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gpt-oss-20b vs Qwen3 30B A3B

gpt-oss-20b leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 10.0 to 7.6, and gpt-oss-20b costs 3.3x less per output token ($0.15 vs $0.50 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

Replace gpt-oss-20b Replace Qwen3 30B A3B
gpt-oss-20bOpenAI
Coding
No data
Overall
38.5
Output $/M
$0.15
14
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
32
vs boards won of 46 shared

gpt-oss-20b or Qwen3 30B A3B: which to pick

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

Pick gpt-oss-20b for output tokens 3.3x cheaper ($0.15 vs $0.50 per million) and a larger context window (131K against 41K tokens).

Model Agpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 30B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
46
gpt-oss-20b only
16
Qwen3 30B A3B only
6
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
gpt-oss-20b not benchmarked, Qwen3 30B A3B not benchmarked.
Widest category
Agentic work, 34.2 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): gpt-oss-20b 34.7% against Qwen3 30B A3B 0.0%, 34.7 points apart on a 0 to 100 scale.
Output price
gpt-oss-20b $0.15 against Qwen3 30B A3B $0.50 per million output tokens, 3.3x apart.
Context window
gpt-oss-20b takes 131K 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
Categorygpt-oss-20bBarsQwen3 30B A3BTies
Coding32
Intelligence20
Agentic work10
Reasoning24
Math32
Knowledge05
Web design02
General317
All shared boards1432
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for gpt-oss-20b and Qwen3 30B A3B
Benchmarkgpt-oss-20bQwen3 30B A3BLeader
LiveCodeBench (Vals AI)80.4%Not measuredOnly gpt-oss-20b measured
LiveCodeBench (Artificial Analysis run)77.7%50.6%gpt-oss-20b
SciCode38.9%Not measuredOnly gpt-oss-20b measured
Terminal-Bench Hard (Artificial Analysis run)10.6%6.8%gpt-oss-20b
Terminal-Bench3.4%Not measuredOnly gpt-oss-20b measured
WeirdML40.9%29.8%gpt-oss-20b
ALE-Bench566.0Not measuredOnly gpt-oss-20b measured
LMArena Text: coding13071337Qwen3 30B A3B
LMArena Text: software and IT13111340Qwen3 30B A3B
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for gpt-oss-20b and Qwen3 30B A3B
Benchmarkgpt-oss-20bQwen3 30B A3BLeader
AA Intelligence Index10.07.6gpt-oss-20b
Epoch Capabilities Index137.7137.3gpt-oss-20b
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for gpt-oss-20b and Qwen3 30B A3B
Benchmarkgpt-oss-20bQwen3 30B A3BLeader
τ²-Bench Telecom60.2%26.0%gpt-oss-20b
BrowseComp-Plus50.6%Not measuredOnly gpt-oss-20b measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for gpt-oss-20b and Qwen3 30B A3B
Benchmarkgpt-oss-20bQwen3 30B A3BLeader
GPQA Diamond68.9%Not measuredOnly gpt-oss-20b measured
GPQA Diamond (Artificial Analysis run)68.8%61.6%gpt-oss-20b
Humanity's Last Exam (Artificial Analysis run)11.0%6.2%gpt-oss-20b
GPQA Diamond (Epoch AI run)60.8%61.7%Qwen3 30B A3B
LMArena Text: hard prompts12741314Qwen3 30B A3B
LMArena Text: expert12581314Qwen3 30B A3B
LMArena Text: hard prompts in English12921329Qwen3 30B A3B
Kagi LLM Benchmark53.2%Not measuredOnly gpt-oss-20b measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index32
Math benchmarks for gpt-oss-20b and Qwen3 30B A3B
Benchmarkgpt-oss-20bQwen3 30B A3BLeader
AIME86.0%Not measuredOnly gpt-oss-20b measured
MATH 500 (Vals AI)94.2%Not measuredOnly gpt-oss-20b measured
MGSM (Vals AI)89.0%Not measuredOnly gpt-oss-20b measured
AA Math Index89.372.3gpt-oss-20b
AIME 2025 (Artificial Analysis run)89.3%72.3%gpt-oss-20b
OTIS Mock AIME65.3%62.8%gpt-oss-20b
LMArena Text: math13171355Qwen3 30B A3B
LMArena Text: mathematical work13051363Qwen3 30B A3B
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for gpt-oss-20b and Qwen3 30B A3B
Benchmarkgpt-oss-20bQwen3 30B A3BLeader
MMLU Pro71.6%Not measuredOnly gpt-oss-20b measured
LegalBench (Vals AI)70.8%Not measuredOnly gpt-oss-20b measured
CaseLaw (Vals AI)43.8%Not measuredOnly gpt-oss-20b measured
CorpFin (Vals AI)53.1%Not measuredOnly gpt-oss-20b measured
TaxEval (Vals AI)63.7%Not measuredOnly gpt-oss-20b measured
MedQA (Vals AI)82.9%Not measuredOnly gpt-oss-20b measured
MMLU Pro (Artificial Analysis run)74.8%77.7%Qwen3 30B A3B
LMArena Text: science12961321Qwen3 30B A3B
LMArena Text: medicine and healthcare13101318Qwen3 30B A3B
LMArena Text: legal and government12801314Qwen3 30B A3B
LMArena Text: business and finance12841309Qwen3 30B A3B
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for gpt-oss-20b and Qwen3 30B A3B
Benchmarkgpt-oss-20bQwen3 30B A3BLeader
Design Arena: websites852954Qwen3 30B A3B
Design Arena: UI componentsNot measured943Only Qwen3 30B A3B measured
Design Arena: game devNot measured898Only Qwen3 30B A3B measured
Design Arena: data viz933967Qwen3 30B A3B
Design Arena: all code categoriesNot measured941Only 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 index317
General benchmarks for gpt-oss-20b and Qwen3 30B A3B
Benchmarkgpt-oss-20bQwen3 30B A3BLeader
IFBench65.1%41.5%gpt-oss-20b
Long context reasoning (AA-LCR)34.7%0.0%gpt-oss-20b
DTBench68.0%60.3%gpt-oss-20b
LMCA14.5%15.8%Qwen3 30B A3B
Fiction.LiveBenchNot measured40.6%Only Qwen3 30B A3B measured
Creative writing (Lech Mazur)Not measured75.3%Only Qwen3 30B A3B measured
LMArena Text12881317Qwen3 30B A3B
LMArena Text: instruction following12361283Qwen3 30B A3B
LMArena Text: creative writing12011271Qwen3 30B A3B
LMArena Text: English13031335Qwen3 30B A3B
LMArena Text: non-English12691295Qwen3 30B A3B
LMArena Text: Chinese13151347Qwen3 30B A3B
LMArena Text: German12551307Qwen3 30B A3B
LMArena Text: Japanese12441254Qwen3 30B A3B
LMArena Text: Korean12361261Qwen3 30B A3B
LMArena Text: FrenchNot measured1352Only Qwen3 30B A3B measured
LMArena Text: Spanish12671317Qwen3 30B A3B
LMArena Text: Russian12781291Qwen3 30B A3B
LMArena Text: Polish12521299Qwen3 30B A3B
LMArena Text: multi-turn12681307Qwen3 30B A3B
LMArena Text: longer queries12501312Qwen3 30B A3B
LMArena Text: writing and language12381290Qwen3 30B A3B
LMArena Text: entertainment and media12161258Qwen3 30B A3B
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for gpt-oss-20b and Qwen3 30B A3B
Benchmarkgpt-oss-20bQwen3 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

