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Gemma 4 26B A4B vs gpt-oss-120b

Gemma 4 26B A4B leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 16.7 to 11.6, and gpt-oss-120b costs 1.2x less per output token ($0.50 vs $0.60 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Replace Gemma 4 26B A4B Replace gpt-oss-120b
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
34
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
7
vs boards won of 41 shared

Gemma 4 26B A4B or gpt-oss-120b: which to pick

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

Pick Gemma 4 26B A4B for a larger context window (262K against 131K tokens) and work measured by WeirdML or AA Agentic Index, where it leads.

Model AGemma 4 26B A4BGoogleNot benchmarked1 independent benchmarkNo cost per solved taskModel Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task
Shared results
41
Gemma 4 26B A4B only
14
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 4 26B A4B not benchmarked, gpt-oss-120b not benchmarked.
Widest category
General, 13.0 points apart on average over 17 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against gpt-oss-120b 65.8%, 22.2 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against gpt-oss-120b $0.50 per million output tokens, 1.2x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, gpt-oss-120b 131K.

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 4 26B A4BBarsgpt-oss-120bTies
Coding61
Intelligence20
Agentic work02
Reasoning42
Math21
Knowledge40
General161
All shared boards347
CodingLike-for-likeSix of these boards feed the Vibe Coding Index61
Coding benchmarks for Gemma 4 26B A4B and gpt-oss-120b
BenchmarkGemma 4 26B A4Bgpt-oss-120bLeader
Aider polyglotNot measured41.8%Only gpt-oss-120b measured
SWE-bench VerifiedNot measured26.0%Only gpt-oss-120b measured
LMArena WebDev1360Not measuredOnly Gemma 4 26B A4B measured
AA Coding Index39.330.4Gemma 4 26B A4B
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)Not measured87.8%Only gpt-oss-120b measured
SciCode40.0%34.0%Gemma 4 26B A4B
Terminal-Bench Hard (Artificial Analysis run)25.0%23.5%Gemma 4 26B A4B
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
WeirdML35.2%48.2%gpt-oss-120b
ALE-Bench927.2575.6Gemma 4 26B A4B
LMArena Text: coding14461379Gemma 4 26B A4B
LMArena Text: software and IT14541387Gemma 4 26B A4B
LMArena WebDev: React1351Not measuredOnly Gemma 4 26B A4B measured
LMArena WebDev: HTML1362Not measuredOnly Gemma 4 26B A4B measured
SciCodeNot measured7.7%Only gpt-oss-120b measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemma 4 26B A4B and gpt-oss-120b
BenchmarkGemma 4 26B A4Bgpt-oss-120bLeader
AA Intelligence Index16.711.6Gemma 4 26B A4B
Epoch Capabilities Index141.9139.8Gemma 4 26B A4B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 4 26B A4B and gpt-oss-120b
BenchmarkGemma 4 26B A4Bgpt-oss-120bLeader
AA Agentic Index2.93.7gpt-oss-120b
τ²-Bench Telecom43.6%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
BrowseComp-PlusNot measured67.0%Only 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 index42
Reasoning benchmarks for Gemma 4 26B A4B and gpt-oss-120b
BenchmarkGemma 4 26B A4Bgpt-oss-120bLeader
GPQA DiamondNot measured78.5%Only gpt-oss-120b measured
GPQA Diamond (Artificial Analysis run)79.2%78.2%Gemma 4 26B A4B
Humanity's Last Exam (Artificial Analysis run)19.3%19.6%gpt-oss-120b
GPQA Diamond (Epoch AI run)73.2%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 prompts14381364Gemma 4 26B A4B
LMArena Text: expert14471356Gemma 4 26B A4B
LMArena Text: hard prompts in English14481368Gemma 4 26B A4B
LMArena Vision: diagrams1264Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: homework1293Not measuredOnly Gemma 4 26B A4B measured
Kagi LLM BenchmarkNot measured58.6%Only gpt-oss-120b measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for Gemma 4 26B A4B and gpt-oss-120b
BenchmarkGemma 4 26B A4Bgpt-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 IndexNot measured93.4Only gpt-oss-120b measured
AIME 2025 (Artificial Analysis run)Not measured93.4%Only gpt-oss-120b measured
OTIS Mock AIME82.2%88.9%gpt-oss-120b
LMArena Text: math14701389Gemma 4 26B A4B
