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Gemma 4 26B A4B vs Qwen3.5-35B-A3B

Qwen3.5-35B-A3B leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 19.3 to 16.7, and Gemma 4 26B A4B costs 2.2x less per output token ($0.60 vs $1.30 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
30
Qwen3.5-35B-A3BQwen
Coding
No data
Overall
53.5
Output $/M
$1.30
10
vs boards won of 40 shared

Gemma 4 26B A4B or Qwen3.5-35B-A3B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Gemma 4 26B A4B for output tokens 2.2x cheaper ($0.60 vs $1.30 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.

Shared results
40
Gemma 4 26B A4B only
15
Qwen3.5-35B-A3B only
5
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 4 26B A4B not benchmarked, Qwen3.5-35B-A3B not benchmarked.
Widest category
Agentic work, 45.6 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against Qwen3.5-35B-A3B 89.2%, 45.6 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against Qwen3.5-35B-A3B $1.30 per million output tokens, 2.2x apart.
Context window
Both take 262K tokens.

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 4 26B A4BBarsQwen3.5-35B-A3BTies
Coding61
Intelligence02
Agentic work01
Reasoning33
Math30
Knowledge40
General143
All shared boards3010
CodingLike-for-likeSix of these boards feed the Vibe Coding Index61
Coding benchmarks for Gemma 4 26B A4B and Qwen3.5-35B-A3B
BenchmarkGemma 4 26B A4BQwen3.5-35B-A3BLeader
LMArena WebDev13601254Gemma 4 26B A4B
AA Coding Index39.3Not measuredOnly Gemma 4 26B A4B measured
SciCode40.0%Not measuredOnly Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)25.0%26.5%Qwen3.5-35B-A3B
WeirdML35.2%Not measuredOnly Gemma 4 26B A4B measured
ALE-Bench927.2221.8Gemma 4 26B A4B
LMArena Text: coding14461410Gemma 4 26B A4B
LMArena Text: software and IT14541415Gemma 4 26B A4B
LMArena WebDev: React13511238Gemma 4 26B A4B
LMArena WebDev: HTML13621301Gemma 4 26B A4B
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 4 26B A4B and Qwen3.5-35B-A3B
BenchmarkGemma 4 26B A4BQwen3.5-35B-A3BLeader
AA Intelligence Index16.719.3Qwen3.5-35B-A3B
Epoch Capabilities Index141.9142.5Qwen3.5-35B-A3B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 4 26B A4B and Qwen3.5-35B-A3B
BenchmarkGemma 4 26B A4BQwen3.5-35B-A3BLeader
AA Agentic Index2.9Not measuredOnly Gemma 4 26B A4B measured
τ²-Bench Telecom43.6%89.2%Qwen3.5-35B-A3B
Vending-Bench 2Not measured$463Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
Reasoning benchmarks for Gemma 4 26B A4B and Qwen3.5-35B-A3B
BenchmarkGemma 4 26B A4BQwen3.5-35B-A3BLeader
GPQA Diamond (Artificial Analysis run)79.2%84.5%Qwen3.5-35B-A3B
Humanity's Last Exam (Artificial Analysis run)19.3%21.0%Qwen3.5-35B-A3B
GPQA Diamond (Epoch AI run)73.2%83.5%Qwen3.5-35B-A3B
LMArena Text: hard prompts14381400Gemma 4 26B A4B
LMArena Text: expert14471408Gemma 4 26B A4B
LMArena Text: hard prompts in English14481411Gemma 4 26B A4B
LMArena Vision: diagrams1264Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: homework1293Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemma 4 26B A4B and Qwen3.5-35B-A3B
BenchmarkGemma 4 26B A4BQwen3.5-35B-A3BLeader
OTIS Mock AIME82.2%70.0%Gemma 4 26B A4B
LMArena Text: math14701404Gemma 4 26B A4B
LMArena Text: mathematical work14751410Gemma 4 26B A4B
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemma 4 26B A4B and Qwen3.5-35B-A3B
BenchmarkGemma 4 26B A4BQwen3.5-35B-A3BLeader
LMArena Text: science14461413Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281421Gemma 4 26B A4B
LMArena Text: legal and government14571399Gemma 4 26B A4B
LMArena Text: business and finance14291394Gemma 4 26B A4B
FACTS Benchmark Suite42.7%Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 13 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and Qwen3.5-35B-A3B
BenchmarkGemma 4 26B A4BQwen3.5-35B-A3BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index143
General benchmarks for Gemma 4 26B A4B and Qwen3.5-35B-A3B
BenchmarkGemma 4 26B A4BQwen3.5-35B-A3BLeader
IFBench72.4%72.5%Qwen3.5-35B-A3B
Long context reasoning (AA-LCR)65.7%72.0%Qwen3.5-35B-A3B
DTBench74.9%80.0%Qwen3.5-35B-A3B
LMCA29.7%29.5%Gemma 4 26B A4B
LMArena Text14341395Gemma 4 26B A4B
LMArena Text: instruction following14201379Gemma 4 26B A4B
LMArena Text: creative writing14001347Gemma 4 26B A4B
LMArena Vision1260Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: English14441407Gemma 4 26B A4B
LMArena Text: non-English14211378Gemma 4 26B A4B
LMArena Text: Chinese14951457Gemma 4 26B A4B
LMArena Text: GermanNot measured1367Only Qwen3.5-35B-A3B measured
LMArena Text: JapaneseNot measured1326Only Qwen3.5-35B-A3B measured
LMArena Text: KoreanNot measured1355Only Qwen3.5-35B-A3B measured
LMArena Text: French14601412Gemma 4 26B A4B
LMArena Text: Spanish14151390Gemma 4 26B A4B
LMArena Text: Russian14341376Gemma 4 26B A4B
LMArena Text: PolishNot measured1385Only Qwen3.5-35B-A3B measured
LMArena Text: multi-turn14411390Gemma 4 26B A4B
LMArena Text: longer queries14271389Gemma 4 26B A4B
LMArena Text: writing and language14051365Gemma 4 26B A4B
LMArena Text: entertainment and media14031347Gemma 4 26B A4B
LMArena Vision: English1256Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: Chinese1312Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: reading text1268Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: humor1272Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things1191Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: creative writing1256Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 4 26B A4B and Qwen3.5-35B-A3B
BenchmarkGemma 4 26B A4BQwen3.5-35B-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 4 26B A4B$0.0004Fits in one request
Qwen3.5-35B-A3B$0.0008Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Gemma 4 26B A4B$0.0093Fits in one request
Qwen3.5-35B-A3B$0.012Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 26B A4B$0.036Fits in one request
Qwen3.5-35B-A3B$0.045Fits in one request

Gemma 4 26B A4B 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 4 26B A4B and Qwen3.5-35B-A3B
SpecificationGoogle Gemma 4 26B A4BQwen3.5-35B-A3B
MakerGoogleQwen
WeightsOpen weightsOpen weights
ReleasedApril 3, 2026February 25, 2026
Context window262K262K
Input $/Mtok$0.15$0.1625
Output $/Mtok$0.60$1.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than Qwen3.5-35B-A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 2.2x cheaper ($0.60 vs $1.30 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.

Which is cheaper, Gemma 4 26B A4B or Qwen3.5-35B-A3B?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; Qwen3.5-35B-A3B costs $0.1625 and $1.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 26B A4B or Qwen3.5-35B-A3B?

Neither: both take 262K tokens.

How many benchmarks is the Gemma 4 26B A4B vs Qwen3.5-35B-A3B comparison based on?

40 benchmarks have a result for both models as of October 22, 2026. Gemma 4 26B A4B'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.

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