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gpt-oss-120b vs Qwen3 30B A3B

gpt-oss-120b leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 11.6 to 7.6, at about the same output price ($0.50 vs $0.50 per million). Updated October 22, 2026; 52 benchmarks have a result for both.

gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
51
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
1
vs boards won of 52 shared

gpt-oss-120b 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-120b for a larger context window (131K against 41K tokens) and work measured by Design Arena: UI components, where it leads.

Shared results
52
gpt-oss-120b only
29
Qwen3 30B A3B only
0
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-120b not benchmarked, Qwen3 30B A3B not benchmarked.
Widest category
Agentic work, 39.8 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): gpt-oss-120b 52.0% against Qwen3 30B A3B 0.0%, 52.0 points apart on a 0 to 100 scale.
Output price
Both cost $0.50 per million output tokens.
Context window
gpt-oss-120b 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-120bBarsQwen3 30B A3BTies
Coding50
Intelligence20
Agentic work10
Reasoning60
Math50
Knowledge50
Web design41
General230
All shared boards511
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for gpt-oss-120b and Qwen3 30B A3B
Benchmarkgpt-oss-120bQwen3 30B A3BLeader
Aider polyglot41.8%Not measuredOnly gpt-oss-120b measured
SWE-bench Verified26.0%Not measuredOnly gpt-oss-120b measured
AA Coding Index30.4Not measuredOnly gpt-oss-120b measured
LiveCodeBench (Vals AI)83.2%Not measuredOnly gpt-oss-120b measured
SWE-bench Verified (Vals AI)33.6%Not measuredOnly gpt-oss-120b measured
LiveCodeBench (Artificial Analysis run)87.8%50.6%gpt-oss-120b
SciCode34.0%Not measuredOnly gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)23.5%6.8%gpt-oss-120b
Terminal-Bench18.7%Not measuredOnly gpt-oss-120b measured
WeirdML48.2%29.8%gpt-oss-120b
ALE-Bench575.6Not measuredOnly gpt-oss-120b measured
LMArena Text: coding13791337gpt-oss-120b
LMArena Text: software and IT13871340gpt-oss-120b
SciCode7.7%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for gpt-oss-120b and Qwen3 30B A3B
Benchmarkgpt-oss-120bQwen3 30B A3BLeader
AA Intelligence Index11.67.6gpt-oss-120b
Epoch Capabilities Index139.8137.3gpt-oss-120b
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for gpt-oss-120b and Qwen3 30B A3B
Benchmarkgpt-oss-120bQwen3 30B A3BLeader
AA Agentic Index3.7Not measuredOnly gpt-oss-120b measured
τ²-Bench Telecom65.8%26.0%gpt-oss-120b
APEX-Agents4.4%Not measuredOnly gpt-oss-120b measured
METR time horizons56.6%Not measuredOnly gpt-oss-120b measured
Vending-Bench 2-$22Not measuredOnly gpt-oss-120b measured
BrowseComp-Plus67.0%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for gpt-oss-120b and Qwen3 30B A3B
Benchmarkgpt-oss-120bQwen3 30B A3BLeader
GPQA Diamond78.5%Not measuredOnly gpt-oss-120b measured
GPQA Diamond (Artificial Analysis run)78.2%61.6%gpt-oss-120b
Humanity's Last Exam (Artificial Analysis run)19.6%6.2%gpt-oss-120b
GPQA Diamond (Epoch AI run)75.8%61.7%gpt-oss-120b
SimpleBench22.1%Not measuredOnly gpt-oss-120b measured
Mystery game puzzles2.0%Not measuredOnly gpt-oss-120b measured
LMArena Text: hard prompts13641314gpt-oss-120b
LMArena Text: expert13561314gpt-oss-120b
LMArena Text: hard prompts in English13681329gpt-oss-120b
Kagi LLM Benchmark58.6%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for gpt-oss-120b and Qwen3 30B A3B
Benchmarkgpt-oss-120bQwen3 30B A3BLeader
AIME92.6%Not measuredOnly gpt-oss-120b measured
MATH 500 (Vals AI)94.8%Not measuredOnly gpt-oss-120b measured
MGSM (Vals AI)92.0%Not measuredOnly gpt-oss-120b measured
AA Math Index93.472.3gpt-oss-120b
AIME 2025 (Artificial Analysis run)93.4%72.3%gpt-oss-120b
OTIS Mock AIME88.9%62.8%gpt-oss-120b
LMArena Text: math13891355gpt-oss-120b
LMArena Text: mathematical work13861363gpt-oss-120b
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for gpt-oss-120b and Qwen3 30B A3B
