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Gemma 3 27B vs Qwen3.7 Plus

Qwen3.7 Plus leads Gemma 3 27B on the Artificial Analysis Intelligence Index, 25.2 to 4.9, and Gemma 3 27B costs 4.3x less per output token ($0.30 vs $1.28 per million). Updated October 21, 2026; 51 benchmarks have a result for both.

Replace Gemma 3 27B Replace Qwen3.7 Plus
Gemma 3 27BGoogle
Coding
No data
Overall
31.4
Output $/M
$0.30
0
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
51
vs boards won of 51 shared

Gemma 3 27B or Qwen3.7 Plus: which to pick

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Gemma 3 27B has none, so the two cannot be ranked on coding.

Pick Gemma 3 27B for output tokens 4.3x cheaper ($0.30 vs $1.28 per million).

Model AGemma 3 27BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
51
Gemma 3 27B only
15
Qwen3.7 Plus only
24
Like-for-like categories
7 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, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Agentic work, 49.9 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemma 3 27B 10.5% against Qwen3.7 Plus 93.0%, 82.5 points apart on a 0 to 100 scale.
Output price
Gemma 3 27B $0.30 against Qwen3.7 Plus $1.28 per million output tokens, 4.3x apart.
Context window
Gemma 3 27B takes 131K tokens, Qwen3.7 Plus 1M.

