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Gemma 4 31B vs gpt-oss-20b

Gemma 4 31B leads gpt-oss-20b on the Artificial Analysis Intelligence Index, 14.7 to 10.0, and gpt-oss-20b costs 2.7x less per output token ($0.15 vs $0.40 per million). Updated October 21, 2026; 41 benchmarks have a result for both.

Replace Gemma 4 31B Replace gpt-oss-20b
Gemma 4 31BGoogle
Coding
39.0
Overall
42.1
Output $/M
$0.40
41
gpt-oss-20bOpenAI
Coding
No data
Overall
38.5
Output $/M
$0.15
0
vs boards won of 41 shared

Gemma 4 31B or gpt-oss-20b: which to pick

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; gpt-oss-20b has none, so the two cannot be ranked on coding.

Pick gpt-oss-20b for output tokens 2.7x cheaper ($0.15 vs $0.40 per million).

Model AGemma 4 31BGoogle39.0/1002 independent benchmarksNo cost per solved taskModel Bgpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
41
Gemma 4 31B only
30
gpt-oss-20b only
21
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 31B 39.0 from 2 benchmarks, gpt-oss-20b not benchmarked.
Widest category
General, 27.9 points apart on average over 17 shared benchmarks.
Widest single gap
LMArena Text: creative writing: Gemma 4 31B 1417 against gpt-oss-20b 1201, 35.9 points apart on a 0 to 100 scale.
Output price
Gemma 4 31B $0.40 against gpt-oss-20b $0.15 per million output tokens, 2.7x apart.
Context window
Gemma 4 31B takes 262K tokens, gpt-oss-20b 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 31BBarsgpt-oss-20bTies
Coding60
Intelligence20
Agentic work10
Reasoning70
Math30
Knowledge50
General170
All shared boards410
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Gemma 4 31B and gpt-oss-20b
BenchmarkGemma 4 31Bgpt-oss-20bLeader
LiveBench coding49.0%Not measuredOnly Gemma 4 31B measured
LMArena WebDev1367Not measuredOnly Gemma 4 31B measured
AA Coding Index43.4Not measuredOnly Gemma 4 31B measured
LiveCodeBench (Vals AI)Not measured80.4%Only gpt-oss-20b measured
LiveCodeBench (Artificial Analysis run)Not measured77.7%Only gpt-oss-20b measured
SciCode45.5%38.9%Gemma 4 31B
Terminal-Bench Hard (Artificial Analysis run)36.4%10.6%Gemma 4 31B
Terminal-BenchNot measured3.4%Only gpt-oss-20b measured
WeirdML52.3%40.9%Gemma 4 31B
ALE-Bench925.5566.0Gemma 4 31B
LMArena Text: coding14591307Gemma 4 31B
LMArena Text: software and IT14631311Gemma 4 31B
LMArena WebDev: React1359Not measuredOnly Gemma 4 31B measured
LMArena WebDev: HTML1380Not measuredOnly Gemma 4 31B measured
SciCode8.9%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemma 4 31B and gpt-oss-20b
BenchmarkGemma 4 31Bgpt-oss-20bLeader
AA Intelligence Index14.710.0Gemma 4 31B
Epoch Capabilities Index143.0137.7Gemma 4 31B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemma 4 31B and gpt-oss-20b
BenchmarkGemma 4 31Bgpt-oss-20bLeader
AA Agentic Index4.2Not measuredOnly Gemma 4 31B measured
LiveBench research44.4%Not measuredOnly Gemma 4 31B measured
LiveBench browser4.0%Not measuredOnly Gemma 4 31B measured
LiveBench long agentic13.3%Not measuredOnly Gemma 4 31B measured
τ²-Bench Telecom65.5%60.2%Gemma 4 31B
BrowseComp-PlusNot measured50.6%Only gpt-oss-20b measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Gemma 4 31B and gpt-oss-20b
BenchmarkGemma 4 31Bgpt-oss-20bLeader
GPQA DiamondNot measured68.9%Only gpt-oss-20b measured
LiveBench reasoning68.3%Not measuredOnly Gemma 4 31B measured
GPQA Diamond (Artificial Analysis run)85.7%68.8%Gemma 4 31B
Humanity's Last Exam (Artificial Analysis run)23.6%11.0%Gemma 4 31B
GPQA Diamond (Epoch AI run)75.8%60.8%Gemma 4 31B
LMArena Text: hard prompts14481274Gemma 4 31B
LMArena Text: expert14641258Gemma 4 31B
LMArena Text: hard prompts in English14561292Gemma 4 31B
LMArena Vision: diagrams1283Not measuredOnly Gemma 4 31B measured
LMArena Vision: homework1310Not measuredOnly Gemma 4 31B measured
Kagi LLM Benchmark63.5%53.2%Gemma 4 31B
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemma 4 31B and gpt-oss-20b
BenchmarkGemma 4 31Bgpt-oss-20bLeader
AIMENot measured86.0%Only gpt-oss-20b measured
MATH 500 (Vals AI)Not measured94.2%Only gpt-oss-20b measured
MGSM (Vals AI)Not measured89.0%Only gpt-oss-20b measured
AA Math IndexNot measured89.3Only gpt-oss-20b measured
AIME 2025 (Artificial Analysis run)Not measured89.3%Only gpt-oss-20b measured
OTIS Mock AIME73.3%65.3%Gemma 4 31B
LMArena Text: math14631317Gemma 4 31B
LMArena Text: mathematical work14651305Gemma 4 31B
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 Gemma 4 31B and gpt-oss-20b
BenchmarkGemma 4 31Bgpt-oss-20bLeader
MMLU ProNot measured71.6%Only gpt-oss-20b measured
LegalBench (Vals AI)Not measured70.8%Only gpt-oss-20b measured
CaseLaw (Vals AI)52.6%43.8%Gemma 4 31B
CorpFin (Vals AI)Not measured53.1%Only gpt-oss-20b measured
TaxEval (Vals AI)Not measured63.7%Only gpt-oss-20b measured
MortgageTax (Vals AI)61.4%Not measuredOnly Gemma 4 31B measured
MedQA (Vals AI)Not measured82.9%Only gpt-oss-20b measured
MMLU Pro (Artificial Analysis run)Not measured74.8%Only gpt-oss-20b measured
SimpleQA Verified10.4%Not measuredOnly Gemma 4 31B measured
LMArena Text: science14571296Gemma 4 31B
LMArena Text: medicine and healthcare14511310Gemma 4 31B
LMArena Text: legal and government14381280Gemma 4 31B
LMArena Text: business and finance14301284Gemma 4 31B
FACTS Benchmark Suite45.3%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Web design benchmarks for Gemma 4 31B and gpt-oss-20b
BenchmarkGemma 4 31Bgpt-oss-20bLeader
Design Arena: websitesNot measured852Only gpt-oss-20b measured
Design Arena: data vizNot measured933Only gpt-oss-20b measured
LiveBench design58.4%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 6 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Gemma 4 31B and gpt-oss-20b
BenchmarkGemma 4 31Bgpt-oss-20bLeader
LiveBench data analysis53.3%Not measuredOnly Gemma 4 31B measured
SAGE (Vals AI)55.0%Not measuredOnly Gemma 4 31B measured
IFBench75.6%65.1%Gemma 4 31B
Long context reasoning (AA-LCR)69.7%34.7%Gemma 4 31B
DTBench82.7%68.0%Gemma 4 31B
LMCA39.3%14.5%Gemma 4 31B
Surface Evolver Bench30.6%Not measuredOnly Gemma 4 31B measured
LMArena Text14431288Gemma 4 31B
LMArena Text: instruction following14331236Gemma 4 31B
LMArena Text: creative writing14171201Gemma 4 31B
LMArena Vision1276Not measuredOnly Gemma 4 31B measured
LMArena Text: English14511303Gemma 4 31B
LMArena Text: non-English14301269Gemma 4 31B
LMArena Text: Chinese14751315Gemma 4 31B
LMArena Text: GermanNot measured1255Only gpt-oss-20b measured
LMArena Text: JapaneseNot measured1244Only gpt-oss-20b measured
LMArena Text: KoreanNot measured1236Only gpt-oss-20b measured
LMArena Text: French1436Not measuredOnly Gemma 4 31B measured
LMArena Text: Spanish14421267Gemma 4 31B
LMArena Text: Russian14601278Gemma 4 31B
LMArena Text: Polish14331252Gemma 4 31B
LMArena Text: multi-turn14521268Gemma 4 31B
LMArena Text: longer queries14461250Gemma 4 31B
LMArena Text: writing and language14321238Gemma 4 31B
LMArena Text: entertainment and media14051216Gemma 4 31B
LMArena Vision: English1271Not measuredOnly Gemma 4 31B measured
LMArena Vision: Chinese1326Not measuredOnly Gemma 4 31B measured
LMArena Vision: reading text1282Not measuredOnly Gemma 4 31B measured
LMArena Vision: humor1280Not measuredOnly Gemma 4 31B measured
LMArena Vision: captioning1218Not measuredOnly Gemma 4 31B measured
LMArena Vision: recognizing things1226Not measuredOnly Gemma 4 31B measured
LMArena Vision: creative writing1285Not measuredOnly Gemma 4 31B measured
LMArena Document1425Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 4 31B and gpt-oss-20b
BenchmarkGemma 4 31Bgpt-oss-20bLeader
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 31B$0.0003Fits in one request
gpt-oss-20b$0.0001Fits in one request

