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Gemma 4 31B vs gpt-oss-120b

Gemma 4 31B leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 14.7 to 11.6, and Gemma 4 31B costs 1.3x less per output token ($0.40 vs $0.50 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

Gemma 4 31BGoogle
Coding
39.0
Overall
42.1
Output $/M
$0.40
43
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
2
vs boards won of 46 shared, 1 tied

Gemma 4 31B or gpt-oss-120b: which to pick

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding.

Pick gpt-oss-120b for work measured by τ²-Bench Telecom or OTIS Mock AIME, where it leads.

Shared results
46
Gemma 4 31B only
25
gpt-oss-120b only
35
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-120b not benchmarked.
Widest category
General, 14.9 points apart on average over 19 shared benchmarks.
Widest single gap
LMArena Text: creative writing: Gemma 4 31B 1417 against gpt-oss-120b 1274, 23.7 points apart on a 0 to 100 scale.
Output price
Gemma 4 31B $0.40 against gpt-oss-120b $0.50 per million output tokens, 1.3x apart.
Context window
Gemma 4 31B 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 31BBarsgpt-oss-120bTies
Coding80
Intelligence20
Agentic work11
Reasoning601 tie
Math21
Knowledge50
General190
All shared boards4321 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Gemma 4 31B and gpt-oss-120b
BenchmarkGemma 4 31Bgpt-oss-120bLeader
Aider polyglotNot measured41.8%Only gpt-oss-120b measured
SWE-bench VerifiedNot measured26.0%Only gpt-oss-120b measured
LiveBench coding49.0%Not measuredOnly Gemma 4 31B measured
LMArena WebDev1367Not measuredOnly Gemma 4 31B measured
AA Coding Index43.430.4Gemma 4 31B
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
SciCode45.5%34.0%Gemma 4 31B
Terminal-Bench Hard (Artificial Analysis run)36.4%23.5%Gemma 4 31B
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
WeirdML52.3%48.2%Gemma 4 31B
ALE-Bench925.5575.6Gemma 4 31B
LMArena Text: coding14591379Gemma 4 31B
LMArena Text: software and IT14631387Gemma 4 31B
LMArena WebDev: React1359Not measuredOnly Gemma 4 31B measured
LMArena WebDev: HTML1380Not measuredOnly Gemma 4 31B measured
SciCode8.9%7.7%Gemma 4 31B
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemma 4 31B and gpt-oss-120b
BenchmarkGemma 4 31Bgpt-oss-120bLeader
AA Intelligence Index14.711.6Gemma 4 31B
Epoch Capabilities Index143.0139.8Gemma 4 31B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Gemma 4 31B and gpt-oss-120b
BenchmarkGemma 4 31Bgpt-oss-120bLeader
AA Agentic Index4.23.7Gemma 4 31B
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%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 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Gemma 4 31B and gpt-oss-120b
BenchmarkGemma 4 31Bgpt-oss-120bLeader
GPQA DiamondNot measured78.5%Only gpt-oss-120b measured
LiveBench reasoning68.3%Not measuredOnly Gemma 4 31B measured
GPQA Diamond (Artificial Analysis run)85.7%78.2%Gemma 4 31B
Humanity's Last Exam (Artificial Analysis run)23.6%19.6%Gemma 4 31B
GPQA Diamond (Epoch AI run)75.8%75.8%Tie
SimpleBenchNot measured22.1%Only gpt-oss-120b measured
Mystery game puzzlesNot measured2.0%Only gpt-oss-120b measured
LMArena Text: hard prompts14481364Gemma 4 31B
LMArena Text: expert14641356Gemma 4 31B
LMArena Text: hard prompts in English14561368Gemma 4 31B
LMArena Vision: diagrams1283Not measuredOnly Gemma 4 31B measured
LMArena Vision: homework1310Not measuredOnly Gemma 4 31B measured
Kagi LLM Benchmark63.5%58.6%Gemma 4 31B
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for Gemma 4 31B and gpt-oss-120b
BenchmarkGemma 4 31Bgpt-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 AIME73.3%88.9%gpt-oss-120b
LMArena Text: math14631389Gemma 4 31B
LMArena Text: mathematical work14651386Gemma 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-120b