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 27BBarsQwen3.7 PlusTies
Coding05
Intelligence02
Agentic work02
Reasoning08
Math03
Knowledge04
General027
All shared boards051
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Gemma 3 27B and Qwen3.7 Plus
BenchmarkGemma 3 27BQwen3.7 PlusLeader
Aider polyglot4.9%Not measuredOnly Gemma 3 27B measured
AA Coding Index10.155.9Qwen3.7 Plus
Vibe Code Bench (Vals AI)Not measured46.4%Only Qwen3.7 Plus measured
Code migration (Vals AI)Not measured12.9%Only Qwen3.7 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured52.8%Only Qwen3.7 Plus measured
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
LiveCodeBench (Artificial Analysis run)13.7%Not measuredOnly Gemma 3 27B measured
SciCode23.3%46.1%Qwen3.7 Plus
Terminal-Bench Hard (Artificial Analysis run)3.8%47.0%Qwen3.7 Plus
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
LMArena Text: coding13221473Qwen3.7 Plus
LMArena Text: software and IT13541473Qwen3.7 Plus
SciCode0.0%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 27B and Qwen3.7 Plus
BenchmarkGemma 3 27BQwen3.7 PlusLeader
AA Intelligence Index4.925.2Qwen3.7 Plus
Epoch Capabilities Index130.0147.0Qwen3.7 Plus
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 3 27B and Qwen3.7 Plus
BenchmarkGemma 3 27BQwen3.7 PlusLeader
AA Agentic Index0.117.5Qwen3.7 Plus
Finance Agent (Vals AI)Not measured38.2%Only Qwen3.7 Plus measured
Tax Agent Bench (Vals AI)Not measured10.5%Only Qwen3.7 Plus measured
Legal Research Bench (Vals AI)Not measured16.4%Only Qwen3.7 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured49.3%Only Qwen3.7 Plus measured
τ²-Bench Telecom10.5%93.0%Qwen3.7 Plus
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Berkeley Function Calling Leaderboard (BFCL)29.5%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for Gemma 3 27B and Qwen3.7 Plus
BenchmarkGemma 3 27BQwen3.7 PlusLeader
GPQA Diamond (Artificial Analysis run)42.8%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)4.4%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)47.7%87.9%Qwen3.7 Plus
Mystery game puzzlesNot measured17.0%Only Qwen3.7 Plus measured
LMArena Text: hard prompts13401460Qwen3.7 Plus
LMArena Text: expert13041466Qwen3.7 Plus
LMArena Text: hard prompts in English13531460Qwen3.7 Plus
LMArena Vision: diagrams11561292Qwen3.7 Plus
LMArena Vision: homework11601295Qwen3.7 Plus
Kagi LLM Benchmark35.1%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Gemma 3 27B and Qwen3.7 Plus
BenchmarkGemma 3 27BQwen3.7 PlusLeader
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%93.3%Qwen3.7 Plus
FrontierMath, tiers 1 to 3Not measured34.4%Only Qwen3.7 Plus measured
MATH level 574.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: math13121467Qwen3.7 Plus
LMArena Text: mathematical work13271470Qwen3.7 Plus
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 3 27B and Qwen3.7 Plus
BenchmarkGemma 3 27BQwen3.7 PlusLeader
MortgageTax (Vals AI)Not measured66.2%Only Qwen3.7 Plus measured
MMLU Pro (Artificial Analysis run)66.9%Not measuredOnly Gemma 3 27B measured
GeoBench52.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: science13831464Qwen3.7 Plus
LMArena Text: medicine and healthcare13911464Qwen3.7 Plus
LMArena Text: legal and government13751451Qwen3.7 Plus
LMArena Text: business and finance13601435Qwen3.7 Plus
FACTS Benchmark Suite29.1%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 10 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 Qwen3.7 Plus
BenchmarkGemma 3 27BQwen3.7 PlusLeader
Design Arena: websitesNot measured1269Only Qwen3.7 Plus measured
Design Arena: UI componentsNot measured1261Only Qwen3.7 Plus measured
Design Arena: game devNot measured1262Only Qwen3.7 Plus measured
Design Arena: data vizNot measured1276Only Qwen3.7 Plus measured
Design Arena: 3DNot measured1239Only Qwen3.7 Plus measured
Design Arena: all code categoriesNot measured1269Only Qwen3.7 Plus measured
Design Arena: SVGNot measured1208Only Qwen3.7 Plus measured
Design Arena: ASCII artNot measured1143Only Qwen3.7 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index027
General benchmarks for Gemma 3 27B and Qwen3.7 Plus
BenchmarkGemma 3 27BQwen3.7 PlusLeader
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench31.8%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)7.3%73.0%Qwen3.7 Plus
DTBench52.5%84.0%Qwen3.7 Plus
LMCA12.3%37.6%Qwen3.7 Plus
Fiction.LiveBench33.3%Not measuredOnly Gemma 3 27B measured
Creative writing (Lech Mazur)79.9%Not measuredOnly Gemma 3 27B measured
LMArena Text13581454Qwen3.7 Plus
LMArena Text: instruction following13211439Qwen3.7 Plus
LMArena Text: creative writing13451438Qwen3.7 Plus
LMArena Vision11651278Qwen3.7 Plus
LMArena Text: English13771458Qwen3.7 Plus
LMArena Text: non-English13341445Qwen3.7 Plus
LMArena Text: Chinese13461509Qwen3.7 Plus
LMArena Text: German13621471Qwen3.7 Plus
LMArena Text: Japanese12871412Qwen3.7 Plus
LMArena Text: Korean13081413Qwen3.7 Plus
LMArena Text: French13681472Qwen3.7 Plus
LMArena Text: Spanish13491457Qwen3.7 Plus
LMArena Text: Russian13491457Qwen3.7 Plus
LMArena Text: Polish13451449Qwen3.7 Plus
LMArena Text: multi-turn13451459Qwen3.7 Plus
LMArena Text: longer queries13331454Qwen3.7 Plus
LMArena Text: writing and language13471437Qwen3.7 Plus
LMArena Text: entertainment and media13201422Qwen3.7 Plus
LMArena Vision: English11881280Qwen3.7 Plus
LMArena Vision: Chinese11641332Qwen3.7 Plus
LMArena Vision: reading text11561288Qwen3.7 Plus
LMArena Vision: humor11661261Qwen3.7 Plus
LMArena Vision: captioning1151Not measuredOnly Gemma 3 27B measured
LMArena Vision: recognizing things1196Not measuredOnly Gemma 3 27B measured
LMArena Vision: creative writing11771258Qwen3.7 Plus
LMArena DocumentNot measured1444Only Qwen3.7 Plus measured
Neither model has a result on the other 12 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 Qwen3.7 Plus
BenchmarkGemma 3 27BQwen3.7 PlusLeader
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
Qwen3.7 Plus$0.0010Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Gemma 3 27B$0.0049Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 27B$0.019Exceeds the context window
Qwen3.7 Plus$0.077Fits 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 Qwen3.7 Plus
SpecificationGoogle Gemma 3 27BQwen3.7 Plus
MakerGoogleQwen
WeightsOpen weightsNo public weights listed
ReleasedMarch 12, 2025June 3, 2026
Context window131K1M
Input $/Mtok$0.08$0.32
Output $/Mtok$0.30$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it02
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 27B better than Qwen3.7 Plus for coding?

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Gemma 3 27B has none, so the two cannot be ranked on coding. Pick Gemma 3 27B for output tokens 4.3x cheaper ($0.30 vs $1.28 per million).

Which is cheaper, Gemma 3 27B or Qwen3.7 Plus?

Gemma 3 27B costs $0.08 per million input tokens and $0.30 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 3 27B or Qwen3.7 Plus?

Qwen3.7 Plus, with 1M tokens against 131K.

How many benchmarks is the Gemma 3 27B vs Qwen3.7 Plus comparison based on?

51 benchmarks have a result for both models as of October 21, 2026. Gemma 3 27B's coding index rests on 0 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.

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