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Gemma 2 27B vs GPT-5 Mini

Updated October 21, 2026. 35 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemma 2 27BGoogle
Coding
No data
Overall
No data
Output $/M
$0.65
0
GPT-5 MiniOpenAI
Coding
34.2
Overall
20.6
Output $/M
$2.00
35
vs boards won of 35 shared

Decision reading

Only GPT-5 Mini has a coding score, 34.2 on the Vibe Coding Index; Gemma 2 27B has none, so the two cannot be ranked on coding.

Gemma 2 27B has the edge where output tokens cost 3.1x less.

Shared results
35
Gemma 2 27B only
1
GPT-5 Mini only
63
Like-for-like categories
6 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 2 27B not benchmarked, GPT-5 Mini 34.2 from 2 benchmarks.
Widest category
Math, 52.3 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: Gemma 2 27B 1.4% against GPT-5 Mini 86.7%, 85.3 points apart on a 0 to 100 scale.
Output price
Gemma 2 27B $0.65 against GPT-5 Mini $2.00 per million output tokens, 3.1x apart.
Context window
Gemma 2 27B takes 8K 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 2 27BBarsGPT-5 MiniTies
Coding02
Intelligence01
Reasoning04
Math04
Knowledge05
General019
All shared boards035
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Gemma 2 27B and GPT-5 Mini
BenchmarkGemma 2 27BGPT-5 MiniLeader
SWE-bench VerifiedNot measured59.8%Only GPT-5 Mini measured
SWE-bench MultilingualNot measured39.7%Only GPT-5 Mini 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)Not measured83.8%Only GPT-5 Mini measured
SciCodeNot measured39.0%Only GPT-5 Mini measured
Terminal-Bench Hard (Artificial Analysis run)Not measured33.3%Only GPT-5 Mini measured
Terminal-BenchNot measured34.8%Only GPT-5 Mini measured
WeirdMLNot measured52.7%Only GPT-5 Mini measured
LMArena Text: coding12111406GPT-5 Mini
LMArena Text: software and IT12281394GPT-5 Mini
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 2 27B and GPT-5 Mini
BenchmarkGemma 2 27BGPT-5 MiniLeader
AA Intelligence IndexNot measured20.6Only GPT-5 Mini measured
Epoch Capabilities Index122.1145.3GPT-5 Mini
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Gemma 2 27B and GPT-5 Mini
BenchmarkGemma 2 27BGPT-5 MiniLeader
τ²-Bench TelecomNot measured71.1%Only GPT-5 Mini measured
Vending-Bench 2Not measured-$31Only GPT-5 Mini measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for Gemma 2 27B and GPT-5 Mini
BenchmarkGemma 2 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)Not measured82.8%Only GPT-5 Mini measured
Humanity's Last Exam (Artificial Analysis run)Not measured21.5%Only GPT-5 Mini measured
GPQA Diamond (Epoch AI run)36.5%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 prompts11981380GPT-5 Mini
LMArena Text: expert11711379GPT-5 Mini
LMArena Text: hard prompts in English12061383GPT-5 Mini
LMArena Vision: diagramsNot measured1202Only GPT-5 Mini measured
LMArena Vision: homeworkNot measured1210Only GPT-5 Mini measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Gemma 2 27B and GPT-5 Mini
BenchmarkGemma 2 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 IndexNot measured90.7Only GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only GPT-5 Mini measured
OTIS Mock AIME1.4%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 527.9%97.8%GPT-5 Mini
LMArena Text: math12121378GPT-5 Mini
LMArena Text: mathematical work12211380GPT-5 Mini
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Gemma 2 27B and GPT-5 Mini
BenchmarkGemma 2 27BGPT-5 MiniLeader
MMLU ProNot measured82.2%Only GPT-5 Mini measured
LegalBench (Vals AI)68.0%81.8%GPT-5 Mini
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)Not measured83.7%Only GPT-5 Mini measured
SimpleQA VerifiedNot measured21.6%Only GPT-5 Mini measured
MMLU75.7%Not measuredOnly Gemma 2 27B measured
LMArena Text: science12281371GPT-5 Mini
LMArena Text: medicine and healthcare11981380GPT-5 Mini
LMArena Text: legal and government12411375GPT-5 Mini
LMArena Text: business and finance12081358GPT-5 Mini
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 2 27B and GPT-5 Mini
BenchmarkGemma 2 27BGPT-5 MiniLeader
Design Arena: websitesNot measured1125Only GPT-5 Mini measured
Design Arena: UI componentsNot measured1106Only GPT-5 Mini measured
Design Arena: game devNot measured1129Only GPT-5 Mini measured
Design Arena: data vizNot measured1130Only 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 index019
General benchmarks for Gemma 2 27B and GPT-5 Mini
BenchmarkGemma 2 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
IFBenchNot measured75.4%Only GPT-5 Mini measured
Long context reasoning (AA-LCR)Not measured72.3%Only GPT-5 Mini measured
DTBench48.0%80.5%GPT-5 Mini
LMCA7.1%34.2%GPT-5 Mini
Fiction.LiveBenchNot measured69.4%Only GPT-5 Mini measured
Creative writing (Lech Mazur)Not measured83.1%Only GPT-5 Mini measured
LMArena Text12311373GPT-5 Mini
LMArena Text: instruction following12061357GPT-5 Mini
LMArena Text: creative writing12401325GPT-5 Mini
LMArena VisionNot measured1202Only GPT-5 Mini measured
LMArena Text: English12421379GPT-5 Mini
LMArena Text: non-English12171363GPT-5 Mini
LMArena Text: Chinese12211386GPT-5 Mini
LMArena Text: German12091366GPT-5 Mini
LMArena Text: Japanese11751341GPT-5 Mini
LMArena Text: Korean11741308GPT-5 Mini
LMArena Text: French12481386GPT-5 Mini
LMArena Text: Spanish12281354GPT-5 Mini
LMArena Text: Russian12341362GPT-5 Mini
LMArena Text: Polish12771378GPT-5 Mini
LMArena Text: multi-turn12241363GPT-5 Mini
LMArena Text: longer queries12301355GPT-5 Mini
LMArena Text: writing and language12491344GPT-5 Mini
LMArena Text: entertainment and media12121340GPT-5 Mini
LMArena Vision: EnglishNot measured1216Only GPT-5 Mini measured
LMArena Vision: ChineseNot measured1214Only GPT-5 Mini measured
LMArena Vision: reading textNot measured1199Only GPT-5 Mini measured
LMArena Vision: humorNot measured1205Only GPT-5 Mini measured
LMArena Vision: captioningNot measured1217Only GPT-5 Mini measured
LMArena Vision: recognizing thingsNot measured1226Only GPT-5 Mini measured
LMArena Vision: creative writingNot measured1181Only GPT-5 Mini measured
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 2 27B and GPT-5 Mini
BenchmarkGemma 2 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 2 27B$0.0010Fits in one request
GPT-5 Mini$0.0013Fits in one request

