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Gemma 4 26B A4B vs GLM 5V Turbo

Updated October 21, 2026. 44 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemma 4 26B A4BGoogle
Coding
22.8
Overall
16.7
Output $/M
$0.255
15
GLM 5V TurboZ.ai
Coding
28.8
Overall
23.5
Output $/M
$4.00
29
vs boards won of 44 shared

Decision reading

Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B.

Pick Gemma 4 26B A4B when output tokens cost 15.7x less, or when the context window is larger, 262K against 203K tokens.

Shared results
44
Gemma 4 26B A4B only
10
GLM 5V Turbo only
21
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, GLM 5V Turbo 28.8 from 1 benchmark.
Widest category
Agentic work, 55.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against GLM 5V Turbo 98.5%, 55.0 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.255 against GLM 5V Turbo $4.00 per million output tokens, 15.7x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, GLM 5V Turbo 203K.

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 A4BBarsGLM 5V TurboTies
Coding15
Intelligence01
Agentic work01
Reasoning25
Math20
Knowledge13
General914
All shared boards1529
CodingLike-for-likeFour of these boards feed the Vibe Coding Index15
Coding benchmarks for Gemma 4 26B A4B and GLM 5V Turbo
BenchmarkGemma 4 26B A4BGLM 5V TurboLeader
LMArena WebDev13601402GLM 5V Turbo
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%32.6%GLM 5V Turbo
WeirdML35.2%Not measuredOnly Gemma 4 26B A4B measured
ALE-Bench927.2Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: coding14461466GLM 5V Turbo
LMArena Text: software and IT14541460GLM 5V Turbo
LMArena WebDev: React13511386GLM 5V Turbo
LMArena WebDev: HTML13621356Gemma 4 26B A4B
LMArena WebDev: from an imageNot measured1425Only GLM 5V Turbo measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 4 26B A4B and GLM 5V Turbo
BenchmarkGemma 4 26B A4BGLM 5V TurboLeader
AA Intelligence Index16.723.5GLM 5V Turbo
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 GLM 5V Turbo
BenchmarkGemma 4 26B A4BGLM 5V TurboLeader
AA Agentic Index2.9Not measuredOnly Gemma 4 26B A4B measured
Design Arena: agents building web appsNot measured1124Only GLM 5V Turbo measured
Design Arena: agents building full-stack appsNot measured1149Only GLM 5V Turbo measured
Design Arena: agents building mobile appsNot measured1134Only GLM 5V Turbo measured
Design Arena: agents building Android appsNot measured1267Only GLM 5V Turbo measured
Design Arena: agents building Godot gamesNot measured957Only GLM 5V Turbo measured
Design Arena: agents building gamesNot measured1102Only GLM 5V Turbo measured
Design Arena: HTML slidesNot measured1120Only GLM 5V Turbo measured
Design Arena: PowerPoint slidesNot measured1152Only GLM 5V Turbo measured
τ²-Bench Telecom43.6%98.5%GLM 5V Turbo
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
Reasoning benchmarks for Gemma 4 26B A4B and GLM 5V Turbo
BenchmarkGemma 4 26B A4BGLM 5V TurboLeader
GPQA Diamond (Artificial Analysis run)79.2%80.9%GLM 5V Turbo
Humanity's Last Exam (Artificial Analysis run)19.3%17.1%Gemma 4 26B A4B
GPQA Diamond (Epoch AI run)73.2%Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: hard prompts14381443GLM 5V Turbo
LMArena Text: expert14471453GLM 5V Turbo
LMArena Text: hard prompts in English14481456GLM 5V Turbo
LMArena Vision: diagrams12641286GLM 5V Turbo
LMArena Vision: homework12931273Gemma 4 26B A4B
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemma 4 26B A4B and GLM 5V Turbo
BenchmarkGemma 4 26B A4BGLM 5V TurboLeader
OTIS Mock AIME82.2%Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: math14701442Gemma 4 26B A4B
LMArena Text: mathematical work14751447Gemma 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 index13
Knowledge benchmarks for Gemma 4 26B A4B and GLM 5V Turbo
BenchmarkGemma 4 26B A4BGLM 5V TurboLeader
LMArena Text: science14461448GLM 5V Turbo
