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Gemma 3 27B vs GPT-5 Mini

Updated October 21, 2026. 58 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemma 3 27B Replace GPT-5 Mini
Gemma 3 27BGoogle
Coding
4.9
Overall
4.9
Output $/M
$0.35
6
GPT-5 MiniOpenAI
Coding
59.8
Overall
20.6
Output $/M
$2.00
52
vs boards won of 58 shared

Decision reading

Pick GPT-5 Mini for coding: it scores 59.8 on the Vibe Coding Index against 4.9 for Gemma 3 27B.

Pick Gemma 3 27B when output tokens cost 5.7x less, or when what matters is LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Model AGemma 3 27BGoogle4.9/1001 independent benchmarkNo cost per solved taskModel BGPT-5 MiniOpenAI59.8/1001 independent benchmark$0.08 per solved task
Shared results
58
Gemma 3 27B only
4
GPT-5 Mini only
40
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 4.9 from 1 benchmark, GPT-5 Mini 59.8 from 1 benchmark.
Widest category
Agentic work, 60.5 points apart on average over 1 shared benchmark.
Widest single gap
LiveCodeBench (Artificial Analysis run): Gemma 3 27B 13.7% against GPT-5 Mini 83.8%, 70.1 points apart on a 0 to 100 scale.
Output price
Gemma 3 27B $0.35 against GPT-5 Mini $2.00 per million output tokens, 5.7x apart.
Context window
Gemma 3 27B takes 131K tokens, GPT-5 Mini 400K.

