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gpt-oss-120b vs Qwen3 30B A3B Instruct 2507

gpt-oss-120b leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 11.6 to 7.5, and Qwen3 30B A3B Instruct 2507 costs 1.7x less per output token ($0.30 vs $0.50 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
15
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
29
vs boards won of 44 shared

gpt-oss-120b or Qwen3 30B A3B Instruct 2507: which to pick

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

Pick gpt-oss-120b for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
44
gpt-oss-120b only
41
Qwen3 30B A3B Instruct 2507 only
1
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
gpt-oss-120b not benchmarked, Qwen3 30B A3B Instruct 2507 not benchmarked.
Widest category
Agentic work, 37.7 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: gpt-oss-120b 65.8% against Qwen3 30B A3B Instruct 2507 28.1%, 37.7 points apart on a 0 to 100 scale.
Output price
gpt-oss-120b $0.50 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 1.7x apart.
Context window
gpt-oss-120b takes 131K tokens, Qwen3 30B A3B Instruct 2507 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
Categorygpt-oss-120bBarsQwen3 30B A3B Instruct 2507Ties
Coding32
Intelligence10
Agentic work10
Reasoning33
Math32
Knowledge14
General318
All shared boards1529
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for gpt-oss-120b and Qwen3 30B A3B Instruct 2507
Benchmarkgpt-oss-120bQwen3 30B A3B Instruct 2507Leader
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%70.7%gpt-oss-120b
SciCode34.0%33.0%gpt-oss-120b
Terminal-Bench Hard (Artificial Analysis run)23.5%6.1%gpt-oss-120b
Terminal-Bench18.7%Not measuredOnly gpt-oss-120b measured
WeirdML48.2%Not measuredOnly gpt-oss-120b measured
ALE-Bench575.6Not measuredOnly gpt-oss-120b measured
LMArena Text: coding13791416Qwen3 30B A3B Instruct 2507
LMArena Text: software and IT13871417Qwen3 30B A3B Instruct 2507
SciCode7.7%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for gpt-oss-120b and Qwen3 30B A3B Instruct 2507
Benchmarkgpt-oss-120bQwen3 30B A3B Instruct 2507Leader
AA Intelligence Index11.67.5gpt-oss-120b
Epoch Capabilities Index139.8Not measuredOnly gpt-oss-120b measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for gpt-oss-120b and Qwen3 30B A3B Instruct 2507
Benchmarkgpt-oss-120bQwen3 30B A3B Instruct 2507Leader
AA Agentic Index3.7Not measuredOnly gpt-oss-120b measured
τ²-Bench Telecom65.8%28.1%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
Berkeley Function Calling Leaderboard (BFCL)Not measured41.4%Only Qwen3 30B A3B Instruct 2507 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 index33
Reasoning benchmarks for gpt-oss-120b and Qwen3 30B A3B Instruct 2507
Benchmarkgpt-oss-120bQwen3 30B A3B Instruct 2507Leader
GPQA Diamond78.5%Not measuredOnly gpt-oss-120b measured
GPQA Diamond (Artificial Analysis run)78.2%70.7%gpt-oss-120b
Humanity's Last Exam (Artificial Analysis run)19.6%10.3%gpt-oss-120b
GPQA Diamond (Epoch AI run)75.8%55.6%gpt-oss-120b
SimpleBench22.1%Not measuredOnly gpt-oss-120b measured
Mystery game puzzles2.0%Not measuredOnly gpt-oss-120b measured
LMArena Text: hard prompts13641398Qwen3 30B A3B Instruct 2507
LMArena Text: expert13561397Qwen3 30B A3B Instruct 2507
LMArena Text: hard prompts in English13681406Qwen3 30B A3B Instruct 2507
Kagi LLM Benchmark58.6%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index32
Math benchmarks for gpt-oss-120b and Qwen3 30B A3B Instruct 2507
Benchmarkgpt-oss-120bQwen3 30B A3B Instruct 2507Leader
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 Index93.466.3gpt-oss-120b
AIME 2025 (Artificial Analysis run)93.4%66.3%gpt-oss-120b
OTIS Mock AIME88.9%62.2%gpt-oss-120b
LMArena Text: math13891394Qwen3 30B A3B Instruct 2507
LMArena Text: mathematical work13861411Qwen3 30B A3B Instruct 2507
MathArena15.1%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for gpt-oss-120b and Qwen3 30B A3B Instruct 2507
Benchmarkgpt-oss-120bQwen3 30B A3B Instruct 2507Leader
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%80.5%gpt-oss-120b
