Enter opens the highlighted result. Esc closes.

Gemma 4 26B A4B vs Qwen3.5-122B-A10B

Updated October 21, 2026. 46 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 Qwen3.5-122B-A10B
Gemma 4 26B A4BGoogle
Coding
22.8
Overall
16.7
Output $/M
$0.255
33
Qwen3.5-122B-A10BQwen
Coding
22.9
Overall
17.7
Output $/M
$2.08
13
vs boards won of 46 shared

Decision reading

Gemma 4 26B A4B and Qwen3.5-122B-A10B are level for coding, 22.8 against 22.9 on the Vibe Coding Index, so price and context decide.

Pick Gemma 4 26B A4B when output tokens cost 8.2x less, or when what matters is SciCode or LMArena Text: coding, where it leads. Pick Qwen3.5-122B-A10B when what matters is LMArena WebDev or AA Coding Index, where it leads.

Model AGemma 4 26B A4BGoogle22.8/1001 independent benchmarkNo cost per solved taskModel BQwen3.5-122B-A10BQwen22.9/1001 independent benchmarkNo cost per solved task
Shared results
46
Gemma 4 26B A4B only
8
Qwen3.5-122B-A10B 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 4 26B A4B 22.8 from 1 benchmark, Qwen3.5-122B-A10B 22.9 from 1 benchmark.
Widest category
Agentic work, 50.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against Qwen3.5-122B-A10B 93.6%, 50.0 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.255 against Qwen3.5-122B-A10B $2.08 per million output tokens, 8.2x 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 A4BBarsQwen3.5-122B-A10BTies
Coding44
Intelligence01
Agentic work01
Reasoning52
Math20
Knowledge40
General185
All shared boards3313
CodingLike-for-likeFour of these boards feed the Vibe Coding Index44
Coding benchmarks for Gemma 4 26B A4B and Qwen3.5-122B-A10B
BenchmarkGemma 4 26B A4BQwen3.5-122B-A10BLeader
LMArena WebDev13601361Qwen3.5-122B-A10B
AA Coding Index39.343.3Qwen3.5-122B-A10B
SciCode40.0%39.7%Gemma 4 26B A4B
Terminal-Bench Hard (Artificial Analysis run)25.0%31.1%Qwen3.5-122B-A10B
WeirdML35.2%Not measuredOnly Gemma 4 26B A4B measured
ALE-Bench927.2Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: coding14461436Gemma 4 26B A4B
LMArena Text: software and IT14541436Gemma 4 26B A4B
LMArena WebDev: React13511353Qwen3.5-122B-A10B
LMArena WebDev: HTML13621351Gemma 4 26B A4B
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 4 26B A4B and Qwen3.5-122B-A10B
BenchmarkGemma 4 26B A4BQwen3.5-122B-A10BLeader
AA Intelligence Index16.717.7Qwen3.5-122B-A10B
Epoch Capabilities Index141.9Not measuredOnly Gemma 4 26B A4B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 4 26B A4B and Qwen3.5-122B-A10B
BenchmarkGemma 4 26B A4BQwen3.5-122B-A10BLeader
AA Agentic Index2.9Not measuredOnly Gemma 4 26B A4B measured
τ²-Bench Telecom43.6%93.6%Qwen3.5-122B-A10B
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index52
Reasoning benchmarks for Gemma 4 26B A4B and Qwen3.5-122B-A10B
BenchmarkGemma 4 26B A4BQwen3.5-122B-A10BLeader
GPQA Diamond (Artificial Analysis run)79.2%85.7%Qwen3.5-122B-A10B
Humanity's Last Exam (Artificial Analysis run)19.3%25.2%Qwen3.5-122B-A10B
GPQA Diamond (Epoch AI run)73.2%Not measuredOnly Gemma 4 26B A4B measured
Mystery game puzzlesNot measured17.0%Only Qwen3.5-122B-A10B measured
LMArena Text: hard prompts14381421Gemma 4 26B A4B
LMArena Text: expert14471431Gemma 4 26B A4B
LMArena Text: hard prompts in English14481431Gemma 4 26B A4B
LMArena Vision: diagrams12641249Gemma 4 26B A4B
LMArena Vision: homework12931261Gemma 4 26B A4B
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemma 4 26B A4B and Qwen3.5-122B-A10B
BenchmarkGemma 4 26B A4BQwen3.5-122B-A10BLeader
OTIS Mock AIME82.2%Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: math14701431Gemma 4 26B A4B