BenchmarkGemma 4 31Bgpt-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)52.6%48.8%Gemma 4 31B
CorpFin (Vals AI)Not measured58.2%Only gpt-oss-120b measured
TaxEval (Vals AI)Not measured71.6%Only gpt-oss-120b measured
MortgageTax (Vals AI)61.4%Not measuredOnly Gemma 4 31B 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
SimpleQA Verified10.4%Not measuredOnly Gemma 4 31B measured
LMArena Text: science14571382Gemma 4 31B
LMArena Text: medicine and healthcare14511388Gemma 4 31B
LMArena Text: legal and government14381355Gemma 4 31B
LMArena Text: business and finance14301359Gemma 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 index7 boards, none shared
Web design benchmarks for Gemma 4 31B and gpt-oss-120b
BenchmarkGemma 4 31Bgpt-oss-120bLeader
Design Arena: websitesNot measured967Only 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 measured901Only gpt-oss-120b measured
Design Arena: all code categoriesNot measured962Only gpt-oss-120b measured
LiveBench design58.4%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Gemma 4 31B and gpt-oss-120b
BenchmarkGemma 4 31Bgpt-oss-120bLeader
LiveBench data analysis53.3%Not measuredOnly Gemma 4 31B measured
SAGE (Vals AI)55.0%Not measuredOnly Gemma 4 31B measured
IFBench75.6%69.0%Gemma 4 31B
Long context reasoning (AA-LCR)69.7%52.0%Gemma 4 31B
DTBench82.7%76.3%Gemma 4 31B
LMCA39.3%22.1%Gemma 4 31B
Fiction.LiveBenchNot measured44.4%Only gpt-oss-120b measured
Creative writing (Lech Mazur)Not measured77.1%Only gpt-oss-120b measured
Surface Evolver Bench30.6%25.0%Gemma 4 31B
LMArena Text14431366Gemma 4 31B
LMArena Text: instruction following14331318Gemma 4 31B
LMArena Text: creative writing14171274Gemma 4 31B
LMArena Vision1276Not measuredOnly Gemma 4 31B measured
LMArena Text: English14511375Gemma 4 31B
LMArena Text: non-English14301351Gemma 4 31B
LMArena Text: Chinese14751385Gemma 4 31B
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: French14361370Gemma 4 31B
LMArena Text: Spanish14421389Gemma 4 31B
LMArena Text: Russian14601343Gemma 4 31B
LMArena Text: Polish14331353Gemma 4 31B
LMArena Text: multi-turn14521340Gemma 4 31B
LMArena Text: longer queries14461319Gemma 4 31B
LMArena Text: writing and language14321306Gemma 4 31B
LMArena Text: entertainment and media14051292Gemma 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 11 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-120b
BenchmarkGemma 4 31Bgpt-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 31B$0.0003Fits in one request
gpt-oss-120b$0.0003Fits in one request

Gemma 4 31B costs less

Repository review

50K input + 3K output tokens

Gemma 4 31B$0.0082Fits 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 31B$0.032Fits 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 31B and gpt-oss-120b
SpecificationGoogle Gemma 4 31BOpenAI gpt-oss-120b
MakerGoogleOpenAI
WeightsOpen weightsOpen weights
ReleasedApril 2, 2026August 5, 2025
Context window262K131K
Input $/Mtok$0.14$0.10
Output $/Mtok$0.40$0.50
Coding index39.0Not benchmarked
Independent measurements behind it21
Cost per solved taskNot computable$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 31B better than gpt-oss-120b for coding?

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding. Pick gpt-oss-120b for work measured by τ²-Bench Telecom or OTIS Mock AIME, where it leads.

Which is cheaper, Gemma 4 31B or gpt-oss-120b?

Gemma 4 31B costs $0.14 per million input tokens and $0.40 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 31B or gpt-oss-120b?

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

How many benchmarks is the Gemma 4 31B vs gpt-oss-120b comparison based on?

46 benchmarks have a result for both models as of October 22, 2026. Gemma 4 31B's coding index rests on 2 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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