LMArena Text: medicine and healthcare14281433GLM 5V Turbo
LMArena Text: legal and government14571436Gemma 4 26B A4B
LMArena Text: business and finance14291435GLM 5V Turbo
Neither model has a result on the other 13 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 GLM 5V Turbo
BenchmarkGemma 4 26B A4BGLM 5V TurboLeader
Design Arena: websitesNot measured1230Only GLM 5V Turbo measured
Design Arena: UI componentsNot measured1213Only GLM 5V Turbo measured
Design Arena: game devNot measured1219Only GLM 5V Turbo measured
Design Arena: data vizNot measured1202Only GLM 5V Turbo measured
Design Arena: 3DNot measured1209Only GLM 5V Turbo measured
Design Arena: all code categoriesNot measured1228Only GLM 5V Turbo measured
Design Arena: SVGNot measured1151Only GLM 5V Turbo measured
Design Arena: ASCII artNot measured1118Only GLM 5V Turbo measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index914
General benchmarks for Gemma 4 26B A4B and GLM 5V Turbo
BenchmarkGemma 4 26B A4BGLM 5V TurboLeader
IFBench72.4%61.1%Gemma 4 26B A4B
Long context reasoning (AA-LCR)65.7%70.3%GLM 5V Turbo
DTBench74.9%Not measuredOnly Gemma 4 26B A4B measured
LMCA29.7%Not measuredOnly Gemma 4 26B A4B measured
LMArena Text14341437GLM 5V Turbo
LMArena Text: instruction following14201423GLM 5V Turbo
LMArena Text: creative writing14001417GLM 5V Turbo
LMArena Vision12601264GLM 5V Turbo
LMArena Text: English14441454GLM 5V Turbo
LMArena Text: non-English14211420Gemma 4 26B A4B
LMArena Text: Chinese14951491Gemma 4 26B A4B
LMArena Text: GermanNot measured1422Only GLM 5V Turbo measured
LMArena Text: KoreanNot measured1397Only GLM 5V Turbo measured
LMArena Text: French14601443Gemma 4 26B A4B
LMArena Text: Spanish14151452GLM 5V Turbo
LMArena Text: Russian14341432Gemma 4 26B A4B
LMArena Text: PolishNot measured1432Only GLM 5V Turbo measured
LMArena Text: multi-turn14411431Gemma 4 26B A4B
LMArena Text: longer queries14271438GLM 5V Turbo
LMArena Text: writing and language14051420GLM 5V Turbo
LMArena Text: entertainment and media14031407GLM 5V Turbo
LMArena Vision: English12561274GLM 5V Turbo
LMArena Vision: Chinese13121329GLM 5V Turbo
LMArena Vision: reading text12681270GLM 5V Turbo
LMArena Vision: humor12721268Gemma 4 26B A4B
LMArena Vision: captioning12971264Gemma 4 26B A4B
LMArena Vision: recognizing things11911241GLM 5V Turbo
LMArena Vision: creative writing12561252Gemma 4 26B A4B
LMArena DocumentNot measured1416Only GLM 5V Turbo 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 GLM 5V Turbo
BenchmarkGemma 4 26B A4BGLM 5V TurboLeader
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
GLM 5V Turbo$0.0032Fits 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
GLM 5V Turbo$0.072Fits 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
GLM 5V Turbo$0.280Exceeds the context window

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 GLM 5V Turbo
SpecificationGoogle Gemma 4 26B A4BZ.ai GLM 5V Turbo
MakerGoogleZ.ai
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026April 1, 2026
Context window262K203K
Input $/Mtok$0.0765$1.20
Output $/Mtok$0.255$4.00
Coding index22.828.8
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than GLM 5V Turbo for coding?

Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B. Pick Gemma 4 26B A4B when output tokens cost 15.7x less, or when the context window is larger, 262K against 203K tokens.

Which is cheaper, Gemma 4 26B A4B or GLM 5V Turbo?

Gemma 4 26B A4B costs $0.0765 per million input tokens and $0.255 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 26B A4B or GLM 5V Turbo?

Gemma 4 26B A4B, with 262K tokens against 203K.

How many benchmarks is the Gemma 4 26B A4B vs GLM 5V Turbo comparison based on?

44 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 GLM 5V Turbo's on 1. Where only one model has a result, the page says so instead of naming a winner.

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