Benchmarkgpt-oss-120bQwen3 30B A3BLeader
MMLU Pro79.2%Not measuredOnly gpt-oss-120b measured
LegalBench (Vals AI)75.9%Not measuredOnly gpt-oss-120b measured
CaseLaw (Vals AI)48.8%Not measuredOnly gpt-oss-120b measured
CorpFin (Vals AI)58.2%Not measuredOnly gpt-oss-120b measured
TaxEval (Vals AI)71.6%Not measuredOnly gpt-oss-120b measured
MedQA (Vals AI)91.4%Not measuredOnly gpt-oss-120b measured
MMLU Pro (Artificial Analysis run)80.8%77.7%gpt-oss-120b
LMArena Text: science13821321gpt-oss-120b
LMArena Text: medicine and healthcare13881318gpt-oss-120b
LMArena Text: legal and government13551314gpt-oss-120b
LMArena Text: business and finance13591309gpt-oss-120b
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index41
Web design benchmarks for gpt-oss-120b and Qwen3 30B A3B
Benchmarkgpt-oss-120bQwen3 30B A3BLeader
Design Arena: websites968954gpt-oss-120b
Design Arena: UI components924943Qwen3 30B A3B
Design Arena: game dev992898gpt-oss-120b
Design Arena: data viz987967gpt-oss-120b
Design Arena: 3D900Not measuredOnly gpt-oss-120b measured
Design Arena: all code categories962941gpt-oss-120b
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index230
General benchmarks for gpt-oss-120b and Qwen3 30B A3B
Benchmarkgpt-oss-120bQwen3 30B A3BLeader
IFBench69.0%41.5%gpt-oss-120b
Long context reasoning (AA-LCR)52.0%0.0%gpt-oss-120b
DTBench76.3%60.3%gpt-oss-120b
LMCA22.1%15.8%gpt-oss-120b
Fiction.LiveBench44.4%40.6%gpt-oss-120b
Creative writing (Lech Mazur)77.1%75.3%gpt-oss-120b
Surface Evolver Bench25.0%Not measuredOnly gpt-oss-120b measured
LMArena Text13661317gpt-oss-120b
LMArena Text: instruction following13181283gpt-oss-120b
LMArena Text: creative writing12741271gpt-oss-120b
LMArena Text: English13751335gpt-oss-120b
LMArena Text: non-English13511295gpt-oss-120b
LMArena Text: Chinese13851347gpt-oss-120b
LMArena Text: German13531307gpt-oss-120b
LMArena Text: Japanese13311254gpt-oss-120b
LMArena Text: Korean12821261gpt-oss-120b
LMArena Text: French13701352gpt-oss-120b
LMArena Text: Spanish13891317gpt-oss-120b
LMArena Text: Russian13431291gpt-oss-120b
LMArena Text: Polish13531299gpt-oss-120b
LMArena Text: multi-turn13401307gpt-oss-120b
LMArena Text: longer queries13191312gpt-oss-120b
LMArena Text: writing and language13061290gpt-oss-120b
LMArena Text: entertainment and media12921258gpt-oss-120b
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for gpt-oss-120b and Qwen3 30B A3B
Benchmarkgpt-oss-120bQwen3 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-120b$0.0003Fits in one request
Qwen3 30B A3B$0.0004Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

gpt-oss-120b$0.0065Fits in one request
Qwen3 30B A3B$0.0075Exceeds the context window

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-120b$0.025Exceeds the context window
Qwen3 30B A3B$0.029Exceeds the context window

gpt-oss-120b 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-120b and Qwen3 30B A3B
SpecificationOpenAI gpt-oss-120bQwen3 30B A3B
MakerOpenAIQwen
WeightsOpen weightsOpen weights
ReleasedAugust 5, 2025April 28, 2025
Context window131K41K
Input $/Mtok$0.10$0.12
Output $/Mtok$0.50$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.51Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-120b 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-120b for a larger context window (131K against 41K tokens) and work measured by Design Arena: UI components, where it leads.

Which is cheaper, gpt-oss-120b or Qwen3 30B A3B?

gpt-oss-120b costs $0.10 per million input tokens and $0.50 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for gpt-oss-120b only.

Which has the bigger context window, gpt-oss-120b or Qwen3 30B A3B?

gpt-oss-120b, with 131K tokens against 41K.

How many benchmarks is the gpt-oss-120b vs Qwen3 30B A3B comparison based on?

52 benchmarks have a result for both models as of October 22, 2026. gpt-oss-120b's coding index rests on 1 independent benchmark 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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