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Qwen3 32B vs Qwen3 Coder 480B A35B

Qwen3 Coder 480B A35B leads Qwen3 32B on the Artificial Analysis Intelligence Index, 11.9 to 7.3, and Qwen3 32B costs 3.8x less per output token ($0.40 vs $1.50 per million). Updated October 21, 2026; 35 benchmarks have a result for both.

Qwen3 32BQwen
Coding
No data
Overall
40.8
Output $/M
$0.40
12
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
No data
Output $/M
$1.50
23
vs boards won of 35 shared

Qwen3 32B or Qwen3 Coder 480B A35B: which to pick

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

Pick Qwen3 32B for output tokens 3.8x cheaper ($0.40 vs $1.50 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Shared results
35
Qwen3 32B only
10
Qwen3 Coder 480B A35B only
18
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
Qwen3 32B not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Math, 20.4 points apart on average over 4 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Qwen3 32B 0.0% against Qwen3 Coder 480B A35B 45.7%, 45.7 points apart on a 0 to 100 scale.
Output price
Qwen3 32B $0.40 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 3.8x apart.
Context window
Qwen3 32B takes 131K 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
CategoryQwen3 32BBarsQwen3 Coder 480B A35BTies
Coding04
Intelligence01
Agentic work01
Reasoning33
Math40
Knowledge32
General212
All shared boards1223
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Qwen3 32B and Qwen3 Coder 480B A35B
BenchmarkQwen3 32BQwen3 Coder 480B A35BLeader
Aider polyglot40.0%Not measuredOnly Qwen3 32B measured
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B measured
LiveCodeBench (Artificial Analysis run)54.6%58.5%Qwen3 Coder 480B A35B
SciCode36.0%Not measuredOnly Qwen3 32B measured
Terminal-Bench Hard (Artificial Analysis run)3.0%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: coding13571412Qwen3 Coder 480B A35B
LMArena Text: software and IT13661393Qwen3 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 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3 32B and Qwen3 Coder 480B A35B
BenchmarkQwen3 32BQwen3 Coder 480B A35BLeader
AA Intelligence Index7.311.9Qwen3 Coder 480B A35B
Epoch Capabilities Index138.4Not measuredOnly Qwen3 32B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Qwen3 32B and Qwen3 Coder 480B A35B
BenchmarkQwen3 32BQwen3 Coder 480B A35BLeader
τ²-Bench Telecom29.8%43.6%Qwen3 Coder 480B A35B
Berkeley Function Calling Leaderboard (BFCL)48.7%Not measuredOnly Qwen3 32B measured
BrowseComp-Plus10.7%Not measuredOnly Qwen3 32B measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
Reasoning benchmarks for Qwen3 32B and Qwen3 Coder 480B A35B
BenchmarkQwen3 32BQwen3 Coder 480B A35BLeader
GPQA Diamond (Artificial Analysis run)66.8%61.8%Qwen3 32B
Humanity's Last Exam (Artificial Analysis run)7.4%4.5%Qwen3 32B
GPQA Diamond (Epoch AI run)65.7%Not measuredOnly Qwen3 32B measured
LMArena Text: hard prompts13341372Qwen3 Coder 480B A35B
LMArena Text: expert13621338Qwen3 32B
LMArena Text: hard prompts in English13501380Qwen3 Coder 480B A35B
Kagi LLM Benchmark48.7%49.5%Qwen3 Coder 480B A35B
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Qwen3 32B and Qwen3 Coder 480B A35B
BenchmarkQwen3 32BQwen3 Coder 480B A35BLeader
AA Math Index73.039.3Qwen3 32B
AIME 2025 (Artificial Analysis run)73.0%39.3%Qwen3 32B
OTIS Mock AIME66.9%Not measuredOnly Qwen3 32B measured
LMArena Text: math13991365Qwen3 32B
LMArena Text: mathematical work14201367Qwen3 32B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
Knowledge benchmarks for Qwen3 32B and Qwen3 Coder 480B A35B
BenchmarkQwen3 32BQwen3 Coder 480B A35BLeader
MMLU Pro (Artificial Analysis run)79.8%78.8%Qwen3 32B
LMArena Text: science13721347Qwen3 32B
LMArena Text: medicine and healthcare13681347Qwen3 32B
LMArena Text: legal and government13241358Qwen3 Coder 480B A35B
LMArena Text: business and finance13181343Qwen3 Coder 480B A35B
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Qwen3 32B and Qwen3 Coder 480B A35B
BenchmarkQwen3 32BQwen3 Coder 480B A35BLeader
Design Arena: websitesNot measured1159Only Qwen3 Coder 480B A35B measured
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 index212
General benchmarks for Qwen3 32B and Qwen3 Coder 480B A35B
BenchmarkQwen3 32BQwen3 Coder 480B A35BLeader
IFBench36.3%40.5%Qwen3 Coder 480B A35B
Long context reasoning (AA-LCR)0.0%45.7%Qwen3 Coder 480B A35B
DTBench67.5%Not measuredOnly Qwen3 32B measured
LMCA17.3%Not measuredOnly Qwen3 32B measured
Fiction.LiveBench74.2%Not measuredOnly Qwen3 32B measured
LMArena Text13401357Qwen3 Coder 480B A35B
LMArena Text: instruction following13051355Qwen3 Coder 480B A35B
LMArena Text: creative writing12971333Qwen3 Coder 480B A35B
LMArena Text: English13591359Qwen3 Coder 480B A35B
LMArena Text: non-English13171346Qwen3 Coder 480B A35B
LMArena Text: Chinese13571357Qwen3 32B
LMArena Text: German13411325Qwen3 32B
LMArena Text: JapaneseNot measured1311Only Qwen3 Coder 480B A35B measured
LMArena Text: KoreanNot measured1305Only Qwen3 Coder 480B A35B measured
LMArena Text: FrenchNot measured1398Only Qwen3 Coder 480B A35B measured
LMArena Text: SpanishNot measured1360Only Qwen3 Coder 480B A35B measured
LMArena Text: Russian13111366Qwen3 Coder 480B A35B
LMArena Text: PolishNot measured1344Only Qwen3 Coder 480B A35B measured
LMArena Text: multi-turn13311366Qwen3 Coder 480B A35B
LMArena Text: longer queries13271378Qwen3 Coder 480B A35B
LMArena Text: writing and language12981340Qwen3 Coder 480B A35B
LMArena Text: entertainment and media12791317Qwen3 Coder 480B A35B
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3 32B and Qwen3 Coder 480B A35B
BenchmarkQwen3 32BQwen3 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

