Enter opens the highlighted result. Esc closes.

Gemma 3 27B vs GPT-4o-mini (2024-07-18)

Gemma 3 27B costs 2.0x less per output token than GPT-4o-mini (2024-07-18) ($0.30 vs $0.60 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Gemma 3 27BGoogle
Coding
No data
Overall
31.4
Output $/M
$0.30
36
GPT-4o-mini (2024-07-18)OpenAI
Coding
No data
Overall
No data
Output $/M
$0.60
1
vs boards won of 37 shared

Gemma 3 27B or GPT-4o-mini (2024-07-18): which to pick

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

Pick Gemma 3 27B for output tokens 2.0x cheaper ($0.30 vs $0.60 per million) and a larger context window (131K against 128K tokens).

Shared results
37
Gemma 3 27B only
29
GPT-4o-mini (2024-07-18) only
9
Like-for-like categories
5 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 3 27B not benchmarked, GPT-4o-mini (2024-07-18) not benchmarked.
Widest category
Knowledge, 14.8 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Vision: Chinese: Gemma 3 27B 1164 against GPT-4o-mini (2024-07-18) 1033, 21.7 points apart on a 0 to 100 scale.
Output price
Gemma 3 27B $0.30 against GPT-4o-mini (2024-07-18) $0.60 per million output tokens, 2.0x apart.
Context window
Gemma 3 27B takes 131K tokens, GPT-4o-mini (2024-07-18) 128K.