LMArena Text: mathematical work14751431Gemma 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 Qwen3.5-122B-A10B
BenchmarkGemma 4 26B A4BQwen3.5-122B-A10BLeader
LMArena Text: science14461432Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281423Gemma 4 26B A4B
LMArena Text: legal and government14571422Gemma 4 26B A4B
LMArena Text: business and finance14291414Gemma 4 26B A4B
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 Qwen3.5-122B-A10B
BenchmarkGemma 4 26B A4BQwen3.5-122B-A10BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index185
General benchmarks for Gemma 4 26B A4B and Qwen3.5-122B-A10B
BenchmarkGemma 4 26B A4BQwen3.5-122B-A10BLeader
IFBench72.4%75.7%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)65.7%76.3%Qwen3.5-122B-A10B
DTBench74.9%84.3%Qwen3.5-122B-A10B
LMCA29.7%32.2%Qwen3.5-122B-A10B
LMArena Text14341417Gemma 4 26B A4B
LMArena Text: instruction following14201399Gemma 4 26B A4B
LMArena Text: creative writing14001368Gemma 4 26B A4B
LMArena Vision12601244Gemma 4 26B A4B
LMArena Text: English14441428Gemma 4 26B A4B
LMArena Text: non-English14211401Gemma 4 26B A4B
LMArena Text: Chinese14951463Gemma 4 26B A4B
LMArena Text: GermanNot measured1425Only Qwen3.5-122B-A10B measured
LMArena Text: JapaneseNot measured1367Only Qwen3.5-122B-A10B measured
LMArena Text: KoreanNot measured1353Only Qwen3.5-122B-A10B measured
LMArena Text: French14601443Gemma 4 26B A4B
LMArena Text: Spanish14151425Qwen3.5-122B-A10B
LMArena Text: Russian14341400Gemma 4 26B A4B
LMArena Text: PolishNot measured1398Only Qwen3.5-122B-A10B measured
LMArena Text: multi-turn14411416Gemma 4 26B A4B
LMArena Text: longer queries14271410Gemma 4 26B A4B
LMArena Text: writing and language14051387Gemma 4 26B A4B
LMArena Text: entertainment and media14031366Gemma 4 26B A4B
LMArena Vision: English12561249Gemma 4 26B A4B
LMArena Vision: Chinese13121301Gemma 4 26B A4B
LMArena Vision: reading text12681251Gemma 4 26B A4B
LMArena Vision: humor12721243Gemma 4 26B A4B
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things1191Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: creative writing12561220Gemma 4 26B A4B
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 Qwen3.5-122B-A10B
BenchmarkGemma 4 26B A4BQwen3.5-122B-A10BLeader
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
Qwen3.5-122B-A10B$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
Qwen3.5-122B-A10B$0.019Fits 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
Qwen3.5-122B-A10B$0.073Fits 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 Qwen3.5-122B-A10B
SpecificationGoogle Gemma 4 26B A4BQwen3.5-122B-A10B
MakerGoogleQwen
WeightsOpen weightsOpen weights
ReleasedApril 3, 2026February 25, 2026
Context window262K262K
Input $/Mtok$0.0765$0.26
Output $/Mtok$0.255$2.08
Coding index22.822.9
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than Qwen3.5-122B-A10B for coding?

Gemma 4 26B A4B and Qwen3.5-122B-A10B are level for coding, 22.8 against 22.9 on the Vibe Coding Index, so price and context decide. Pick Gemma 4 26B A4B when output tokens cost 8.2x less, or when what matters is SciCode or LMArena Text: coding, where it leads. Pick Qwen3.5-122B-A10B when what matters is LMArena WebDev or AA Coding Index, where it leads.

Which is cheaper, Gemma 4 26B A4B or Qwen3.5-122B-A10B?

Gemma 4 26B A4B costs $0.0765 per million input tokens and $0.255 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 26B A4B or Qwen3.5-122B-A10B?

Neither: both take 262K tokens.

How many benchmarks is the Gemma 4 26B A4B vs Qwen3.5-122B-A10B comparison based on?

46 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 Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next