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Gemma 4 26B A4B vs Qwen3.6 Plus

Updated October 21, 2026. 41 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemma 4 26B A4B Replace Qwen3.6 Plus
Gemma 4 26B A4BGoogle
Coding
22.8
Overall
16.7
Output $/M
$0.255
10
Qwen3.6 PlusQwen
Coding
37.4
Overall
27.0
Output $/M
$1.95
31
vs boards won of 41 shared

Decision reading

Pick Qwen3.6 Plus for coding: it scores 37.4 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B.

Pick Gemma 4 26B A4B when output tokens cost 7.6x less, or when what matters is ALE-Bench or LMArena Text: math, where it leads.

Model AGemma 4 26B A4BGoogle22.8/1001 independent benchmarkNo cost per solved taskModel BQwen3.6 PlusQwen37.4/1001 independent benchmark$1.19 per solved task
Shared results
41
Gemma 4 26B A4B only
13
Qwen3.6 Plus only
42
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 4 26B A4B 22.8 from 1 benchmark, Qwen3.6 Plus 37.4 from 1 benchmark.
Widest category
Agentic work, 54.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against Qwen3.6 Plus 97.7%, 54.1 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.255 against Qwen3.6 Plus $1.95 per million output tokens, 7.6x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, Qwen3.6 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 4 26B A4BBarsQwen3.6 PlusTies
Coding17
Intelligence02
Agentic work01
Reasoning06
Math21
Knowledge22
General512
All shared boards1031
CodingLike-for-likeFour of these boards feed the Vibe Coding Index17
Coding benchmarks for Gemma 4 26B A4B and Qwen3.6 Plus
BenchmarkGemma 4 26B A4BQwen3.6 PlusLeader
LMArena WebDev13601461Qwen3.6 Plus
AA Coding Index39.354.5Qwen3.6 Plus
LiveCodeBench (Vals AI)Not measured86.0%Only Qwen3.6 Plus measured
SWE-bench Verified (Vals AI)Not measured73.4%Only Qwen3.6 Plus measured
Vibe Code Bench (Vals AI)Not measured25.6%Only Qwen3.6 Plus measured
Code migration (Vals AI)Not measured11.1%Only Qwen3.6 Plus measured
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.6 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured53.2%Only Qwen3.6 Plus measured
SciCode40.0%Not measuredOnly Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)25.0%43.9%Qwen3.6 Plus
WeirdML35.2%Not measuredOnly Gemma 4 26B A4B measured
ALE-Bench927.2670.1Gemma 4 26B A4B
LMArena Text: coding14461467Qwen3.6 Plus
LMArena Text: software and IT14541462Qwen3.6 Plus
LMArena WebDev: React13511454Qwen3.6 Plus
LMArena WebDev: HTML13621463Qwen3.6 Plus
LMArena WebDev: from an imageNot measured1472Only Qwen3.6 Plus measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 4 26B A4B and Qwen3.6 Plus
BenchmarkGemma 4 26B A4BQwen3.6 PlusLeader
AA Intelligence Index16.727.0Qwen3.6 Plus
Epoch Capabilities Index141.9147.3Qwen3.6 Plus
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 4 26B A4B and Qwen3.6 Plus
BenchmarkGemma 4 26B A4BQwen3.6 PlusLeader
AA Agentic Index2.9Not measuredOnly Gemma 4 26B A4B measured
Finance Agent (Vals AI)Not measured40.9%Only Qwen3.6 Plus measured
Tax Agent Bench (Vals AI)Not measured7.7%Only Qwen3.6 Plus measured
Legal Research Bench (Vals AI)Not measured14.9%Only Qwen3.6 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured32.9%Only Qwen3.6 Plus measured
τ²-Bench Telecom43.6%97.7%Qwen3.6 Plus
Vending-Bench 2Not measured$5,115Only Qwen3.6 Plus measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Gemma 4 26B A4B and Qwen3.6 Plus
BenchmarkGemma 4 26B A4BQwen3.6 PlusLeader
GPQA DiamondNot measured87.4%Only Qwen3.6 Plus measured
MMMU Pro (Vals AI)Not measured84.2%Only Qwen3.6 Plus measured
GPQA Diamond (Artificial Analysis run)79.2%88.2%Qwen3.6 Plus
Humanity's Last Exam (Artificial Analysis run)19.3%27.8%Qwen3.6 Plus
GPQA Diamond (Epoch AI run)73.2%88.4%Qwen3.6 Plus
Chess puzzlesNot measured14.0%Only Qwen3.6 Plus measured
Mystery game puzzlesNot measured12.0%Only Qwen3.6 Plus measured
LMArena Text: hard prompts14381448Qwen3.6 Plus
LMArena Text: expert14471454Qwen3.6 Plus
LMArena Text: hard prompts in English14481455Qwen3.6 Plus
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 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for Gemma 4 26B A4B and Qwen3.6 Plus
BenchmarkGemma 4 26B A4BQwen3.6 PlusLeader
AIMENot measured94.6%Only Qwen3.6 Plus measured
OTIS Mock AIME82.2%93.3%Qwen3.6 Plus
FrontierMath, tiers 1 to 3Not measured38.2%Only Qwen3.6 Plus measured
LMArena Text: math14701449Gemma 4 26B A4B
LMArena Text: mathematical work14751448Gemma 4 26B A4B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for Gemma 4 26B A4B and Qwen3.6 Plus
BenchmarkGemma 4 26B A4BQwen3.6 PlusLeader
MMLU ProNot measured87.7%Only Qwen3.6 Plus measured
