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Nova Pro 1.0 vs Qwen3 Coder 480B A35B

Qwen3 Coder 480B A35B leads Nova Pro 1.0 on the Artificial Analysis Intelligence Index, 11.9 to 7.0, and Qwen3 Coder 480B A35B costs 2.1x less per output token ($1.50 vs $3.20 per million). Updated October 21, 2026; 39 benchmarks have a result for both.

Replace Nova Pro 1.0 Replace Qwen3 Coder 480B A35B
Nova Pro 1.0Amazon
Coding
No data
Overall
7.0
Output $/M
$3.20
0
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
11.9
Output $/M
$1.50
39
vs boards won of 39 shared

Nova Pro 1.0 or Qwen3 Coder 480B A35B: 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 LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model ANova Pro 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 Coder 480B A35BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
39
Nova Pro 1.0 only
3
Qwen3 Coder 480B A35B only
13
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 Coder 480B A35B not benchmarked.
Widest category
Web design, 45.4 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: websites: Nova Pro 1.0 796 against Qwen3 Coder 480B A35B 1159, 45.4 points apart on a 0 to 100 scale.
Output price
Nova Pro 1.0 $3.20 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 2.1x apart.
Context window
Nova Pro 1.0 takes 300K tokens, Qwen3 Coder 480B A35B 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 Coder 480B A35BTies
Coding04
Intelligence01
Agentic work01
Reasoning05
Math04
Knowledge05
Web design01
General018
All shared boards039
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova Pro 1.0 and Qwen3 Coder 480B A35B
BenchmarkNova Pro 1.0Qwen3 Coder 480B A35BLeader
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B measured
LiveCodeBench (Artificial Analysis run)23.3%58.5%Qwen3 Coder 480B A35B
Terminal-Bench Hard (Artificial Analysis run)6.1%18.9%Qwen3 Coder 480B A35B
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdMLNot measured41.2%Only Qwen3 Coder 480B A35B measured
ALE-BenchNot measured461.4Only Qwen3 Coder 480B A35B measured
LMArena Text: coding12701412Qwen3 Coder 480B A35B
LMArena Text: software and IT12711393Qwen3 Coder 480B A35B
LMArena WebDev: ReactNot measured1257Only Qwen3 Coder 480B A35B measured
LMArena WebDev: HTMLNot measured1287Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Pro 1.0 and Qwen3 Coder 480B A35B
BenchmarkNova Pro 1.0Qwen3 Coder 480B A35BLeader
AA Intelligence Index7.011.9Qwen3 Coder 480B A35B
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nova Pro 1.0 and Qwen3 Coder 480B A35B
BenchmarkNova Pro 1.0Qwen3 Coder 480B A35BLeader
τ²-Bench Telecom14.0%43.6%Qwen3 Coder 480B A35B
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Nova Pro 1.0 and Qwen3 Coder 480B A35B
BenchmarkNova Pro 1.0Qwen3 Coder 480B A35BLeader
GPQA Diamond (Artificial Analysis run)49.9%61.8%Qwen3 Coder 480B A35B
Humanity's Last Exam (Artificial Analysis run)3.2%4.5%Qwen3 Coder 480B A35B
LMArena Text: hard prompts12461372Qwen3 Coder 480B A35B
LMArena Text: expert12111338Qwen3 Coder 480B A35B
LMArena Text: hard prompts in English12591380Qwen3 Coder 480B A35B
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Nova Pro 1.0 and Qwen3 Coder 480B A35B
BenchmarkNova Pro 1.0Qwen3 Coder 480B A35BLeader
AA Math Index7.039.3Qwen3 Coder 480B A35B
AIME 2025 (Artificial Analysis run)7.0%39.3%Qwen3 Coder 480B A35B
LMArena Text: math12521365Qwen3 Coder 480B A35B
LMArena Text: mathematical work12611367Qwen3 Coder 480B A35B
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Nova Pro 1.0 and Qwen3 Coder 480B A35B
BenchmarkNova Pro 1.0Qwen3 Coder 480B A35BLeader
MMLU Pro (Artificial Analysis run)69.1%78.8%Qwen3 Coder 480B A35B
