LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

Gemma 3 27B vs Qwen3.5-35B-A3B

Updated October 21, 2026. 40 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 Qwen3.5-35B-A3B
Gemma 3 27BGoogle
Coding
4.9
Overall
4.9
Output $/M
$0.35
0
Qwen3.5-35B-A3BQwen
Coding
7.7
Overall
19.3
Output $/M
$1.00
40
vs boards won of 40 shared

Decision reading

Pick Qwen3.5-35B-A3B for coding: it scores 7.7 on the Vibe Coding Index against 4.9 for Gemma 3 27B.

Pick Gemma 3 27B when output tokens cost 2.9x less.

Model AGemma 3 27BGoogle4.9/1001 independent benchmarkNo cost per solved taskModel BQwen3.5-35B-A3BQwen7.7/1001 independent benchmarkNo cost per solved task
Shared results
40
Gemma 3 27B only
22
Qwen3.5-35B-A3B only
5
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, Qwen3.5-35B-A3B 7.7 from 1 benchmark.
Widest category
Agentic work, 78.7 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemma 3 27B 10.5% against Qwen3.5-35B-A3B 89.2%, 78.7 points apart on a 0 to 100 scale.
Output price
Gemma 3 27B $0.35 against Qwen3.5-35B-A3B $1.00 per million output tokens, 2.9x apart.
Context window
Gemma 3 27B takes 131K tokens, Qwen3.5-35B-A3B 262K.

