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Gemma 3 4B vs gpt-oss-120b

gpt-oss-120b leads Gemma 3 4B on the Artificial Analysis Intelligence Index, 11.6 to 4.8, and Gemma 3 4B costs 6.7x less per output token ($0.075 vs $0.50 per million). Updated October 21, 2026; 41 benchmarks have a result for both.

Replace Gemma 3 4B Replace gpt-oss-120b
Gemma 3 4BGoogle
Coding
No data
Overall
22.6
Output $/M
$0.075
0
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
41
vs boards won of 41 shared

Gemma 3 4B or gpt-oss-120b: which to pick

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

Pick Gemma 3 4B for output tokens 6.7x cheaper ($0.075 vs $0.50 per million) and work measured by AA Coding Index or LiveCodeBench (Artificial Analysis run), where it leads.

Model AGemma 3 4BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task
Shared results
41
Gemma 3 4B only
1
gpt-oss-120b only
40
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
Gemma 3 4B not benchmarked, gpt-oss-120b not benchmarked.
Widest category
Agentic work, 60.8 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: Gemma 3 4B 7.5% against gpt-oss-120b 88.9%, 81.4 points apart on a 0 to 100 scale.
Output price
Gemma 3 4B $0.075 against gpt-oss-120b $0.50 per million output tokens, 6.7x apart.
Context window
Both take 131K tokens.

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
CategoryGemma 3 4BBarsgpt-oss-120bTies
Coding06
Intelligence02
Agentic work01
Reasoning07
Math05
Knowledge05
General015
All shared boards041
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for Gemma 3 4B and gpt-oss-120b
BenchmarkGemma 3 4Bgpt-oss-120bLeader
Aider polyglotNot measured41.8%Only gpt-oss-120b measured
SWE-bench VerifiedNot measured26.0%Only gpt-oss-120b measured
AA Coding Index2.730.4gpt-oss-120b
LiveCodeBench (Vals AI)Not measured83.2%Only gpt-oss-120b measured
SWE-bench Verified (Vals AI)Not measured33.6%Only gpt-oss-120b measured
LiveCodeBench (Artificial Analysis run)11.2%87.8%gpt-oss-120b
SciCodeNot measured34.0%Only gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)0.8%23.5%gpt-oss-120b
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
WeirdMLNot measured48.2%Only gpt-oss-120b measured
ALE-BenchNot measured575.6Only gpt-oss-120b measured
LMArena Text: coding12301379gpt-oss-120b
LMArena Text: software and IT12691387gpt-oss-120b
SciCode0.0%7.7%gpt-oss-120b
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 4B and gpt-oss-120b
BenchmarkGemma 3 4Bgpt-oss-120bLeader
AA Intelligence Index4.811.6gpt-oss-120b
Epoch Capabilities Index115.9139.8gpt-oss-120b
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 3 4B and gpt-oss-120b
BenchmarkGemma 3 4Bgpt-oss-120bLeader
AA Agentic IndexNot measured3.7Only gpt-oss-120b measured
τ²-Bench Telecom5.0%65.8%gpt-oss-120b
APEX-AgentsNot measured4.4%Only gpt-oss-120b measured
METR time horizonsNot measured56.6%Only gpt-oss-120b measured
Vending-Bench 2Not measured-$22Only gpt-oss-120b measured
Berkeley Function Calling Leaderboard (BFCL)19.6%Not measuredOnly Gemma 3 4B measured
BrowseComp-PlusNot measured67.0%Only gpt-oss-120b measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Gemma 3 4B and gpt-oss-120b
BenchmarkGemma 3 4Bgpt-oss-120bLeader
GPQA DiamondNot measured78.5%Only gpt-oss-120b measured
GPQA Diamond (Artificial Analysis run)29.1%78.2%gpt-oss-120b
Humanity's Last Exam (Artificial Analysis run)5.3%19.6%gpt-oss-120b
GPQA Diamond (Epoch AI run)23.2%75.8%gpt-oss-120b
SimpleBenchNot measured22.1%Only gpt-oss-120b measured
Mystery game puzzlesNot measured2.0%Only gpt-oss-120b measured
LMArena Text: hard prompts12531364gpt-oss-120b
LMArena Text: expert12231356gpt-oss-120b
LMArena Text: hard prompts in English12531368gpt-oss-120b
Kagi LLM Benchmark25.2%58.6%gpt-oss-120b
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Gemma 3 4B and gpt-oss-120b
BenchmarkGemma 3 4Bgpt-oss-120bLeader
AIMENot measured92.6%Only gpt-oss-120b measured
MATH 500 (Vals AI)Not measured94.8%Only gpt-oss-120b measured
MGSM (Vals AI)Not measured92.0%Only gpt-oss-120b measured
AA Math Index12.793.4gpt-oss-120b
AIME 2025 (Artificial Analysis run)12.7%93.4%gpt-oss-120b
OTIS Mock AIME7.5%88.9%gpt-oss-120b
LMArena Text: math12391389gpt-oss-120b
LMArena Text: mathematical work12561386gpt-oss-120b
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 Gemma 3 4B and gpt-oss-120b
BenchmarkGemma 3 4Bgpt-oss-120bLeader
MMLU ProNot measured79.2%Only gpt-oss-120b measured
LegalBench (Vals AI)Not measured75.9%Only gpt-oss-120b measured
CaseLaw (Vals AI)Not measured48.8%Only gpt-oss-120b measured
CorpFin (Vals AI)Not measured58.2%Only gpt-oss-120b measured
TaxEval (Vals AI)Not measured71.6%Only gpt-oss-120b measured
MedQA (Vals AI)Not measured91.4%Only gpt-oss-120b measured
MMLU Pro (Artificial Analysis run)41.7%80.8%gpt-oss-120b
LMArena Text: science13061382gpt-oss-120b
LMArena Text: medicine and healthcare13421388gpt-oss-120b
LMArena Text: legal and government13271355gpt-oss-120b
LMArena Text: business and finance13111359gpt-oss-120b
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 Gemma 3 4B and gpt-oss-120b
BenchmarkGemma 3 4Bgpt-oss-120bLeader
Design Arena: websitesNot measured968Only gpt-oss-120b measured
Design Arena: UI componentsNot measured927Only gpt-oss-120b measured
Design Arena: game devNot measured992Only gpt-oss-120b measured
Design Arena: data vizNot measured987Only gpt-oss-120b measured
Design Arena: 3DNot measured901Only gpt-oss-120b measured
Design Arena: all code categoriesNot measured963Only 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 index015
General benchmarks for Gemma 3 4B and gpt-oss-120b
BenchmarkGemma 3 4Bgpt-oss-120bLeader
IFBench28.3%69.0%gpt-oss-120b
Long context reasoning (AA-LCR)6.7%52.0%gpt-oss-120b
DTBench50.9%76.3%gpt-oss-120b
LMCA2.8%22.1%gpt-oss-120b
Fiction.LiveBenchNot measured44.4%Only gpt-oss-120b measured
Creative writing (Lech Mazur)Not measured77.1%Only gpt-oss-120b measured
Surface Evolver BenchNot measured25.0%Only gpt-oss-120b measured
LMArena Text12911366gpt-oss-120b
LMArena Text: instruction following12391318gpt-oss-120b
LMArena Text: creative writing12701274gpt-oss-120b
LMArena Text: English13001375gpt-oss-120b
LMArena Text: non-English12731351gpt-oss-120b
LMArena Text: ChineseNot measured1385Only gpt-oss-120b measured
LMArena Text: German12811353gpt-oss-120b
LMArena Text: JapaneseNot measured1331Only gpt-oss-120b measured
LMArena Text: KoreanNot measured1282Only gpt-oss-120b measured
LMArena Text: FrenchNot measured1370Only gpt-oss-120b measured
LMArena Text: SpanishNot measured1389Only gpt-oss-120b measured
LMArena Text: Russian12941343gpt-oss-120b
LMArena Text: PolishNot measured1353Only gpt-oss-120b measured
LMArena Text: multi-turn12551340gpt-oss-120b
LMArena Text: longer queries12731319gpt-oss-120b
LMArena Text: writing and language12881306gpt-oss-120b
LMArena Text: entertainment and media12331292gpt-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 Gemma 3 4B and gpt-oss-120b
BenchmarkGemma 3 4Bgpt-oss-120bLeader
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