MMLU82.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: science12551347Qwen3 Coder 480B A35B
LMArena Text: medicine and healthcare12601347Qwen3 Coder 480B A35B
LMArena Text: legal and government12811358Qwen3 Coder 480B A35B
LMArena Text: business and finance12291343Qwen3 Coder 480B A35B
Neither model has a result on the other 11 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 Coder 480B A35B
BenchmarkNova Pro 1.0Qwen3 Coder 480B A35BLeader
Design Arena: websites7961159Qwen3 Coder 480B A35B
Design Arena: UI componentsNot measured1113Only Qwen3 Coder 480B A35B measured
Design Arena: game devNot measured1099Only Qwen3 Coder 480B A35B measured
Design Arena: data vizNot measured1084Only Qwen3 Coder 480B A35B measured
Design Arena: all code categoriesNot measured1143Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Nova Pro 1.0 and Qwen3 Coder 480B A35B
BenchmarkNova Pro 1.0Qwen3 Coder 480B A35BLeader
IFBench38.1%40.5%Qwen3 Coder 480B A35B
Long context reasoning (AA-LCR)21.0%45.7%Qwen3 Coder 480B A35B
LMArena Text12591357Qwen3 Coder 480B A35B
LMArena Text: instruction following12351355Qwen3 Coder 480B A35B
LMArena Text: creative writing12121333Qwen3 Coder 480B A35B
LMArena Vision980Not measuredOnly Nova Pro 1.0 measured
LMArena Text: English12761359Qwen3 Coder 480B A35B
LMArena Text: non-English12331346Qwen3 Coder 480B A35B
LMArena Text: Chinese12441357Qwen3 Coder 480B A35B
LMArena Text: German12431325Qwen3 Coder 480B A35B
LMArena Text: Japanese12001311Qwen3 Coder 480B A35B
LMArena Text: Korean12031305Qwen3 Coder 480B A35B
LMArena Text: French12711398Qwen3 Coder 480B A35B
LMArena Text: Spanish11821360Qwen3 Coder 480B A35B
LMArena Text: Russian12401366Qwen3 Coder 480B A35B
LMArena Text: PolishNot measured1344Only Qwen3 Coder 480B A35B measured
LMArena Text: multi-turn12461366Qwen3 Coder 480B A35B
LMArena Text: longer queries12551378Qwen3 Coder 480B A35B
LMArena Text: writing and language12471340Qwen3 Coder 480B A35B
LMArena Text: entertainment and media12101317Qwen3 Coder 480B A35B
LMArena Vision: English987Not measuredOnly Nova Pro 1.0 measured
Neither model has a result on the other 25 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 Coder 480B A35B
BenchmarkNova Pro 1.0Qwen3 Coder 480B A35BLeader
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 Coder 480B A35B$0.0010Fits in one request

Qwen3 Coder 480B A35B costs less

Repository review

50K input + 3K output tokens

Nova Pro 1.0$0.050Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

Qwen3 Coder 480B A35B costs less

Agent loop

200K input + 10K output tokens

Nova Pro 1.0$0.192Fits in one request
Qwen3 Coder 480B A35B$0.075Fits in one request

Qwen3 Coder 480B A35B 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 Coder 480B A35B
SpecificationAmazon Nova Pro 1.0Qwen3 Coder 480B A35B
MakerAmazonQwen
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024July 23, 2025
Context window300K262K
Input $/Mtok$0.80$0.30
Output $/Mtok$3.20$1.50
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 Coder 480B A35B 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 LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Nova Pro 1.0 or Qwen3 Coder 480B A35B?

Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Pro 1.0 or Qwen3 Coder 480B A35B?

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

How many benchmarks is the Nova Pro 1.0 vs Qwen3 Coder 480B A35B comparison based on?

39 benchmarks have a result for both models as of October 21, 2026. Nova Pro 1.0's coding index rests on 0 independent benchmarks and Qwen3 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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