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Nova Pro 1.0 vs Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct leads Nova Pro 1.0 on the Artificial Analysis Intelligence Index, 9.9 to 7.0, and Qwen3 VL 235B A22B Instruct costs 1.7x less per output token ($1.90 vs $3.20 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Nova Pro 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$3.20
0
Qwen3 VL 235B A22B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.90
40
vs boards won of 40 shared

Nova Pro 1.0 or Qwen3 VL 235B A22B Instruct: 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.

Shared results
40
Nova Pro 1.0 only
2
Qwen3 VL 235B A22B Instruct only
9
Like-for-like categories
7 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 VL 235B A22B Instruct not benchmarked.
Widest category
Math, 54.5 points apart on average over 4 shared benchmarks.
Widest single gap
AIME 2025 (Artificial Analysis run): Nova Pro 1.0 7.0% against Qwen3 VL 235B A22B Instruct 88.3%, 81.3 points apart on a 0 to 100 scale.
Output price
Nova Pro 1.0 $3.20 against Qwen3 VL 235B A22B Instruct $1.90 per million output tokens, 1.7x apart.
Context window
Nova Pro 1.0 takes 300K tokens, Qwen3 VL 235B A22B Instruct 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 VL 235B A22B InstructTies
Coding04
Intelligence01
Agentic work01
Reasoning05
Math04
Knowledge05
General020
All shared boards040
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova Pro 1.0 and Qwen3 VL 235B A22B Instruct
BenchmarkNova Pro 1.0Qwen3 VL 235B A22B InstructLeader
LiveCodeBench (Artificial Analysis run)23.3%64.6%Qwen3 VL 235B A22B Instruct
Terminal-Bench Hard (Artificial Analysis run)6.1%11.4%Qwen3 VL 235B A22B Instruct
LMArena Text: coding12701438Qwen3 VL 235B A22B Instruct
LMArena Text: software and IT12711442Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Pro 1.0 and Qwen3 VL 235B A22B Instruct
BenchmarkNova Pro 1.0Qwen3 VL 235B A22B InstructLeader
AA Intelligence Index7.09.9Qwen3 VL 235B A22B Instruct
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 VL 235B A22B Instruct
BenchmarkNova Pro 1.0Qwen3 VL 235B A22B InstructLeader
τ²-Bench Telecom14.0%54.1%Qwen3 VL 235B A22B Instruct
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 VL 235B A22B Instruct
BenchmarkNova Pro 1.0Qwen3 VL 235B A22B InstructLeader
GPQA Diamond (Artificial Analysis run)49.9%77.2%Qwen3 VL 235B A22B Instruct
Humanity's Last Exam (Artificial Analysis run)3.2%11.9%Qwen3 VL 235B A22B Instruct
LMArena Text: hard prompts12461428Qwen3 VL 235B A22B Instruct
LMArena Text: expert12111442Qwen3 VL 235B A22B Instruct
LMArena Text: hard prompts in English12591439Qwen3 VL 235B A22B Instruct
LMArena Vision: diagramsNot measured1255Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: homeworkNot measured1277Only Qwen3 VL 235B A22B Instruct measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Nova Pro 1.0 and Qwen3 VL 235B A22B Instruct
BenchmarkNova Pro 1.0Qwen3 VL 235B A22B InstructLeader
AA Math Index7.088.3Qwen3 VL 235B A22B Instruct
AIME 2025 (Artificial Analysis run)7.0%88.3%Qwen3 VL 235B A22B Instruct
LMArena Text: math12521425Qwen3 VL 235B A22B Instruct
LMArena Text: mathematical work12611419Qwen3 VL 235B A22B Instruct
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 VL 235B A22B Instruct
BenchmarkNova Pro 1.0Qwen3 VL 235B A22B InstructLeader
MMLU Pro (Artificial Analysis run)69.1%83.6%Qwen3 VL 235B A22B Instruct
MMLU82.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: science12551444Qwen3 VL 235B A22B Instruct
LMArena Text: medicine and healthcare12601431Qwen3 VL 235B A22B Instruct
LMArena Text: legal and government12811438Qwen3 VL 235B A22B Instruct
LMArena Text: business and finance12291433Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Nova Pro 1.0 and Qwen3 VL 235B A22B Instruct