Qwen3 32B$0.0003Fits in one request
Qwen3 Coder 480B A35B$0.0010Fits in one request

Qwen3 32B costs less

Repository review

50K input + 3K output tokens

Qwen3 32B$0.0082Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

Qwen3 32B costs less

Agent loop

200K input + 10K output tokens

Qwen3 32B$0.032Exceeds the context window
Qwen3 Coder 480B A35B$0.075Fits in one request

Qwen3 32B 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 Qwen3 32B and Qwen3 Coder 480B A35B
SpecificationQwen3 32BQwen3 Coder 480B A35B
MakerQwenQwen
WeightsOpen weightsOpen weights
ReleasedApril 28, 2025July 23, 2025
Context window131K262K
Input $/Mtok$0.14$0.30
Output $/Mtok$0.40$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3 32B better than Qwen3 Coder 480B A35B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 32B for output tokens 3.8x cheaper ($0.40 vs $1.50 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Qwen3 32B or Qwen3 Coder 480B A35B?

Qwen3 32B costs $0.14 per million input tokens and $0.40 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, Qwen3 32B or Qwen3 Coder 480B A35B?

Qwen3 Coder 480B A35B, with 262K tokens against 131K.

How many benchmarks is the Qwen3 32B vs Qwen3 Coder 480B A35B comparison based on?

35 benchmarks have a result for both models as of October 21, 2026. Qwen3 32B'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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