gpt-oss-20b costs less

Repository review

50K input + 3K output tokens

Gemma 4 31B$0.0082Fits in one request
gpt-oss-20b$0.0019Fits in one request

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

Gemma 4 31B$0.032Fits in one request
gpt-oss-20b$0.0075Exceeds 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 Gemma 4 31B and gpt-oss-20b
SpecificationGoogle Gemma 4 31BOpenAI gpt-oss-20b
MakerGoogleOpenAI
WeightsOpen weightsOpen weights
ReleasedApril 2, 2026August 5, 2025
Context window262K131K
Input $/Mtok$0.14$0.03
Output $/Mtok$0.40$0.15
Coding index39.0Not benchmarked
Independent measurements behind it20
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 31B better than gpt-oss-20b for coding?

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; gpt-oss-20b has none, so the two cannot be ranked on coding. Pick gpt-oss-20b for output tokens 2.7x cheaper ($0.15 vs $0.40 per million).

Which is cheaper, Gemma 4 31B or gpt-oss-20b?

Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens; gpt-oss-20b costs $0.03 and $0.15. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 31B or gpt-oss-20b?

Gemma 4 31B, with 262K tokens against 131K.

How many benchmarks is the Gemma 4 31B vs gpt-oss-20b comparison based on?

41 benchmarks have a result for both models as of October 21, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and gpt-oss-20b's on 0. Where only one model has a result, the page says so instead of naming a winner.

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