Gemma 3 4B$0.0001Fits in one request
gpt-oss-120b$0.0003Fits in one request

Gemma 3 4B costs less

Repository review

50K input + 3K output tokens

Gemma 3 4B$0.0025Fits in one request
gpt-oss-120b$0.0065Fits in one request

Gemma 3 4B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 4B$0.0097Exceeds the context window
gpt-oss-120b$0.025Exceeds the context window

Gemma 3 4B 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 Gemma 3 4B and gpt-oss-120b
SpecificationGoogle Gemma 3 4BOpenAI gpt-oss-120b
MakerGoogleOpenAI
WeightsOpen weightsOpen weights
ReleasedMarch 13, 2025August 5, 2025
Context window131K131K
Input $/Mtok$0.045$0.10
Output $/Mtok$0.075$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 4B better than gpt-oss-120b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 3 4B for output tokens 6.7x cheaper ($0.075 vs $0.50 per million) and work measured by AA Coding Index or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Gemma 3 4B or gpt-oss-120b?

Gemma 3 4B costs $0.045 per million input tokens and $0.075 per million output tokens; gpt-oss-120b costs $0.10 and $0.50. Cost per solved task is known for gpt-oss-120b only.

Which has the bigger context window, Gemma 3 4B or gpt-oss-120b?

Neither: both take 131K tokens.

How many benchmarks is the Gemma 3 4B vs gpt-oss-120b comparison based on?

41 benchmarks have a result for both models as of October 21, 2026. Gemma 3 4B's coding index rests on 0 independent benchmarks and gpt-oss-120b's on 1. Where only one model has a result, the page says so instead of naming a winner.

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