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Gemma 2 27B vs gpt-oss-120b

gpt-oss-120b costs 1.3x less per output token than Gemma 2 27B ($0.50 vs $0.65 per million). Updated October 21, 2026; 34 benchmarks have a result for both.

Replace Gemma 2 27B Replace gpt-oss-120b
Gemma 2 27BGoogle
Coding
No data
Overall
No data
Output $/M
$0.65
0
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
34
vs boards won of 34 shared

Gemma 2 27B or gpt-oss-120b: which to pick

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

Pick Gemma 2 27B for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGemma 2 27BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task
Shared results
34
Gemma 2 27B only
2
gpt-oss-120b only
47
Like-for-like categories
6 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 2 27B not benchmarked, gpt-oss-120b not benchmarked.
Widest category
Math, 48.1 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: Gemma 2 27B 1.4% against gpt-oss-120b 88.9%, 87.5 points apart on a 0 to 100 scale.
Output price
Gemma 2 27B $0.65 against gpt-oss-120b $0.50 per million output tokens, 1.3x apart.
Context window
Gemma 2 27B takes 8K 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 2 27BBarsgpt-oss-120bTies
Coding02
Intelligence01
Reasoning04
Math03
Knowledge05
General019
All shared boards034
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Gemma 2 27B and gpt-oss-120b
BenchmarkGemma 2 27Bgpt-oss-120bLeader
Aider polyglotNot measured41.8%Only gpt-oss-120b measured
SWE-bench VerifiedNot measured26.0%Only gpt-oss-120b measured
AA Coding IndexNot measured30.4Only gpt-oss-120b measured
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
SciCodeNot measured34.0%Only gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)Not measured23.5%Only gpt-oss-120b measured
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: coding12111379gpt-oss-120b
LMArena Text: software and IT12281387gpt-oss-120b
SciCodeNot measured7.7%Only gpt-oss-120b measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 2 27B and gpt-oss-120b
BenchmarkGemma 2 27Bgpt-oss-120bLeader
AA Intelligence IndexNot measured11.6Only gpt-oss-120b measured
Epoch Capabilities Index122.1139.8gpt-oss-120b
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for Gemma 2 27B and gpt-oss-120b
BenchmarkGemma 2 27Bgpt-oss-120bLeader
AA Agentic IndexNot measured3.7Only gpt-oss-120b measured
τ²-Bench TelecomNot measured65.8%Only gpt-oss-120b measured
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 index04
Reasoning benchmarks for Gemma 2 27B and gpt-oss-120b
BenchmarkGemma 2 27Bgpt-oss-120bLeader
GPQA DiamondNot measured78.5%Only gpt-oss-120b measured
GPQA Diamond (Artificial Analysis run)Not measured78.2%Only gpt-oss-120b measured
Humanity's Last Exam (Artificial Analysis run)Not measured19.6%Only gpt-oss-120b measured
GPQA Diamond (Epoch AI run)36.5%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 prompts11981364gpt-oss-120b
LMArena Text: expert11711356gpt-oss-120b
LMArena Text: hard prompts in English12061368gpt-oss-120b
Kagi LLM BenchmarkNot measured58.6%Only gpt-oss-120b measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Gemma 2 27B and gpt-oss-120b
BenchmarkGemma 2 27Bgpt-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 AIME1.4%88.9%gpt-oss-120b
MATH level 527.9%Not measuredOnly Gemma 2 27B measured
LMArena Text: math12121389gpt-oss-120b
LMArena Text: mathematical work12211386gpt-oss-120b
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Gemma 2 27B and gpt-oss-120b
BenchmarkGemma 2 27Bgpt-oss-120bLeader
MMLU ProNot measured79.2%Only gpt-oss-120b measured
LegalBench (Vals AI)68.0%75.9%gpt-oss-120b
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
MMLU75.7%Not measuredOnly Gemma 2 27B measured
LMArena Text: science12281382gpt-oss-120b
LMArena Text: medicine and healthcare11981388gpt-oss-120b
LMArena Text: legal and government12411355gpt-oss-120b
LMArena Text: business and finance12081359gpt-oss-120b
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 2 27B and gpt-oss-120b
BenchmarkGemma 2 27Bgpt-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 index019
General benchmarks for Gemma 2 27B and gpt-oss-120b
BenchmarkGemma 2 27Bgpt-oss-120bLeader
IFBenchNot measured69.0%Only gpt-oss-120b measured
Long context reasoning (AA-LCR)Not measured52.0%Only gpt-oss-120b measured
DTBench48.0%76.3%gpt-oss-120b
LMCA7.1%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 Text12311366gpt-oss-120b
LMArena Text: instruction following12061318gpt-oss-120b
LMArena Text: creative writing12401274gpt-oss-120b
LMArena Text: English12421375gpt-oss-120b
LMArena Text: non-English12171351gpt-oss-120b
LMArena Text: Chinese12211385gpt-oss-120b
LMArena Text: German12091353gpt-oss-120b
LMArena Text: Japanese11751331gpt-oss-120b
LMArena Text: Korean11741282gpt-oss-120b
LMArena Text: French12481370gpt-oss-120b
LMArena Text: Spanish12281389gpt-oss-120b
LMArena Text: Russian12341343gpt-oss-120b
LMArena Text: Polish12771353gpt-oss-120b
LMArena Text: multi-turn12241340gpt-oss-120b
LMArena Text: longer queries12301319gpt-oss-120b
LMArena Text: writing and language12491306gpt-oss-120b
LMArena Text: entertainment and media12121292gpt-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 2 27B and gpt-oss-120b
BenchmarkGemma 2 27Bgpt-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 2 27B$0.0010Fits in one request
gpt-oss-120b$0.0003Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

Gemma 2 27B$0.034Exceeds the context window
gpt-oss-120b$0.0065Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

Gemma 2 27B$0.137Exceeds the context window
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 2 27B and gpt-oss-120b
SpecificationGoogle Gemma 2 27BOpenAI gpt-oss-120b
MakerGoogleOpenAI
WeightsOpen weightsOpen weights
ReleasedJuly 13, 2024August 5, 2025
Context window8K131K
Input $/Mtok$0.65$0.10
Output $/Mtok$0.65$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 2 27B better than gpt-oss-120b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 2 27B for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Gemma 2 27B or gpt-oss-120b?

Gemma 2 27B costs $0.65 per million input tokens and $0.65 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 2 27B or gpt-oss-120b?

gpt-oss-120b, with 131K tokens against 8K.

How many benchmarks is the Gemma 2 27B vs gpt-oss-120b comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. Gemma 2 27B'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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