BenchmarkNova Pro 1.0Qwen3 VL 235B A22B InstructLeader
Design Arena: websites796Not measuredOnly Nova Pro 1.0 measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for Nova Pro 1.0 and Qwen3 VL 235B A22B Instruct
BenchmarkNova Pro 1.0Qwen3 VL 235B A22B InstructLeader
IFBench38.1%56.5%Qwen3 VL 235B A22B Instruct
Long context reasoning (AA-LCR)21.0%63.7%Qwen3 VL 235B A22B Instruct
LMArena Text12591420Qwen3 VL 235B A22B Instruct
LMArena Text: instruction following12351406Qwen3 VL 235B A22B Instruct
LMArena Text: creative writing12121366Qwen3 VL 235B A22B Instruct
LMArena Vision9801247Qwen3 VL 235B A22B Instruct
LMArena Text: English12761429Qwen3 VL 235B A22B Instruct
LMArena Text: non-English12331405Qwen3 VL 235B A22B Instruct
LMArena Text: Chinese12441463Qwen3 VL 235B A22B Instruct
LMArena Text: German12431424Qwen3 VL 235B A22B Instruct
LMArena Text: Japanese12001385Qwen3 VL 235B A22B Instruct
LMArena Text: Korean12031394Qwen3 VL 235B A22B Instruct
LMArena Text: French12711452Qwen3 VL 235B A22B Instruct
LMArena Text: Spanish11821428Qwen3 VL 235B A22B Instruct
LMArena Text: Russian12401408Qwen3 VL 235B A22B Instruct
LMArena Text: PolishNot measured1419Only Qwen3 VL 235B A22B Instruct measured
LMArena Text: multi-turn12461428Qwen3 VL 235B A22B Instruct
LMArena Text: longer queries12551419Qwen3 VL 235B A22B Instruct
LMArena Text: writing and language12471392Qwen3 VL 235B A22B Instruct
LMArena Text: entertainment and media12101368Qwen3 VL 235B A22B Instruct
LMArena Vision: English9871256Qwen3 VL 235B A22B Instruct
LMArena Vision: ChineseNot measured1283Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: reading textNot measured1253Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: humorNot measured1209Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: captioningNot measured1281Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: recognizing thingsNot measured1249Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: creative writingNot measured1220Only Qwen3 VL 235B A22B Instruct measured
Neither model has a result on the other 19 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 VL 235B A22B Instruct
BenchmarkNova Pro 1.0Qwen3 VL 235B A22B InstructLeader
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 VL 235B A22B Instruct$0.0012Fits in one request

Qwen3 VL 235B A22B Instruct costs less

Repository review

50K input + 3K output tokens

Nova Pro 1.0$0.050Fits in one request
Qwen3 VL 235B A22B Instruct$0.016Fits in one request

Qwen3 VL 235B A22B Instruct costs less

Agent loop

200K input + 10K output tokens

Nova Pro 1.0$0.192Fits in one request
Qwen3 VL 235B A22B Instruct$0.061Fits in one request

Qwen3 VL 235B A22B Instruct 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 VL 235B A22B Instruct
SpecificationAmazon Nova Pro 1.0Qwen3 VL 235B A22B Instruct
MakerAmazonQwen
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024September 23, 2025
Context window300K262K
Input $/Mtok$0.80$0.21
Output $/Mtok$3.20$1.90
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 VL 235B A22B Instruct 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 VL 235B A22B Instruct?

Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 per million output tokens; Qwen3 VL 235B A22B Instruct costs $0.21 and $1.90. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Pro 1.0 or Qwen3 VL 235B A22B Instruct?

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

How many benchmarks is the Nova Pro 1.0 vs Qwen3 VL 235B A22B Instruct comparison based on?

40 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 VL 235B A22B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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