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Gemma 2 27B vs gpt-oss-20b

gpt-oss-20b costs 4.3x less per output token than Gemma 2 27B ($0.15 vs $0.65 per million). Updated October 21, 2026; 33 benchmarks have a result for both.

Replace Gemma 2 27B Replace gpt-oss-20b
Gemma 2 27BGoogle
Coding
No data
Overall
No data
Output $/M
$0.65
3
gpt-oss-20bOpenAI
Coding
No data
Overall
38.5
Output $/M
$0.15
30
vs boards won of 33 shared

Gemma 2 27B or gpt-oss-20b: 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-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
33
Gemma 2 27B only
3
gpt-oss-20b only
29
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-20b not benchmarked.
Widest category
Math, 31.8 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: Gemma 2 27B 1.4% against gpt-oss-20b 65.3%, 63.9 points apart on a 0 to 100 scale.
Output price
Gemma 2 27B $0.65 against gpt-oss-20b $0.15 per million output tokens, 4.3x apart.
Context window
Gemma 2 27B takes 8K 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 2 27BBarsgpt-oss-20bTies
Coding02
Intelligence01
Reasoning04
Math03
Knowledge05
General315
All shared boards330
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Gemma 2 27B and gpt-oss-20b
BenchmarkGemma 2 27Bgpt-oss-20bLeader
LiveCodeBench (Vals AI)Not measured80.4%Only gpt-oss-20b measured
LiveCodeBench (Artificial Analysis run)Not measured77.7%Only gpt-oss-20b measured
SciCodeNot measured38.9%Only gpt-oss-20b measured
Terminal-Bench Hard (Artificial Analysis run)Not measured10.6%Only gpt-oss-20b measured
Terminal-BenchNot measured3.4%Only gpt-oss-20b measured
WeirdMLNot measured40.9%Only gpt-oss-20b measured
ALE-BenchNot measured566.0Only gpt-oss-20b measured
LMArena Text: coding12111307gpt-oss-20b
LMArena Text: software and IT12281311gpt-oss-20b
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 2 27B and gpt-oss-20b
BenchmarkGemma 2 27Bgpt-oss-20bLeader
AA Intelligence IndexNot measured10.0Only gpt-oss-20b measured
Epoch Capabilities Index122.1137.7gpt-oss-20b
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Gemma 2 27B and gpt-oss-20b
BenchmarkGemma 2 27Bgpt-oss-20bLeader
τ²-Bench TelecomNot measured60.2%Only gpt-oss-20b measured
BrowseComp-PlusNot measured50.6%Only gpt-oss-20b measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for Gemma 2 27B and gpt-oss-20b
BenchmarkGemma 2 27Bgpt-oss-20bLeader
GPQA DiamondNot measured68.9%Only gpt-oss-20b measured
GPQA Diamond (Artificial Analysis run)Not measured68.8%Only gpt-oss-20b measured
Humanity's Last Exam (Artificial Analysis run)Not measured11.0%Only gpt-oss-20b measured
GPQA Diamond (Epoch AI run)36.5%60.8%gpt-oss-20b
LMArena Text: hard prompts11981274gpt-oss-20b
LMArena Text: expert11711258gpt-oss-20b
LMArena Text: hard prompts in English12061292gpt-oss-20b
Kagi LLM BenchmarkNot measured53.2%Only gpt-oss-20b measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Gemma 2 27B and gpt-oss-20b
BenchmarkGemma 2 27Bgpt-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 AIME1.4%65.3%gpt-oss-20b
MATH level 527.9%Not measuredOnly Gemma 2 27B measured
LMArena Text: math12121317gpt-oss-20b
LMArena Text: mathematical work12211305gpt-oss-20b
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-20b
BenchmarkGemma 2 27Bgpt-oss-20bLeader
MMLU ProNot measured71.6%Only gpt-oss-20b measured
LegalBench (Vals AI)68.0%70.8%gpt-oss-20b
CaseLaw (Vals AI)Not measured43.8%Only gpt-oss-20b measured
CorpFin (Vals AI)Not measured53.1%Only gpt-oss-20b measured
TaxEval (Vals AI)Not measured63.7%Only gpt-oss-20b 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
MMLU75.7%Not measuredOnly Gemma 2 27B measured
LMArena Text: science12281296gpt-oss-20b
LMArena Text: medicine and healthcare11981310gpt-oss-20b
LMArena Text: legal and government12411280gpt-oss-20b
LMArena Text: business and finance12081284gpt-oss-20b
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Web design benchmarks for Gemma 2 27B and gpt-oss-20b
BenchmarkGemma 2 27Bgpt-oss-20bLeader
Design Arena: websitesNot measured852Only gpt-oss-20b measured
Design Arena: data vizNot measured933Only gpt-oss-20b measured
Neither model has a result on the other 7 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index315
General benchmarks for Gemma 2 27B and gpt-oss-20b
BenchmarkGemma 2 27Bgpt-oss-20bLeader
IFBenchNot measured65.1%Only gpt-oss-20b measured
Long context reasoning (AA-LCR)Not measured34.7%Only gpt-oss-20b measured
DTBench48.0%68.0%gpt-oss-20b
LMCA7.1%14.5%gpt-oss-20b
LMArena Text12311288gpt-oss-20b
LMArena Text: instruction following12061236gpt-oss-20b
LMArena Text: creative writing12401201Gemma 2 27B
LMArena Text: English12421303gpt-oss-20b
LMArena Text: non-English12171269gpt-oss-20b
LMArena Text: Chinese12211315gpt-oss-20b
LMArena Text: German12091255gpt-oss-20b
LMArena Text: Japanese11751244gpt-oss-20b
LMArena Text: Korean11741236gpt-oss-20b
LMArena Text: French1248Not measuredOnly Gemma 2 27B measured
LMArena Text: Spanish12281267gpt-oss-20b
LMArena Text: Russian12341278gpt-oss-20b
LMArena Text: Polish12771252Gemma 2 27B
LMArena Text: multi-turn12241268gpt-oss-20b
LMArena Text: longer queries12301250gpt-oss-20b
LMArena Text: writing and language12491238Gemma 2 27B
LMArena Text: entertainment and media12121216gpt-oss-20b
Neither model has a result on the other 25 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-20b
BenchmarkGemma 2 27Bgpt-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 2 27B$0.0010Fits in one request
gpt-oss-20b$0.0001Fits in one request

gpt-oss-20b costs less

Repository review

50K input + 3K output tokens

Gemma 2 27B$0.034Exceeds the context window
gpt-oss-20b$0.0019Fits in one request

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

Gemma 2 27B$0.137Exceeds the context window
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 2 27B and gpt-oss-20b
SpecificationGoogle Gemma 2 27BOpenAI gpt-oss-20b
MakerGoogleOpenAI
WeightsOpen weightsOpen weights
ReleasedJuly 13, 2024August 5, 2025
Context window8K131K
Input $/Mtok$0.65$0.03
Output $/Mtok$0.65$0.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 2 27B better than gpt-oss-20b 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-20b?

Gemma 2 27B costs $0.65 per million input tokens and $0.65 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 2 27B or gpt-oss-20b?

gpt-oss-20b, with 131K tokens against 8K.

How many benchmarks is the Gemma 2 27B vs gpt-oss-20b comparison based on?

33 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-20b's on 0. Where only one model has a result, the page says so instead of naming a winner.

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