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-5 MiniTies
Coding05
Intelligence02
Agentic work01
Reasoning08
Math06
Knowledge41
General229
All shared boards652
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for Gemma 3 27B and GPT-5 Mini
BenchmarkGemma 3 27BGPT-5 MiniLeader
Aider polyglot4.9%Not measuredOnly Gemma 3 27B measured
SWE-bench VerifiedNot measured59.8%Only GPT-5 Mini measured
SWE-bench MultilingualNot measured39.7%Only GPT-5 Mini measured
AA Coding Index10.1Not measuredOnly Gemma 3 27B measured
LiveCodeBench (Vals AI)Not measured86.6%Only GPT-5 Mini measured
SWE-bench Verified (Vals AI)Not measured60.8%Only GPT-5 Mini measured
Vibe Code Bench (Vals AI)Not measured14.2%Only GPT-5 Mini measured
LiveCodeBench (Artificial Analysis run)13.7%83.8%GPT-5 Mini
SciCode23.3%39.0%GPT-5 Mini
Terminal-Bench Hard (Artificial Analysis run)3.8%33.3%GPT-5 Mini
Terminal-BenchNot measured34.8%Only GPT-5 Mini measured
WeirdMLNot measured52.7%Only GPT-5 Mini measured
LMArena Text: coding13221406GPT-5 Mini
LMArena Text: software and IT13541394GPT-5 Mini
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 27B and GPT-5 Mini
BenchmarkGemma 3 27BGPT-5 MiniLeader
AA Intelligence Index4.920.6GPT-5 Mini
Epoch Capabilities Index130.0145.3GPT-5 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 3 27B and GPT-5 Mini
BenchmarkGemma 3 27BGPT-5 MiniLeader
AA Agentic Index0.1Not measuredOnly Gemma 3 27B measured
τ²-Bench Telecom10.5%71.1%GPT-5 Mini
Vending-Bench 2Not measured-$31Only GPT-5 Mini measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for Gemma 3 27B and GPT-5 Mini
BenchmarkGemma 3 27BGPT-5 MiniLeader
GPQA DiamondNot measured80.3%Only GPT-5 Mini measured
MMMU Pro (Vals AI)Not measured78.9%Only GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)42.8%82.8%GPT-5 Mini
Humanity's Last Exam (Artificial Analysis run)4.4%21.5%GPT-5 Mini
GPQA Diamond (Epoch AI run)47.7%75.0%GPT-5 Mini
ARC-AGINot measured54.3%Only GPT-5 Mini measured
ARC-AGI-2Not measured4.4%Only GPT-5 Mini measured
Chess puzzlesNot measured24.0%Only GPT-5 Mini measured
Mystery game puzzlesNot measured10.0%Only GPT-5 Mini measured
VPCTNot measured40.2%Only GPT-5 Mini measured
LMArena Text: hard prompts13401380GPT-5 Mini
LMArena Text: expert13041379GPT-5 Mini
LMArena Text: hard prompts in English13531383GPT-5 Mini
LMArena Vision: diagrams11561202GPT-5 Mini
LMArena Vision: homework11601210GPT-5 Mini
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for Gemma 3 27B and GPT-5 Mini
BenchmarkGemma 3 27BGPT-5 MiniLeader
AIMENot measured91.5%Only GPT-5 Mini measured
MATH 500 (Vals AI)Not measured94.8%Only GPT-5 Mini measured
MGSM (Vals AI)Not measured92.6%Only GPT-5 Mini measured
AA Math Index20.790.7GPT-5 Mini
AIME 2025 (Artificial Analysis run)20.7%90.7%GPT-5 Mini
OTIS Mock AIME22.5%86.7%GPT-5 Mini
FrontierMath, tiers 1 to 3Not measured46.7%Only GPT-5 Mini measured
FrontierMath, tier 4Not measured12.2%Only GPT-5 Mini measured
ProofBenchNot measured9.0%Only GPT-5 Mini measured
MATH level 574.0%97.8%GPT-5 Mini
LMArena Text: math13121378GPT-5 Mini
LMArena Text: mathematical work13271380GPT-5 Mini
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Gemma 3 27B and GPT-5 Mini
BenchmarkGemma 3 27BGPT-5 MiniLeader
MMLU ProNot measured82.2%Only GPT-5 Mini measured
LegalBench (Vals AI)Not measured81.8%Only GPT-5 Mini measured
CaseLaw (Vals AI)Not measured68.5%Only GPT-5 Mini measured
CorpFin (Vals AI)Not measured60.2%Only GPT-5 Mini measured
TaxEval (Vals AI)Not measured75.2%Only GPT-5 Mini measured
MortgageTax (Vals AI)Not measured66.9%Only GPT-5 Mini measured
MedQA (Vals AI)Not measured96.1%Only GPT-5 Mini measured
MedCode (Vals AI)Not measured43.0%Only GPT-5 Mini measured
MMLU Pro (Artificial Analysis run)66.9%83.7%GPT-5 Mini
SimpleQA VerifiedNot measured21.6%Only GPT-5 Mini measured
GeoBench52.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: science13831371Gemma 3 27B
LMArena Text: medicine and healthcare13911380Gemma 3 27B
LMArena Text: legal and government13751375Gemma 3 27B
LMArena Text: business and finance13601358Gemma 3 27B
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemma 3 27B and GPT-5 Mini
BenchmarkGemma 3 27BGPT-5 MiniLeader
Design Arena: websitesNot measured1125Only GPT-5 Mini measured
Design Arena: UI componentsNot measured1106Only GPT-5 Mini measured
Design Arena: game devNot measured1130Only GPT-5 Mini measured
Design Arena: data vizNot measured1131Only GPT-5 Mini measured
Design Arena: 3DNot measured1037Only GPT-5 Mini measured
Design Arena: all code categoriesNot measured1115Only GPT-5 Mini measured
Design Arena: SVGNot measured1091Only GPT-5 Mini measured
Design Arena: ASCII artNot measured1124Only GPT-5 Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index229
General benchmarks for Gemma 3 27B and GPT-5 Mini
BenchmarkGemma 3 27BGPT-5 MiniLeader
SAGE (Vals AI)Not measured43.0%Only GPT-5 Mini measured
MedScribe (Vals AI)Not measured80.6%Only GPT-5 Mini measured
IFBench31.8%75.4%GPT-5 Mini
Long context reasoning (AA-LCR)7.3%72.3%GPT-5 Mini
DTBench52.5%80.5%GPT-5 Mini
LMCA12.3%34.2%GPT-5 Mini
Fiction.LiveBench33.3%69.4%GPT-5 Mini
Creative writing (Lech Mazur)79.9%83.1%GPT-5 Mini
LMArena Text13581373GPT-5 Mini
LMArena Text: instruction following13211357GPT-5 Mini
LMArena Text: creative writing13451325Gemma 3 27B
LMArena Vision11651202GPT-5 Mini
LMArena Text: English13771379GPT-5 Mini
LMArena Text: non-English13341363GPT-5 Mini
LMArena Text: Chinese13461386GPT-5 Mini
LMArena Text: German13621366GPT-5 Mini
LMArena Text: Japanese12871341GPT-5 Mini
LMArena Text: Korean13081308GPT-5 Mini
LMArena Text: French13681386GPT-5 Mini
LMArena Text: Spanish13491354GPT-5 Mini
LMArena Text: Russian13491362GPT-5 Mini
LMArena Text: Polish13451378GPT-5 Mini
LMArena Text: multi-turn13451363GPT-5 Mini
LMArena Text: longer queries13331355GPT-5 Mini
LMArena Text: writing and language13471344Gemma 3 27B
LMArena Text: entertainment and media13201340GPT-5 Mini
LMArena Vision: English11881216GPT-5 Mini
LMArena Vision: Chinese11641214GPT-5 Mini
LMArena Vision: reading text11561199GPT-5 Mini
LMArena Vision: humor11661205GPT-5 Mini
LMArena Vision: captioning11511217GPT-5 Mini
LMArena Vision: recognizing things11961226GPT-5 Mini
LMArena Vision: creative writing11771181GPT-5 Mini
Neither model has a result on the other 13 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-5 Mini
BenchmarkGemma 3 27BGPT-5 MiniLeader
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$0.0003Fits in one request
GPT-5 Mini$0.0013Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Gemma 3 27B$0.0050Fits in one request
GPT-5 Mini$0.018Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 27B$0.019Exceeds the context window
GPT-5 Mini$0.070Fits in one request

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-5 Mini
SpecificationGoogle Gemma 3 27BOpenAI GPT-5 Mini
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 12, 2025August 7, 2025
Context window131K400K
Input $/Mtok$0.08$0.25
Output $/Mtok$0.35$2.00
Coding index4.959.8
Independent measurements behind it11
Cost per solved taskNot computable$0.08
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 27B better than GPT-5 Mini for coding?

Pick GPT-5 Mini for coding: it scores 59.8 on the Vibe Coding Index against 4.9 for Gemma 3 27B. Pick Gemma 3 27B when output tokens cost 5.7x less, or when what matters is LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, Gemma 3 27B or GPT-5 Mini?

Gemma 3 27B costs $0.08 per million input tokens and $0.35 per million output tokens; GPT-5 Mini costs $0.25 and $2.00. Cost per solved task is known for GPT-5 Mini only.

Which has the bigger context window, Gemma 3 27B or GPT-5 Mini?

GPT-5 Mini, with 400K tokens against 131K.

How many benchmarks is the Gemma 3 27B vs GPT-5 Mini comparison based on?

58 benchmarks have a result for both models as of October 21, 2026. Gemma 3 27B's coding index rests on 1 independent benchmark and GPT-5 Mini's on 1. Where only one model has a result, the page says so instead of naming a winner.

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