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 3 27BBarsGPT-4o-mini (2024-07-18)Ties
Coding30
Reasoning40
Math40
Knowledge41
General210
All shared boards361
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Gemma 3 27B and GPT-4o-mini (2024-07-18)
BenchmarkGemma 3 27BGPT-4o-mini (2024-07-18)Leader
Aider polyglot4.9%3.6%Gemma 3 27B
AA Coding Index10.1Not measuredOnly Gemma 3 27B measured
LiveCodeBench (Artificial Analysis run)13.7%Not measuredOnly Gemma 3 27B measured
SciCode23.3%Not measuredOnly Gemma 3 27B measured
Terminal-Bench Hard (Artificial Analysis run)3.8%Not measuredOnly Gemma 3 27B measured
WeirdMLNot measured11.8%Only GPT-4o-mini (2024-07-18) measured
LMArena Text: coding13221290Gemma 3 27B
LMArena Text: software and IT13541291Gemma 3 27B
SciCode0.0%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemma 3 27B and GPT-4o-mini (2024-07-18)
BenchmarkGemma 3 27BGPT-4o-mini (2024-07-18)Leader
AA Intelligence Index4.9Not measuredOnly Gemma 3 27B measured
Epoch Capabilities Index130.0Not measuredOnly Gemma 3 27B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Gemma 3 27B and GPT-4o-mini (2024-07-18)
BenchmarkGemma 3 27BGPT-4o-mini (2024-07-18)Leader
AA Agentic Index0.1Not measuredOnly Gemma 3 27B measured
τ²-Bench Telecom10.5%Not measuredOnly Gemma 3 27B measured
BALROGNot measured17.4%Only GPT-4o-mini (2024-07-18) measured
Berkeley Function Calling Leaderboard (BFCL)29.5%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Gemma 3 27B and GPT-4o-mini (2024-07-18)
BenchmarkGemma 3 27BGPT-4o-mini (2024-07-18)Leader
GPQA Diamond (Artificial Analysis run)42.8%Not measuredOnly Gemma 3 27B measured
Humanity's Last Exam (Artificial Analysis run)4.4%Not measuredOnly Gemma 3 27B measured
GPQA Diamond (Epoch AI run)47.7%37.7%Gemma 3 27B
SimpleBenchNot measured10.7%Only GPT-4o-mini (2024-07-18) measured
Chess puzzlesNot measured3.0%Only GPT-4o-mini (2024-07-18) measured
Mystery game puzzlesNot measured12.0%Only GPT-4o-mini (2024-07-18) measured
VPCTNot measured34.0%Only GPT-4o-mini (2024-07-18) measured
LMArena Text: hard prompts13401267Gemma 3 27B
LMArena Text: expert13041234Gemma 3 27B
LMArena Text: hard prompts in English13531278Gemma 3 27B
LMArena Vision: diagrams1156Not measuredOnly Gemma 3 27B measured
LMArena Vision: homework1160Not measuredOnly Gemma 3 27B measured
Kagi LLM Benchmark35.1%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemma 3 27B and GPT-4o-mini (2024-07-18)
BenchmarkGemma 3 27BGPT-4o-mini (2024-07-18)Leader
AA Math Index20.7Not measuredOnly Gemma 3 27B measured
AIME 2025 (Artificial Analysis run)20.7%Not measuredOnly Gemma 3 27B measured
OTIS Mock AIME22.5%6.9%Gemma 3 27B
FrontierMath, tiers 1 to 3Not measured0.7%Only GPT-4o-mini (2024-07-18) measured
MATH level 574.0%52.6%Gemma 3 27B
LMArena Text: math13121267Gemma 3 27B
LMArena Text: mathematical work13271271Gemma 3 27B
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Gemma 3 27B and GPT-4o-mini (2024-07-18)
BenchmarkGemma 3 27BGPT-4o-mini (2024-07-18)Leader
MMLU Pro (Artificial Analysis run)66.9%Not measuredOnly Gemma 3 27B measured
SimpleQA VerifiedNot measured8.3%Only GPT-4o-mini (2024-07-18) measured
MMLUNot measured76.7%Only GPT-4o-mini (2024-07-18) measured
GeoBench52.0%64.0%GPT-4o-mini (2024-07-18)
LMArena Text: science13831286Gemma 3 27B
LMArena Text: medicine and healthcare13911282Gemma 3 27B
LMArena Text: legal and government13751305Gemma 3 27B
LMArena Text: business and finance13601265Gemma 3 27B
FACTS Benchmark Suite29.1%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 11 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemma 3 27B and GPT-4o-mini (2024-07-18)
BenchmarkGemma 3 27BGPT-4o-mini (2024-07-18)Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for Gemma 3 27B and GPT-4o-mini (2024-07-18)
BenchmarkGemma 3 27BGPT-4o-mini (2024-07-18)Leader
IFBench31.8%Not measuredOnly Gemma 3 27B measured
Long context reasoning (AA-LCR)7.3%Not measuredOnly Gemma 3 27B measured
DTBench52.5%Not measuredOnly Gemma 3 27B measured
LMCA12.3%Not measuredOnly Gemma 3 27B measured
Fiction.LiveBench33.3%Not measuredOnly Gemma 3 27B measured
Creative writing (Lech Mazur)79.9%67.2%Gemma 3 27B
LMArena Text13581286Gemma 3 27B
LMArena Text: instruction following13211258Gemma 3 27B
LMArena Text: creative writing13451268Gemma 3 27B
LMArena Vision11651066Gemma 3 27B
LMArena Text: English13771301Gemma 3 27B
LMArena Text: non-English13341266Gemma 3 27B
LMArena Text: Chinese13461265Gemma 3 27B
LMArena Text: German13621272Gemma 3 27B
LMArena Text: Japanese12871216Gemma 3 27B
LMArena Text: Korean13081195Gemma 3 27B
LMArena Text: French13681297Gemma 3 27B
LMArena Text: Spanish13491276Gemma 3 27B
LMArena Text: Russian13491275Gemma 3 27B
LMArena Text: Polish13451244Gemma 3 27B
LMArena Text: multi-turn13451285Gemma 3 27B
LMArena Text: longer queries13331289Gemma 3 27B
LMArena Text: writing and language13471282Gemma 3 27B
LMArena Text: entertainment and media13201253Gemma 3 27B
LMArena Vision: English11881072Gemma 3 27B
LMArena Vision: Chinese11641033Gemma 3 27B
LMArena Vision: reading text1156Not measuredOnly Gemma 3 27B measured
LMArena Vision: humor1166Not measuredOnly Gemma 3 27B measured
LMArena Vision: captioning1151Not measuredOnly Gemma 3 27B measured
LMArena Vision: recognizing things1196Not measuredOnly Gemma 3 27B measured
LMArena Vision: creative writing1177Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 3 27B and GPT-4o-mini (2024-07-18)
BenchmarkGemma 3 27BGPT-4o-mini (2024-07-18)Leader
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 3 27B$0.0002Fits in one request
GPT-4o-mini (2024-07-18)$0.0004Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Gemma 3 27B$0.0049Fits in one request
GPT-4o-mini (2024-07-18)$0.0093Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 27B$0.019Exceeds the context window
GPT-4o-mini (2024-07-18)$0.036Exceeds the context window

Gemma 3 27B 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 3 27B and GPT-4o-mini (2024-07-18)
SpecificationGoogle Gemma 3 27BOpenAI GPT-4o-mini (2024-07-18)
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 12, 2025July 18, 2024
Context window131K128K
Input $/Mtok$0.08$0.15
Output $/Mtok$0.30$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 27B better than GPT-4o-mini (2024-07-18) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 3 27B for output tokens 2.0x cheaper ($0.30 vs $0.60 per million) and a larger context window (131K against 128K tokens).

Which is cheaper, Gemma 3 27B or GPT-4o-mini (2024-07-18)?

Gemma 3 27B costs $0.08 per million input tokens and $0.30 per million output tokens; GPT-4o-mini (2024-07-18) costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 3 27B or GPT-4o-mini (2024-07-18)?

Gemma 3 27B, with 131K tokens against 128K.

How many benchmarks is the Gemma 3 27B vs GPT-4o-mini (2024-07-18) comparison based on?

37 benchmarks have a result for both models as of October 22, 2026. Gemma 3 27B's coding index rests on 0 independent benchmarks and GPT-4o-mini (2024-07-18)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next