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Nova Pro 1.0 vs Qwen3 30B A3B

Qwen3 30B A3B leads Nova Pro 1.0 on the Artificial Analysis Intelligence Index, 7.6 to 7.0, and Qwen3 30B A3B costs 6.4x less per output token ($0.50 vs $3.20 per million). Updated October 21, 2026; 39 benchmarks have a result for both.

Replace Nova Pro 1.0 Replace Qwen3 30B A3B
Nova Pro 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$3.20
1
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
38
vs boards won of 39 shared

Nova Pro 1.0 or Qwen3 30B A3B: 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 41K 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 30B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
39
Nova Pro 1.0 only
3
Qwen3 30B A3B 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 30B A3B not benchmarked.
Widest category
Math, 41.2 points apart on average over 4 shared benchmarks.
Widest single gap
AIME 2025 (Artificial Analysis run): Nova Pro 1.0 7.0% against Qwen3 30B A3B 72.3%, 65.3 points apart on a 0 to 100 scale.
Output price
Nova Pro 1.0 $3.20 against Qwen3 30B A3B $0.50 per million output tokens, 6.4x apart.
Context window
Nova Pro 1.0 takes 300K tokens, Qwen3 30B A3B 41K.

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 30B A3BTies
Coding04
Intelligence01
Agentic work01
Reasoning05
Math04
Knowledge05
Web design01
General117
All shared boards138
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova Pro 1.0 and Qwen3 30B A3B
BenchmarkNova Pro 1.0Qwen3 30B A3BLeader
LiveCodeBench (Artificial Analysis run)23.3%50.6%Qwen3 30B A3B
Terminal-Bench Hard (Artificial Analysis run)6.1%6.8%Qwen3 30B A3B
WeirdMLNot measured29.8%Only Qwen3 30B A3B measured
LMArena Text: coding12701337Qwen3 30B A3B
LMArena Text: software and IT12711340Qwen3 30B A3B
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Pro 1.0 and Qwen3 30B A3B
BenchmarkNova Pro 1.0Qwen3 30B A3BLeader
AA Intelligence Index7.07.6Qwen3 30B A3B
Epoch Capabilities IndexNot measured137.3Only Qwen3 30B A3B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nova Pro 1.0 and Qwen3 30B A3B
BenchmarkNova Pro 1.0Qwen3 30B A3BLeader
τ²-Bench Telecom14.0%26.0%Qwen3 30B A3B
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Nova Pro 1.0 and Qwen3 30B A3B
BenchmarkNova Pro 1.0Qwen3 30B A3BLeader
GPQA Diamond (Artificial Analysis run)49.9%61.6%Qwen3 30B A3B
Humanity's Last Exam (Artificial Analysis run)3.2%6.2%Qwen3 30B A3B
GPQA Diamond (Epoch AI run)Not measured61.7%Only Qwen3 30B A3B measured
LMArena Text: hard prompts12461314Qwen3 30B A3B
LMArena Text: expert12111314Qwen3 30B A3B
LMArena Text: hard prompts in English12591329Qwen3 30B A3B
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 30B A3B
BenchmarkNova Pro 1.0Qwen3 30B A3BLeader
AA Math Index7.072.3Qwen3 30B A3B
AIME 2025 (Artificial Analysis run)7.0%72.3%Qwen3 30B A3B
OTIS Mock AIMENot measured62.8%Only Qwen3 30B A3B measured
LMArena Text: math12521355Qwen3 30B A3B
LMArena Text: mathematical work12611363Qwen3 30B A3B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Nova Pro 1.0 and Qwen3 30B A3B
BenchmarkNova Pro 1.0Qwen3 30B A3BLeader
MMLU Pro (Artificial Analysis run)69.1%77.7%Qwen3 30B A3B
MMLU82.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: science12551321Qwen3 30B A3B
LMArena Text: medicine and healthcare12601318Qwen3 30B A3B
LMArena Text: legal and government12811314Qwen3 30B A3B
LMArena Text: business and finance12291309Qwen3 30B A3B
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 30B A3B
BenchmarkNova Pro 1.0Qwen3 30B A3BLeader
Design Arena: websites796955Qwen3 30B A3B
Design Arena: UI componentsNot measured946Only Qwen3 30B A3B measured
Design Arena: game devNot measured899Only Qwen3 30B A3B measured
Design Arena: data vizNot measured967Only Qwen3 30B A3B measured
Design Arena: all code categoriesNot measured942Only Qwen3 30B A3B measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index117
General benchmarks for Nova Pro 1.0 and Qwen3 30B A3B
BenchmarkNova Pro 1.0Qwen3 30B A3BLeader
IFBench38.1%41.5%Qwen3 30B A3B
Long context reasoning (AA-LCR)21.0%0.0%Nova Pro 1.0
DTBenchNot measured60.3%Only Qwen3 30B A3B measured
LMCANot measured15.8%Only Qwen3 30B A3B measured
Fiction.LiveBenchNot measured40.6%Only Qwen3 30B A3B measured
Creative writing (Lech Mazur)Not measured75.3%Only Qwen3 30B A3B measured
LMArena Text12591317Qwen3 30B A3B
LMArena Text: instruction following12351283Qwen3 30B A3B
LMArena Text: creative writing12121271Qwen3 30B A3B
LMArena Vision980Not measuredOnly Nova Pro 1.0 measured
LMArena Text: English12761335Qwen3 30B A3B
LMArena Text: non-English12331295Qwen3 30B A3B
LMArena Text: Chinese12441347Qwen3 30B A3B
LMArena Text: German12431307Qwen3 30B A3B
LMArena Text: Japanese12001254Qwen3 30B A3B
LMArena Text: Korean12031261Qwen3 30B A3B
LMArena Text: French12711352Qwen3 30B A3B
LMArena Text: Spanish11821317Qwen3 30B A3B
LMArena Text: Russian12401291Qwen3 30B A3B
LMArena Text: PolishNot measured1299Only Qwen3 30B A3B measured
LMArena Text: multi-turn12461307Qwen3 30B A3B
LMArena Text: longer queries12551312Qwen3 30B A3B
LMArena Text: writing and language12471290Qwen3 30B A3B
LMArena Text: entertainment and media12101258Qwen3 30B A3B
LMArena Vision: English987Not measuredOnly Nova Pro 1.0 measured
Neither model has a result on the other 21 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 30B A3B
BenchmarkNova Pro 1.0Qwen3 30B A3BLeader
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 30B A3B$0.0004Fits in one request

Qwen3 30B A3B costs less

Repository review

50K input + 3K output tokens

Nova Pro 1.0$0.050Fits in one request
Qwen3 30B A3B$0.0075Exceeds the context window

Qwen3 30B A3B costs less

Agent loop

200K input + 10K output tokens

Nova Pro 1.0$0.192Fits in one request
Qwen3 30B A3B$0.029Exceeds the context window

Qwen3 30B A3B 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 30B A3B
SpecificationAmazon Nova Pro 1.0Qwen3 30B A3B
MakerAmazonQwen
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024April 28, 2025
Context window300K41K
Input $/Mtok$0.80$0.12
Output $/Mtok$3.20$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Pro 1.0 better than Qwen3 30B A3B 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 41K 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 30B A3B?

Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Pro 1.0 or Qwen3 30B A3B?

Nova Pro 1.0, with 300K tokens against 41K.

How many benchmarks is the Nova Pro 1.0 vs Qwen3 30B A3B 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 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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