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Gemma 2 27B vs GPT-4.1 Nano

GPT-4.1 Nano costs 1.6x less per output token than Gemma 2 27B ($0.40 vs $0.65 per million). Updated October 22, 2026; 31 benchmarks have a result for both.

Replace Gemma 2 27B Replace GPT-4.1 Nano
Gemma 2 27BGoogle
Coding
No data
Overall
No data
Output $/M
$0.65
2
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
29
vs boards won of 31 shared

Gemma 2 27B or GPT-4.1 Nano: 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-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
31
Gemma 2 27B only
5
GPT-4.1 Nano only
40
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-4.1 Nano not benchmarked.
Widest category
Math, 22.2 points apart on average over 4 shared benchmarks.
Widest single gap
MATH level 5: Gemma 2 27B 27.9% against GPT-4.1 Nano 70.0%, 42.1 points apart on a 0 to 100 scale.
Output price
Gemma 2 27B $0.65 against GPT-4.1 Nano $0.40 per million output tokens, 1.6x apart.
Context window
Gemma 2 27B takes 8K tokens, GPT-4.1 Nano 1.05M.

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-4.1 NanoTies
Coding02
Intelligence01
Reasoning04
Math04
Knowledge14
General114
All shared boards229
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Gemma 2 27B and GPT-4.1 Nano
BenchmarkGemma 2 27BGPT-4.1 NanoLeader
Aider polyglotNot measured8.9%Only GPT-4.1 Nano measured
AA Coding IndexNot measured11.1Only GPT-4.1 Nano measured
LiveCodeBench (Vals AI)Not measured42.7%Only GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)Not measured32.6%Only GPT-4.1 Nano measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only GPT-4.1 Nano measured
WeirdMLNot measured19.0%Only GPT-4.1 Nano measured
LMArena Text: coding12111306GPT-4.1 Nano
LMArena Text: software and IT12281305GPT-4.1 Nano
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 2 27B and GPT-4.1 Nano
BenchmarkGemma 2 27BGPT-4.1 NanoLeader
AA Intelligence IndexNot measured7.8Only GPT-4.1 Nano measured
Epoch Capabilities Index122.1129.5GPT-4.1 Nano
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Gemma 2 27B and GPT-4.1 Nano
BenchmarkGemma 2 27BGPT-4.1 NanoLeader
τ²-Bench TelecomNot measured17.3%Only GPT-4.1 Nano measured
Berkeley Function Calling Leaderboard (BFCL)Not measured33.1%Only GPT-4.1 Nano 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-4.1 Nano
BenchmarkGemma 2 27BGPT-4.1 NanoLeader
GPQA DiamondNot measured50.8%Only GPT-4.1 Nano measured
MMMU Pro (Vals AI)Not measured55.0%Only GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)Not measured51.2%Only GPT-4.1 Nano measured
Humanity's Last Exam (Artificial Analysis run)Not measured3.8%Only GPT-4.1 Nano measured
GPQA Diamond (Epoch AI run)36.5%48.9%GPT-4.1 Nano
ARC-AGINot measured0.0%Only GPT-4.1 Nano measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Nano measured
Chess puzzlesNot measured0.0%Only GPT-4.1 Nano measured
LMArena Text: hard prompts11981286GPT-4.1 Nano
LMArena Text: expert11711271GPT-4.1 Nano
LMArena Text: hard prompts in English12061293GPT-4.1 Nano
Kagi LLM BenchmarkNot measured33.3%Only GPT-4.1 Nano measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Gemma 2 27B and GPT-4.1 Nano
BenchmarkGemma 2 27BGPT-4.1 NanoLeader
AIMENot measured26.5%Only GPT-4.1 Nano measured
MATH 500 (Vals AI)Not measured80.2%Only GPT-4.1 Nano measured
MGSM (Vals AI)Not measured69.3%Only GPT-4.1 Nano measured
AA Math IndexNot measured24.0Only GPT-4.1 Nano measured
AIME 2025 (Artificial Analysis run)Not measured24.0%Only GPT-4.1 Nano measured
OTIS Mock AIME1.4%28.9%GPT-4.1 Nano
MATH level 527.9%70.0%GPT-4.1 Nano
LMArena Text: math12121274GPT-4.1 Nano
LMArena Text: mathematical work12211274GPT-4.1 Nano
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for Gemma 2 27B and GPT-4.1 Nano
BenchmarkGemma 2 27BGPT-4.1 NanoLeader
MMLU ProNot measured63.5%Only GPT-4.1 Nano measured
LegalBench (Vals AI)68.0%61.1%Gemma 2 27B
