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Nova Pro 1.0 vs Qwen3.5 397B A17B

Qwen3.5 397B A17B leads Nova Pro 1.0 on the Artificial Analysis Intelligence Index, 21.4 to 7.0, and Qwen3.5 397B A17B costs 1.4x less per output token ($2.34 vs $3.20 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Replace Nova Pro 1.0 Replace Qwen3.5 397B A17B
Nova Pro 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$3.20
0
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
37
vs boards won of 37 shared

Nova Pro 1.0 or Qwen3.5 397B A17B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Nova Pro 1.0 for a larger context window (300K against 262K tokens) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model ANova Pro 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5 397B A17BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
37
Nova Pro 1.0 only
5
Qwen3.5 397B A17B only
28
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Nova Pro 1.0 not benchmarked, Qwen3.5 397B A17B not benchmarked.
Widest category
Agentic work, 81.6 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Nova Pro 1.0 14.0% against Qwen3.5 397B A17B 95.6%, 81.6 points apart on a 0 to 100 scale.
Output price
Nova Pro 1.0 $3.20 against Qwen3.5 397B A17B $2.34 per million output tokens, 1.4x apart.
Context window
Nova Pro 1.0 takes 300K tokens, Qwen3.5 397B A17B 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryNova Pro 1.0BarsQwen3.5 397B A17BTies
Coding03
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
Web design01
General020
All shared boards037
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Nova Pro 1.0 and Qwen3.5 397B A17B
BenchmarkNova Pro 1.0Qwen3.5 397B A17BLeader
LMArena WebDevNot measured1400Only Qwen3.5 397B A17B measured
LiveCodeBench (Artificial Analysis run)23.3%Not measuredOnly Nova Pro 1.0 measured
SciCodeNot measured44.8%Only Qwen3.5 397B A17B measured
Terminal-Bench Hard (Artificial Analysis run)6.1%40.9%Qwen3.5 397B A17B
ALE-BenchNot measured621.9Only Qwen3.5 397B A17B measured
LMArena Text: coding12701464Qwen3.5 397B A17B
LMArena Text: software and IT12711463Qwen3.5 397B A17B
LMArena WebDev: ReactNot measured1388Only Qwen3.5 397B A17B measured
LMArena WebDev: HTMLNot measured1410Only Qwen3.5 397B A17B measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Pro 1.0 and Qwen3.5 397B A17B
BenchmarkNova Pro 1.0Qwen3.5 397B A17BLeader
AA Intelligence Index7.021.4Qwen3.5 397B A17B
Epoch Capabilities IndexNot measured146.8Only Qwen3.5 397B A17B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nova Pro 1.0 and Qwen3.5 397B A17B
BenchmarkNova Pro 1.0Qwen3.5 397B A17BLeader
τ²-Bench Telecom14.0%95.6%Qwen3.5 397B A17B
APEX-AgentsNot measured24.9%Only Qwen3.5 397B A17B measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Nova Pro 1.0 and Qwen3.5 397B A17B
BenchmarkNova Pro 1.0Qwen3.5 397B A17BLeader
GPQA Diamond (Artificial Analysis run)49.9%89.3%Qwen3.5 397B A17B
Humanity's Last Exam (Artificial Analysis run)3.2%29.0%Qwen3.5 397B A17B
GPQA Diamond (Epoch AI run)Not measured86.4%Only Qwen3.5 397B A17B measured
Mystery game puzzlesNot measured18.0%Only Qwen3.5 397B A17B measured
LMArena Text: hard prompts12461448Qwen3.5 397B A17B
LMArena Text: expert12111462Qwen3.5 397B A17B
LMArena Text: hard prompts in English12591450Qwen3.5 397B A17B
LMArena Vision: diagramsNot measured1277Only Qwen3.5 397B A17B measured
LMArena Vision: homeworkNot measured1292Only Qwen3.5 397B A17B measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova Pro 1.0 and Qwen3.5 397B A17B
BenchmarkNova Pro 1.0Qwen3.5 397B A17BLeader
AA Math Index7.0Not measuredOnly Nova Pro 1.0 measured
AIME 2025 (Artificial Analysis run)7.0%Not measuredOnly Nova Pro 1.0 measured
OTIS Mock AIMENot measured88.9%Only Qwen3.5 397B A17B measured
FrontierMath, tiers 1 to 3Not measured31.2%Only Qwen3.5 397B A17B measured
LMArena Text: math12521453Qwen3.5 397B A17B
LMArena Text: mathematical work12611454Qwen3.5 397B A17B
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Nova Pro 1.0 and Qwen3.5 397B A17B
BenchmarkNova Pro 1.0Qwen3.5 397B A17BLeader
MMLU Pro (Artificial Analysis run)69.1%Not measuredOnly Nova Pro 1.0 measured
MMLU82.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: science12551457Qwen3.5 397B A17B
LMArena Text: medicine and healthcare12601455Qwen3.5 397B A17B
LMArena Text: legal and government12811441Qwen3.5 397B A17B
LMArena Text: business and finance12291435Qwen3.5 397B A17B
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Nova Pro 1.0 and Qwen3.5 397B A17B
BenchmarkNova Pro 1.0Qwen3.5 397B A17BLeader
Design Arena: websites7961190Qwen3.5 397B A17B
Design Arena: UI componentsNot measured1160Only Qwen3.5 397B A17B measured
Design Arena: game devNot measured1140Only Qwen3.5 397B A17B measured
Design Arena: data vizNot measured1175Only Qwen3.5 397B A17B measured
Design Arena: 3DNot measured1160Only Qwen3.5 397B A17B measured
Design Arena: all code categoriesNot measured1179Only Qwen3.5 397B A17B measured
Design Arena: SVGNot measured1139Only Qwen3.5 397B A17B measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for Nova Pro 1.0 and Qwen3.5 397B A17B
BenchmarkNova Pro 1.0Qwen3.5 397B A17BLeader
IFBench38.1%78.8%Qwen3.5 397B A17B
Long context reasoning (AA-LCR)21.0%77.3%Qwen3.5 397B A17B
DTBenchNot measured87.5%Only Qwen3.5 397B A17B measured
LMCANot measured37.9%Only Qwen3.5 397B A17B measured
LMArena Text12591437Qwen3.5 397B A17B
LMArena Text: instruction following12351424Qwen3.5 397B A17B
LMArena Text: creative writing12121402Qwen3.5 397B A17B
LMArena Vision9801262Qwen3.5 397B A17B
LMArena Text: English12761443Qwen3.5 397B A17B
LMArena Text: non-English12331430Qwen3.5 397B A17B
LMArena Text: Chinese12441498Qwen3.5 397B A17B
LMArena Text: German12431445Qwen3.5 397B A17B
LMArena Text: Japanese12001429Qwen3.5 397B A17B
LMArena Text: Korean12031384Qwen3.5 397B A17B
LMArena Text: French12711462Qwen3.5 397B A17B
LMArena Text: Spanish11821441Qwen3.5 397B A17B
LMArena Text: Russian12401430Qwen3.5 397B A17B
LMArena Text: PolishNot measured1447Only Qwen3.5 397B A17B measured
LMArena Text: multi-turn12461446Qwen3.5 397B A17B
LMArena Text: longer queries12551441Qwen3.5 397B A17B
LMArena Text: writing and language12471415Qwen3.5 397B A17B
LMArena Text: entertainment and media12101399Qwen3.5 397B A17B
LMArena Vision: English9871268Qwen3.5 397B A17B
LMArena Vision: ChineseNot measured1314Only Qwen3.5 397B A17B measured
LMArena Vision: reading textNot measured1271Only Qwen3.5 397B A17B measured
LMArena Vision: humorNot measured1262Only Qwen3.5 397B A17B measured
LMArena Vision: captioningNot measured1230Only Qwen3.5 397B A17B measured
LMArena Vision: recognizing thingsNot measured1265Only Qwen3.5 397B A17B measured
LMArena Vision: creative writingNot measured1260Only Qwen3.5 397B A17B measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova Pro 1.0 and Qwen3.5 397B A17B
BenchmarkNova Pro 1.0Qwen3.5 397B A17BLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Nova Pro 1.0$0.0024Fits in one request
Qwen3.5 397B A17B$0.0016Fits in one request

