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Gemini 2.5 Flash vs Gemma 3 27B

Updated October 21, 2026. 52 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 FlashGoogle
Coding
28.7
Overall
15.5
Output $/M
$2.50
52
Gemma 3 27BGoogle
Coding
4.9
Overall
4.9
Output $/M
$0.35
0
vs boards won of 52 shared

Decision reading

Pick Gemini 2.5 Flash for coding: it scores 28.7 on the Vibe Coding Index against 4.9 for Gemma 3 27B.

Pick Gemma 3 27B when output tokens cost 7.1x less.

Shared results
52
Gemini 2.5 Flash only
17
Gemma 3 27B only
10
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
Gemini 2.5 Flash 28.7 from 1 benchmark, Gemma 3 27B 4.9 from 1 benchmark.
Widest category
Math, 34.4 points apart on average over 4 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemini 2.5 Flash 65.3% against Gemma 3 27B 7.3%, 58.0 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against Gemma 3 27B $0.35 per million output tokens, 7.1x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, Gemma 3 27B 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
CategoryGemini 2.5 FlashBarsGemma 3 27BTies
Coding40
Intelligence20
Agentic work10
Reasoning70
Math40
Knowledge50
General290
All shared boards520
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
Coding benchmarks for Gemini 2.5 Flash and Gemma 3 27B
BenchmarkGemini 2.5 FlashGemma 3 27BLeader
Aider polyglotNot measured4.9%Only Gemma 3 27B measured
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
AA Coding IndexNot measured10.1Only Gemma 3 27B measured
LiveCodeBench (Artificial Analysis run)69.5%13.7%Gemini 2.5 Flash
SciCodeNot measured23.3%Only Gemma 3 27B measured
Terminal-Bench Hard (Artificial Analysis run)13.6%3.8%Gemini 2.5 Flash
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: coding14231322Gemini 2.5 Flash
LMArena Text: software and IT14251354Gemini 2.5 Flash
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 2.5 Flash and Gemma 3 27B
BenchmarkGemini 2.5 FlashGemma 3 27BLeader
AA Intelligence Index15.54.9Gemini 2.5 Flash
Epoch Capabilities Index142.9130.0Gemini 2.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 2.5 Flash and Gemma 3 27B
BenchmarkGemini 2.5 FlashGemma 3 27BLeader
AA Agentic IndexNot measured0.1Only Gemma 3 27B measured
τ²-Bench Telecom31.6%10.5%Gemini 2.5 Flash
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Gemini 2.5 Flash and Gemma 3 27B
BenchmarkGemini 2.5 FlashGemma 3 27BLeader
GPQA Diamond (Artificial Analysis run)79.0%42.8%Gemini 2.5 Flash
Humanity's Last Exam (Artificial Analysis run)12.1%4.4%Gemini 2.5 Flash
GPQA Diamond (Epoch AI run)Not measured47.7%Only Gemma 3 27B measured
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts14221340Gemini 2.5 Flash
LMArena Text: expert14261304Gemini 2.5 Flash
LMArena Text: hard prompts in English14201353Gemini 2.5 Flash
LMArena Vision: diagrams12451156Gemini 2.5 Flash
LMArena Vision: homework12441160Gemini 2.5 Flash
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 Gemini 2.5 Flash and Gemma 3 27B
BenchmarkGemini 2.5 FlashGemma 3 27BLeader
AA Math Index73.320.7Gemini 2.5 Flash
AIME 2025 (Artificial Analysis run)73.3%20.7%Gemini 2.5 Flash
OTIS Mock AIMENot measured22.5%Only Gemma 3 27B measured
MATH level 5Not measured74.0%Only Gemma 3 27B measured
LMArena Text: math14111312Gemini 2.5 Flash
LMArena Text: mathematical work14221327Gemini 2.5 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 2.5 Flash and Gemma 3 27B
BenchmarkGemini 2.5 FlashGemma 3 27BLeader
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%66.9%Gemini 2.5 Flash
GeoBenchNot measured52.0%Only Gemma 3 27B measured
LMArena Text: science14331383Gemini 2.5 Flash
LMArena Text: medicine and healthcare14281391Gemini 2.5 Flash
LMArena Text: legal and government14301375Gemini 2.5 Flash
LMArena Text: business and finance14041360Gemini 2.5 Flash