CorpFin (Vals AI)Not measured42.1%Only GPT-4.1 Nano measured
TaxEval (Vals AI)Not measured60.8%Only GPT-4.1 Nano measured
MortgageTax (Vals AI)Not measured52.8%Only GPT-4.1 Nano measured
MedQA (Vals AI)Not measured68.2%Only GPT-4.1 Nano measured
MMLU Pro (Artificial Analysis run)Not measured65.7%Only GPT-4.1 Nano measured
SimpleQA VerifiedNot measured6.0%Only GPT-4.1 Nano measured
MMLU75.7%Not measuredOnly Gemma 2 27B measured
LMArena Text: science12281297GPT-4.1 Nano
LMArena Text: medicine and healthcare11981276GPT-4.1 Nano
LMArena Text: legal and government12411300GPT-4.1 Nano
LMArena Text: business and finance12081267GPT-4.1 Nano
Neither model has a result on the other 5 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-4.1 Nano
BenchmarkGemma 2 27BGPT-4.1 NanoLeader
Design Arena: websitesNot measured972Only GPT-4.1 Nano measured
Design Arena: UI componentsNot measured913Only GPT-4.1 Nano measured
Design Arena: game devNot measured970Only GPT-4.1 Nano measured
Design Arena: data vizNot measured891Only GPT-4.1 Nano measured
Design Arena: 3DNot measured924Only GPT-4.1 Nano measured
Design Arena: all code categoriesNot measured962Only GPT-4.1 Nano measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index114
General benchmarks for Gemma 2 27B and GPT-4.1 Nano
BenchmarkGemma 2 27BGPT-4.1 NanoLeader
IFBenchNot measured32.0%Only GPT-4.1 Nano measured
Long context reasoning (AA-LCR)Not measured20.3%Only GPT-4.1 Nano measured
DTBench48.0%52.5%GPT-4.1 Nano
LMCA7.1%5.5%Gemma 2 27B
Fiction.LiveBenchNot measured25.0%Only GPT-4.1 Nano measured
LMArena Text12311285GPT-4.1 Nano
LMArena Text: instruction following12061266GPT-4.1 Nano
LMArena Text: creative writing12401260GPT-4.1 Nano
LMArena VisionNot measured1063Only GPT-4.1 Nano measured
LMArena Text: English12421303GPT-4.1 Nano
LMArena Text: non-English12171260GPT-4.1 Nano
LMArena Text: Chinese12211270GPT-4.1 Nano
LMArena Text: German12091288GPT-4.1 Nano
LMArena Text: Japanese11751198GPT-4.1 Nano
LMArena Text: Korean1174Not measuredOnly Gemma 2 27B measured
LMArena Text: French1248Not measuredOnly Gemma 2 27B measured
LMArena Text: Spanish1228Not measuredOnly Gemma 2 27B measured
LMArena Text: Russian12341261GPT-4.1 Nano
LMArena Text: Polish1277Not measuredOnly Gemma 2 27B measured
LMArena Text: multi-turn12241277GPT-4.1 Nano
LMArena Text: longer queries12301283GPT-4.1 Nano
LMArena Text: writing and language12491261GPT-4.1 Nano
LMArena Text: entertainment and media12121243GPT-4.1 Nano
LMArena Vision: EnglishNot measured1101Only GPT-4.1 Nano measured
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-4.1 Nano
BenchmarkGemma 2 27BGPT-4.1 NanoLeader
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-4.1 Nano$0.0003Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

Gemma 2 27B$0.034Exceeds the context window
GPT-4.1 Nano$0.0062Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

Gemma 2 27B$0.137Exceeds the context window
GPT-4.1 Nano$0.024Fits in one request

GPT-4.1 Nano 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-4.1 Nano
SpecificationGoogle Gemma 2 27BOpenAI GPT-4.1 Nano
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJuly 13, 2024April 14, 2025
Context window8K1.05M
Input $/Mtok$0.65$0.10
Output $/Mtok$0.65$0.40
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-4.1 Nano 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-4.1 Nano?

Gemma 2 27B costs $0.65 per million input tokens and $0.65 per million output tokens; GPT-4.1 Nano costs $0.10 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 2 27B or GPT-4.1 Nano?

GPT-4.1 Nano, with 1.05M tokens against 8K.

How many benchmarks is the Gemma 2 27B vs GPT-4.1 Nano comparison based on?

31 benchmarks have a result for both models as of October 22, 2026. Gemma 2 27B's coding index rests on 0 independent benchmarks and GPT-4.1 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.

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