gpt-oss-20b$0.0001Fits in one request
Qwen3 30B A3B$0.0004Fits in one request

gpt-oss-20b costs less

Repository review

50K input + 3K output tokens

gpt-oss-20b$0.0019Fits in one request
Qwen3 30B A3B$0.0075Exceeds the context window

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-20b$0.0075Exceeds the context window
Qwen3 30B A3B$0.029Exceeds the context window

gpt-oss-20b 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 gpt-oss-20b and Qwen3 30B A3B
SpecificationOpenAI gpt-oss-20bQwen3 30B A3B
MakerOpenAIQwen
WeightsOpen weightsOpen weights
ReleasedAugust 5, 2025April 28, 2025
Context window131K41K
Input $/Mtok$0.03$0.12
Output $/Mtok$0.15$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-20b better than Qwen3 30B A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick gpt-oss-20b for output tokens 3.3x cheaper ($0.15 vs $0.50 per million) and a larger context window (131K against 41K tokens).

Which is cheaper, gpt-oss-20b or Qwen3 30B A3B?

gpt-oss-20b costs $0.03 per million input tokens and $0.15 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, gpt-oss-20b or Qwen3 30B A3B?

gpt-oss-20b, with 131K tokens against 41K.

How many benchmarks is the gpt-oss-20b vs Qwen3 30B A3B comparison based on?

46 benchmarks have a result for both models as of October 22, 2026. gpt-oss-20b'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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