LMArena Text: mathematical work14751386Gemma 4 26B A4B
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemma 4 26B A4B and gpt-oss-120b
BenchmarkGemma 4 26B A4Bgpt-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)Not measured80.8%Only gpt-oss-120b measured
LMArena Text: science14461382Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281388Gemma 4 26B A4B
LMArena Text: legal and government14571355Gemma 4 26B A4B
LMArena Text: business and finance14291359Gemma 4 26B A4B
FACTS Benchmark Suite42.7%Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and gpt-oss-120b
BenchmarkGemma 4 26B A4Bgpt-oss-120bLeader
Design Arena: websitesNot measured968Only gpt-oss-120b measured
Design Arena: UI componentsNot measured924Only 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 measured900Only gpt-oss-120b measured
Design Arena: all code categoriesNot measured962Only 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 index161
General benchmarks for Gemma 4 26B A4B and gpt-oss-120b
BenchmarkGemma 4 26B A4Bgpt-oss-120bLeader
IFBench72.4%69.0%Gemma 4 26B A4B
Long context reasoning (AA-LCR)65.7%52.0%Gemma 4 26B A4B
DTBench74.9%76.3%gpt-oss-120b
LMCA29.7%22.1%Gemma 4 26B A4B
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 Text14341366Gemma 4 26B A4B
LMArena Text: instruction following14201318Gemma 4 26B A4B
LMArena Text: creative writing14001274Gemma 4 26B A4B
LMArena Vision1260Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: English14441375Gemma 4 26B A4B
LMArena Text: non-English14211351Gemma 4 26B A4B
LMArena Text: Chinese14951385Gemma 4 26B A4B
LMArena Text: GermanNot measured1353Only gpt-oss-120b measured
LMArena Text: JapaneseNot measured1331Only gpt-oss-120b measured
LMArena Text: KoreanNot measured1282Only gpt-oss-120b measured
LMArena Text: French14601370Gemma 4 26B A4B
LMArena Text: Spanish14151389Gemma 4 26B A4B
LMArena Text: Russian14341343Gemma 4 26B A4B
LMArena Text: PolishNot measured1353Only gpt-oss-120b measured
LMArena Text: multi-turn14411340Gemma 4 26B A4B
LMArena Text: longer queries14271319Gemma 4 26B A4B
LMArena Text: writing and language14051306Gemma 4 26B A4B
LMArena Text: entertainment and media14031292Gemma 4 26B A4B
LMArena Vision: English1256Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: Chinese1312Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: reading text1268Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: humor1272Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things1191Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: creative writing1256Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 4 26B A4B and gpt-oss-120b
BenchmarkGemma 4 26B A4Bgpt-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 4 26B A4B$0.0004Fits in one request
gpt-oss-120b$0.0003Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

Gemma 4 26B A4B$0.0093Fits in one request
gpt-oss-120b$0.0065Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

Gemma 4 26B A4B$0.036Fits in one request
gpt-oss-120b$0.025Exceeds 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 Gemma 4 26B A4B and gpt-oss-120b
SpecificationGoogle Gemma 4 26B A4BOpenAI gpt-oss-120b
MakerGoogleOpenAI
WeightsOpen weightsOpen weights
ReleasedApril 3, 2026August 5, 2025
Context window262K131K
Input $/Mtok$0.15$0.10
Output $/Mtok$0.60$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computable$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than gpt-oss-120b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for a larger context window (262K against 131K tokens) and work measured by WeirdML or AA Agentic Index, where it leads.

Which is cheaper, Gemma 4 26B A4B or gpt-oss-120b?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 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 4 26B A4B or gpt-oss-120b?

Gemma 4 26B A4B, with 262K tokens against 131K.

How many benchmarks is the Gemma 4 26B A4B vs gpt-oss-120b comparison based on?

41 benchmarks have a result for both models as of October 22, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark 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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