LegalBench (Vals AI)Not measured84.2%Only Qwen3.6 Plus measured
CaseLaw (Vals AI)Not measured51.5%Only Qwen3.6 Plus measured
CorpFin (Vals AI)Not measured61.9%Only Qwen3.6 Plus measured
TaxEval (Vals AI)Not measured74.7%Only Qwen3.6 Plus measured
MortgageTax (Vals AI)Not measured68.0%Only Qwen3.6 Plus measured
MedCode (Vals AI)Not measured36.9%Only Qwen3.6 Plus measured
SimpleQA VerifiedNot measured44.1%Only Qwen3.6 Plus measured
LMArena Text: science14461439Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281442Qwen3.6 Plus
LMArena Text: legal and government14571437Gemma 4 26B A4B
LMArena Text: business and finance14291430Qwen3.6 Plus
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and Qwen3.6 Plus
BenchmarkGemma 4 26B A4BQwen3.6 PlusLeader
Design Arena: websitesNot measured1243Only Qwen3.6 Plus measured
Design Arena: UI componentsNot measured1233Only Qwen3.6 Plus measured
Design Arena: game devNot measured1211Only Qwen3.6 Plus measured
Design Arena: data vizNot measured1228Only Qwen3.6 Plus measured
Design Arena: 3DNot measured1202Only Qwen3.6 Plus measured
Design Arena: all code categoriesNot measured1236Only Qwen3.6 Plus measured
Design Arena: SVGNot measured1160Only Qwen3.6 Plus measured
Design Arena: ASCII artNot measured1115Only Qwen3.6 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index512
General benchmarks for Gemma 4 26B A4B and Qwen3.6 Plus
BenchmarkGemma 4 26B A4BQwen3.6 PlusLeader
SAGE (Vals AI)Not measured44.9%Only Qwen3.6 Plus measured
MedScribe (Vals AI)Not measured77.0%Only Qwen3.6 Plus measured
Vals Multimodal IndexNot measured51.5%Only Qwen3.6 Plus measured
IFBench72.4%75.2%Qwen3.6 Plus
Long context reasoning (AA-LCR)65.7%78.3%Qwen3.6 Plus
DTBench74.9%81.9%Qwen3.6 Plus
LMCA29.7%33.1%Qwen3.6 Plus
CL-benchNot measured20.3%Only Qwen3.6 Plus measured
LMArena Text14341436Qwen3.6 Plus
LMArena Text: instruction following14201424Qwen3.6 Plus
LMArena Text: creative writing14001404Qwen3.6 Plus
LMArena Vision1260Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: English14441445Qwen3.6 Plus
LMArena Text: non-English14211424Qwen3.6 Plus
LMArena Text: Chinese14951477Gemma 4 26B A4B
LMArena Text: GermanNot measured1451Only Qwen3.6 Plus measured
LMArena Text: JapaneseNot measured1390Only Qwen3.6 Plus measured
LMArena Text: KoreanNot measured1379Only Qwen3.6 Plus measured
LMArena Text: French14601455Gemma 4 26B A4B
LMArena Text: Spanish14151432Qwen3.6 Plus
LMArena Text: Russian14341434Gemma 4 26B A4B
LMArena Text: PolishNot measured1433Only Qwen3.6 Plus measured
LMArena Text: multi-turn14411438Gemma 4 26B A4B
LMArena Text: longer queries14271439Qwen3.6 Plus
LMArena Text: writing and language14051418Qwen3.6 Plus
LMArena Text: entertainment and media14031402Gemma 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 13 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 Qwen3.6 Plus
BenchmarkGemma 4 26B A4BQwen3.6 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 4 26B A4B$0.0002Fits in one request
Qwen3.6 Plus$0.0013Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Gemma 4 26B A4B$0.0046Fits in one request
Qwen3.6 Plus$0.022Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 26B A4B$0.018Fits in one request
Qwen3.6 Plus$0.085Fits 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 Qwen3.6 Plus
SpecificationGoogle Gemma 4 26B A4BQwen3.6 Plus
MakerGoogleQwen
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026April 2, 2026
Context window262K1M
Input $/Mtok$0.0765$0.325
Output $/Mtok$0.255$1.95
Coding index22.837.4
Independent measurements behind it11
Cost per solved taskNot computable$1.19
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than Qwen3.6 Plus for coding?

Pick Qwen3.6 Plus for coding: it scores 37.4 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B. Pick Gemma 4 26B A4B when output tokens cost 7.6x less, or when what matters is ALE-Bench or LMArena Text: math, where it leads.

Which is cheaper, Gemma 4 26B A4B or Qwen3.6 Plus?

Gemma 4 26B A4B costs $0.0765 per million input tokens and $0.255 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Cost per solved task is known for Qwen3.6 Plus only.

Which has the bigger context window, Gemma 4 26B A4B or Qwen3.6 Plus?

Qwen3.6 Plus, with 1M tokens against 262K.

How many benchmarks is the Gemma 4 26B A4B vs Qwen3.6 Plus comparison based on?

41 benchmarks have a result for both models as of October 21, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and Qwen3.6 Plus's on 1. Where only one model has a result, the page says so instead of naming a winner.

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