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 27BBarsQwen3.5-35B-A3BTies
Coding03
Intelligence02
Agentic work01
Reasoning06
Math03
Knowledge04
General021
All shared boards040
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
Coding benchmarks for Gemma 3 27B and Qwen3.5-35B-A3B
BenchmarkGemma 3 27BQwen3.5-35B-A3BLeader
Aider polyglot4.9%Not measuredOnly Gemma 3 27B measured
LMArena WebDevNot measured1254Only Qwen3.5-35B-A3B measured
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%26.5%Qwen3.5-35B-A3B
ALE-BenchNot measured221.8Only Qwen3.5-35B-A3B measured
LMArena Text: coding13221410Qwen3.5-35B-A3B
LMArena Text: software and IT13541415Qwen3.5-35B-A3B
LMArena WebDev: ReactNot measured1238Only Qwen3.5-35B-A3B measured
LMArena WebDev: HTMLNot measured1301Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 27B and Qwen3.5-35B-A3B
BenchmarkGemma 3 27BQwen3.5-35B-A3BLeader
AA Intelligence Index4.919.3Qwen3.5-35B-A3B
Epoch Capabilities Index130.0142.5Qwen3.5-35B-A3B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 3 27B and Qwen3.5-35B-A3B
BenchmarkGemma 3 27BQwen3.5-35B-A3BLeader
AA Agentic Index0.1Not measuredOnly Gemma 3 27B measured
τ²-Bench Telecom10.5%89.2%Qwen3.5-35B-A3B
Vending-Bench 2Not measured$463Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Gemma 3 27B and Qwen3.5-35B-A3B
BenchmarkGemma 3 27BQwen3.5-35B-A3BLeader
GPQA Diamond (Artificial Analysis run)42.8%84.5%Qwen3.5-35B-A3B
Humanity's Last Exam (Artificial Analysis run)4.4%21.0%Qwen3.5-35B-A3B
GPQA Diamond (Epoch AI run)47.7%83.5%Qwen3.5-35B-A3B
LMArena Text: hard prompts13401400Qwen3.5-35B-A3B
LMArena Text: expert13041408Qwen3.5-35B-A3B
LMArena Text: hard prompts in English13531411Qwen3.5-35B-A3B
LMArena Vision: diagrams1156Not measuredOnly Gemma 3 27B measured
LMArena Vision: homework1160Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Gemma 3 27B and Qwen3.5-35B-A3B
BenchmarkGemma 3 27BQwen3.5-35B-A3BLeader
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%70.0%Qwen3.5-35B-A3B
MATH level 574.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: math13121404Qwen3.5-35B-A3B
LMArena Text: mathematical work13271410Qwen3.5-35B-A3B
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 3 27B and Qwen3.5-35B-A3B
BenchmarkGemma 3 27BQwen3.5-35B-A3BLeader
MMLU Pro (Artificial Analysis run)66.9%Not measuredOnly Gemma 3 27B measured
GeoBench52.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: science13831413Qwen3.5-35B-A3B
LMArena Text: medicine and healthcare13911421Qwen3.5-35B-A3B
LMArena Text: legal and government13751399Qwen3.5-35B-A3B
LMArena Text: business and finance13601394Qwen3.5-35B-A3B
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 Qwen3.5-35B-A3B
BenchmarkGemma 3 27BQwen3.5-35B-A3BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for Gemma 3 27B and Qwen3.5-35B-A3B
BenchmarkGemma 3 27BQwen3.5-35B-A3BLeader
IFBench31.8%72.5%Qwen3.5-35B-A3B
Long context reasoning (AA-LCR)7.3%72.0%Qwen3.5-35B-A3B
DTBench52.5%80.0%Qwen3.5-35B-A3B
LMCA12.3%29.5%Qwen3.5-35B-A3B
Fiction.LiveBench33.3%Not measuredOnly Gemma 3 27B measured
Creative writing (Lech Mazur)79.9%Not measuredOnly Gemma 3 27B measured
LMArena Text13581395Qwen3.5-35B-A3B
LMArena Text: instruction following13211379Qwen3.5-35B-A3B
LMArena Text: creative writing13451347Qwen3.5-35B-A3B
LMArena Vision1165Not measuredOnly Gemma 3 27B measured
LMArena Text: English13771407Qwen3.5-35B-A3B
LMArena Text: non-English13341378Qwen3.5-35B-A3B
LMArena Text: Chinese13461457Qwen3.5-35B-A3B
LMArena Text: German13621367Qwen3.5-35B-A3B
LMArena Text: Japanese12871326Qwen3.5-35B-A3B
LMArena Text: Korean13081355Qwen3.5-35B-A3B
LMArena Text: French13681412Qwen3.5-35B-A3B
LMArena Text: Spanish13491390Qwen3.5-35B-A3B
LMArena Text: Russian13491376Qwen3.5-35B-A3B
LMArena Text: Polish13451385Qwen3.5-35B-A3B
LMArena Text: multi-turn13451390Qwen3.5-35B-A3B
LMArena Text: longer queries13331389Qwen3.5-35B-A3B
LMArena Text: writing and language13471365Qwen3.5-35B-A3B
LMArena Text: entertainment and media13201347Qwen3.5-35B-A3B
LMArena Vision: English1188Not measuredOnly Gemma 3 27B measured
LMArena Vision: Chinese1164Not measuredOnly Gemma 3 27B measured
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 15 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 Qwen3.5-35B-A3B
BenchmarkGemma 3 27BQwen3.5-35B-A3BLeader
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
Qwen3.5-35B-A3B$0.0006Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Gemma 3 27B$0.0050Fits in one request
Qwen3.5-35B-A3B$0.010Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 27B$0.019Exceeds the context window
Qwen3.5-35B-A3B$0.038Fits 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 Qwen3.5-35B-A3B
SpecificationGoogle Gemma 3 27BQwen3.5-35B-A3B
MakerGoogleQwen
WeightsOpen weightsOpen weights
ReleasedMarch 12, 2025February 25, 2026
Context window131K262K
Input $/Mtok$0.08$0.14
Output $/Mtok$0.35$1.00
Coding index4.97.7
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 27B better than Qwen3.5-35B-A3B for coding?

Pick Qwen3.5-35B-A3B for coding: it scores 7.7 on the Vibe Coding Index against 4.9 for Gemma 3 27B. Pick Gemma 3 27B when output tokens cost 2.9x less.

Which is cheaper, Gemma 3 27B or Qwen3.5-35B-A3B?

Gemma 3 27B costs $0.08 per million input tokens and $0.35 per million output tokens; Qwen3.5-35B-A3B costs $0.14 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 3 27B or Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B, with 262K tokens against 131K.

How many benchmarks is the Gemma 3 27B vs Qwen3.5-35B-A3B comparison based on?

40 benchmarks have a result for both models as of October 21, 2026. Gemma 3 27B's coding index rests on 1 independent benchmark and Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next