Qwen3.5 397B A17B costs less

Repository review

50K input + 3K output tokens

Nova Pro 1.0$0.050Fits in one request
Qwen3.5 397B A17B$0.027Fits in one request

Qwen3.5 397B A17B costs less

Agent loop

200K input + 10K output tokens

Nova Pro 1.0$0.192Fits in one request
Qwen3.5 397B A17B$0.101Fits in one request

Qwen3.5 397B A17B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Nova Pro 1.0 and Qwen3.5 397B A17B
SpecificationAmazon Nova Pro 1.0Qwen3.5 397B A17B
MakerAmazonQwen
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024February 16, 2026
Context window300K262K
Input $/Mtok$0.80$0.39
Output $/Mtok$3.20$2.34
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Pro 1.0 better than Qwen3.5 397B A17B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Pro 1.0 for a larger context window (300K against 262K tokens) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, Nova Pro 1.0 or Qwen3.5 397B A17B?

Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Pro 1.0 or Qwen3.5 397B A17B?

Nova Pro 1.0, with 300K tokens against 262K.

How many benchmarks is the Nova Pro 1.0 vs Qwen3.5 397B A17B comparison based on?

37 benchmarks have a result for both models as of October 22, 2026. Nova Pro 1.0's coding index rests on 0 independent benchmarks and Qwen3.5 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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