNova ProQwen3.5 397BResult
Artificial Analysis Intelligence IndexSource 7.7%33.7%Qwen3.5 397B leads
AA-GPQA DiamondSource 49.9%89.3%Qwen3.5 397B leads
AA-HLESource 3.4%27.3%Qwen3.5 397B leads
AA-Omniscience IndexSource -47.6%-29.8%Qwen3.5 397B leads
AA-Omniscience AccuracySource 17.0%31.4%Qwen3.5 397B leads
AA-Omniscience Hallucination RateSource 77.9%89.1%Nova Pro leads
GPQASource 88.4%Not comparable
SuperGPQASource 70.4%Not comparable
MMLU-ProSource 87.8%Not comparable
MMLU-ReduxSource 94.9%Not comparable
C-EvalSource 93%Not comparable
HLESource 28.7%Not comparable
Math
BenchmarkNova ProQwen3.5 397BResult
AIME26Source 93.3%Not comparable
HMMT Feb 2025Source 94.8%Not comparable
HMMT Nov 2025Source 92.7%Not comparable
HMMT Feb 2026Source 87.9%Not comparable
MMAnswerBenchSource 80.9%Not comparable
Multilingual
BenchmarkNova ProQwen3.5 397BResult
MMLU-ProXSource 84.7%Not comparable
NOVA-63Source 59.1%Not comparable
Multimodal
BenchmarkNova ProQwen3.5 397BResult
AA-MMMU-ProSource 44.3%77.3%Qwen3.5 397B leads
MMMU-ProSource 79%Not comparable
MathVisionSource 88.6%Not comparable
CharXivSource 80.8%Not comparable
VideoMMMUSource 84.7%Not comparable
ScreenSpot ProSource 65.6%Not comparable
V*Source 95.8%Not comparable
Inst. Following
BenchmarkNova ProQwen3.5 397BResult
AA-IFBenchSource 38.1%78.8%Qwen3.5 397B leads
IFEvalSource 92.6%Not comparable
Frequently Asked Questions (3)

Can I compare Nova Pro and Qwen3.5 397B 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 Nova Pro and Qwen3.5 397B today?

Nova Pro: Pricing unavailable Qwen3.5 397B: $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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