LMArena Text: science13821393Qwen3 30B A3B Instruct 2507
LMArena Text: medicine and healthcare13881392Qwen3 30B A3B Instruct 2507
LMArena Text: legal and government13551387Qwen3 30B A3B Instruct 2507
LMArena Text: business and finance13591389Qwen3 30B A3B Instruct 2507
PRBench Finance43.8%Not measuredOnly gpt-oss-120b measured
PRBench Legal40.2%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for gpt-oss-120b and Qwen3 30B A3B Instruct 2507
Benchmarkgpt-oss-120bQwen3 30B A3B Instruct 2507Leader
Design Arena: websites968Not measuredOnly gpt-oss-120b measured
Design Arena: UI components924Not measuredOnly gpt-oss-120b measured
Design Arena: game dev991Not measuredOnly gpt-oss-120b measured
Design Arena: data viz987Not measuredOnly gpt-oss-120b measured
Design Arena: 3D901Not measuredOnly gpt-oss-120b measured
Design Arena: all code categories962Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index318
General benchmarks for gpt-oss-120b and Qwen3 30B A3B Instruct 2507
Benchmarkgpt-oss-120bQwen3 30B A3B Instruct 2507Leader
IFBench69.0%50.7%gpt-oss-120b
Long context reasoning (AA-LCR)52.0%61.3%Qwen3 30B A3B Instruct 2507
DTBench76.3%67.2%gpt-oss-120b
LMCA22.1%22.4%Qwen3 30B A3B Instruct 2507
Fiction.LiveBench44.4%Not measuredOnly gpt-oss-120b measured
Creative writing (Lech Mazur)77.1%Not measuredOnly gpt-oss-120b measured
Surface Evolver Bench25.0%Not measuredOnly gpt-oss-120b measured
LMArena Text13661384Qwen3 30B A3B Instruct 2507
LMArena Text: instruction following13181363Qwen3 30B A3B Instruct 2507
LMArena Text: creative writing12741317Qwen3 30B A3B Instruct 2507
LMArena Text: English13751391Qwen3 30B A3B Instruct 2507
LMArena Text: non-English13511372Qwen3 30B A3B Instruct 2507
LMArena Text: Chinese13851432Qwen3 30B A3B Instruct 2507
LMArena Text: German13531379Qwen3 30B A3B Instruct 2507
LMArena Text: Japanese13311337Qwen3 30B A3B Instruct 2507
LMArena Text: Korean12821330Qwen3 30B A3B Instruct 2507
LMArena Text: French13701419Qwen3 30B A3B Instruct 2507
LMArena Text: Spanish13891404Qwen3 30B A3B Instruct 2507
LMArena Text: Russian13431369Qwen3 30B A3B Instruct 2507
LMArena Text: Polish13531353gpt-oss-120b
LMArena Text: multi-turn13401378Qwen3 30B A3B Instruct 2507
LMArena Text: longer queries13191378Qwen3 30B A3B Instruct 2507
LMArena Text: writing and language13061336Qwen3 30B A3B Instruct 2507
LMArena Text: entertainment and media12921334Qwen3 30B A3B Instruct 2507
MultiChallenge45.3%Not measuredOnly gpt-oss-120b measured
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-120b and Qwen3 30B A3B Instruct 2507
Benchmarkgpt-oss-120bQwen3 30B A3B Instruct 2507Leader
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 Instruct 2507$0.0002Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

gpt-oss-120b$0.0065Fits in one request
Qwen3 30B A3B Instruct 2507$0.0054Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

gpt-oss-120b$0.025Exceeds the context window
Qwen3 30B A3B Instruct 2507$0.021Fits in one request

Qwen3 30B A3B Instruct 2507 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 Instruct 2507
SpecificationOpenAI gpt-oss-120bQwen3 30B A3B Instruct 2507
MakerOpenAIQwen
WeightsOpen weightsOpen weights
ReleasedAugust 5, 2025July 29, 2025
Context window131K262K
Input $/Mtok$0.10$0.09
Output $/Mtok$0.50$0.30
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 Instruct 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick gpt-oss-120b for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, gpt-oss-120b or Qwen3 30B A3B Instruct 2507?

gpt-oss-120b costs $0.10 per million input tokens and $0.50 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for gpt-oss-120b only.

Which has the bigger context window, gpt-oss-120b or Qwen3 30B A3B Instruct 2507?

Qwen3 30B A3B Instruct 2507, with 262K tokens against 131K.

How many benchmarks is the gpt-oss-120b vs Qwen3 30B A3B Instruct 2507 comparison based on?

44 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 Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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