Gemma 2 27B costs less

Repository review

50K input + 3K output tokens

Gemma 2 27B$0.034Exceeds the context window
GPT-5 Mini$0.018Fits in one request

GPT-5 Mini costs less

Agent loop

200K input + 10K output tokens

Gemma 2 27B$0.137Exceeds the context window
GPT-5 Mini$0.070Fits in one request

GPT-5 Mini 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-5 Mini
SpecificationGoogle Gemma 2 27BOpenAI GPT-5 Mini
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJuly 13, 2024August 7, 2025
Context window8K400K
Input $/Mtok$0.65$0.25
Output $/Mtok$0.65$2.00
Coding indexNot benchmarked34.2
Independent measurements behind it02
Cost per solved taskNot computable$0.08
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 2 27B better than GPT-5 Mini for coding?

Only GPT-5 Mini has a coding score, 34.2 on the Vibe Coding Index; Gemma 2 27B has none, so the two cannot be ranked on coding. Gemma 2 27B has the edge where output tokens cost 3.1x less.

Which is cheaper, Gemma 2 27B or GPT-5 Mini?

Gemma 2 27B costs $0.65 per million input tokens and $0.65 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 2 27B or GPT-5 Mini?

GPT-5 Mini, with 400K tokens against 8K.

How many benchmarks is the Gemma 2 27B vs GPT-5 Mini comparison based on?

35 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-5 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.

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