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemini 2.5 Flash and Gemma 3 27B
BenchmarkGemini 2.5 FlashGemma 3 27BLeader
Design Arena: websites1074Not measuredOnly Gemini 2.5 Flash measured
Design Arena: UI components1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: game dev1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: data viz1060Not measuredOnly Gemini 2.5 Flash measured
Design Arena: 3D1021Not measuredOnly Gemini 2.5 Flash measured
Design Arena: all code categories1059Not measuredOnly Gemini 2.5 Flash measured
Design Arena: SVG1018Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index290
General benchmarks for Gemini 2.5 Flash and Gemma 3 27B
BenchmarkGemini 2.5 FlashGemma 3 27BLeader
SAGE (Vals AI)44.8%Not measuredOnly Gemini 2.5 Flash measured
MedScribe (Vals AI)83.0%Not measuredOnly Gemini 2.5 Flash measured
IFBench50.3%31.8%Gemini 2.5 Flash
Long context reasoning (AA-LCR)65.3%7.3%Gemini 2.5 Flash
DTBench76.5%52.5%Gemini 2.5 Flash
LMCA27.5%12.3%Gemini 2.5 Flash
Fiction.LiveBenchNot measured33.3%Only Gemma 3 27B measured
Creative writing (Lech Mazur)Not measured79.9%Only Gemma 3 27B measured
LMArena Text14171358Gemini 2.5 Flash
LMArena Text: instruction following14051321Gemini 2.5 Flash
LMArena Text: creative writing14001345Gemini 2.5 Flash
LMArena Vision12351165Gemini 2.5 Flash
LMArena Text: English14181377Gemini 2.5 Flash
LMArena Text: non-English14091334Gemini 2.5 Flash
LMArena Text: Chinese14491346Gemini 2.5 Flash
LMArena Text: German14171362Gemini 2.5 Flash
LMArena Text: Japanese13961287Gemini 2.5 Flash
LMArena Text: Korean13851308Gemini 2.5 Flash
LMArena Text: French14321368Gemini 2.5 Flash
LMArena Text: Spanish14221349Gemini 2.5 Flash
LMArena Text: Russian14151349Gemini 2.5 Flash
LMArena Text: Polish14131345Gemini 2.5 Flash
LMArena Text: multi-turn14081345Gemini 2.5 Flash
LMArena Text: longer queries14191333Gemini 2.5 Flash
LMArena Text: writing and language14051347Gemini 2.5 Flash
LMArena Text: entertainment and media13931320Gemini 2.5 Flash
LMArena Vision: English12391188Gemini 2.5 Flash
LMArena Vision: Chinese12841164Gemini 2.5 Flash
LMArena Vision: reading text12371156Gemini 2.5 Flash
LMArena Vision: humor12251166Gemini 2.5 Flash
LMArena Vision: captioning12771151Gemini 2.5 Flash
LMArena Vision: recognizing things12521196Gemini 2.5 Flash
LMArena Vision: creative writing12411177Gemini 2.5 Flash
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 Gemini 2.5 Flash and Gemma 3 27B
BenchmarkGemini 2.5 FlashGemma 3 27BLeader
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

Gemini 2.5 Flash$0.0015Fits in one request
Gemma 3 27B$0.0003Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
Gemma 3 27B$0.0050Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
Gemma 3 27B$0.019Exceeds 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 Gemini 2.5 Flash and Gemma 3 27B
SpecificationGoogle Gemini 2.5 FlashGoogle Gemma 3 27B
MakerGoogleGoogle
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025March 12, 2025
Context window1.05M131K
Input $/Mtok$0.30$0.08
Output $/Mtok$2.50$0.35
Coding index28.74.9
Independent measurements behind it11
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than Gemma 3 27B for coding?

Pick Gemini 2.5 Flash for coding: it scores 28.7 on the Vibe Coding Index against 4.9 for Gemma 3 27B. Pick Gemma 3 27B when output tokens cost 7.1x less.

Which is cheaper, Gemini 2.5 Flash or Gemma 3 27B?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Gemma 3 27B costs $0.08 and $0.35. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or Gemma 3 27B?

Gemini 2.5 Flash, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 2.5 Flash vs Gemma 3 27B comparison based on?

52 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 1 independent benchmark and Gemma 3 27B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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