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GLM 4.6 vs GLM 5V Turbo

GLM 5V Turbo leads GLM 4.6 on the Artificial Analysis Intelligence Index, 23.5 to 18.5, and GLM 4.6 costs 1.8x less per output token ($2.20 vs $4.00 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Replace GLM 4.6 Replace GLM 5V Turbo
GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
12
GLM 5V TurboZ.ai
Coding
No data
Overall
No data
Output $/M
$4.00
35
vs boards won of 47 shared

GLM 4.6 or GLM 5V Turbo: which to pick

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding.

Pick GLM 5V Turbo for work measured by LMArena WebDev or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved taskModel BGLM 5V TurboZ.aiNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
47
GLM 4.6 only
23
GLM 5V Turbo only
18
Like-for-like categories
8 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
GLM 4.6 8.8 from 2 benchmarks, GLM 5V Turbo not benchmarked.
Widest category
Agentic work, 18.4 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: agents building Godot games: GLM 4.6 1180 against GLM 5V Turbo 957, 27.9 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against GLM 5V Turbo $4.00 per million output tokens, 1.8x apart.
Context window
GLM 4.6 takes 205K 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
CategoryGLM 4.6BarsGLM 5V TurboTies
Coding05
Intelligence01
Agentic work14
Reasoning05
Math02
Knowledge31
Web design07
General810
All shared boards1235
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for GLM 4.6 and GLM 5V Turbo
BenchmarkGLM 4.6GLM 5V TurboLeader
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LMArena WebDev13411402GLM 5V Turbo
AA Coding Index45.8Not measuredOnly GLM 4.6 measured
LiveCodeBench (Vals AI)81.0%Not measuredOnly GLM 4.6 measured
Vibe Code Bench (Vals AI)3.1%Not measuredOnly GLM 4.6 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly GLM 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)28.8%32.6%GLM 5V Turbo
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
ALE-Bench340.8Not measuredOnly GLM 4.6 measured
LMArena Text: coding14491466GLM 5V Turbo
LMArena Text: software and IT14551460GLM 5V Turbo
LMArena WebDev: ReactNot measured1386Only GLM 5V Turbo measured
LMArena WebDev: HTML13501356GLM 5V Turbo
LMArena WebDev: from an imageNot measured1425Only GLM 5V Turbo measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6 and GLM 5V Turbo
BenchmarkGLM 4.6GLM 5V TurboLeader
AA Intelligence Index18.523.5GLM 5V Turbo
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for GLM 4.6 and GLM 5V Turbo
BenchmarkGLM 4.6GLM 5V TurboLeader
Design Arena: agents building web appsNot measured1124Only GLM 5V Turbo measured
Design Arena: agents building full-stack apps10291149GLM 5V Turbo
Design Arena: agents building mobile apps10961134GLM 5V Turbo
Design Arena: agents building Android apps10841267GLM 5V Turbo
Design Arena: agents building Godot games1180957GLM 4.6
Design Arena: agents building gamesNot measured1102Only GLM 5V Turbo measured
Design Arena: HTML slidesNot measured1060Only GLM 5V Turbo measured
Design Arena: PowerPoint slidesNot measured1126Only GLM 5V Turbo measured
τ²-Bench Telecom76.9%98.5%GLM 5V Turbo
Berkeley Function Calling Leaderboard (BFCL)72.4%Not measuredOnly GLM 4.6 measured
BrowseComp-Plus48.2%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 4.6 and GLM 5V Turbo
BenchmarkGLM 4.6GLM 5V TurboLeader
GPQA Diamond74.5%Not measuredOnly GLM 4.6 measured
GPQA Diamond (Artificial Analysis run)78.0%80.9%GLM 5V Turbo
Humanity's Last Exam (Artificial Analysis run)14.5%17.1%GLM 5V Turbo
LMArena Text: hard prompts14401443GLM 5V Turbo
LMArena Text: expert14321453GLM 5V Turbo
LMArena Text: hard prompts in English14451456GLM 5V Turbo
LMArena Vision: diagramsNot measured1286Only GLM 5V Turbo measured
LMArena Vision: homeworkNot measured1273Only GLM 5V Turbo measured
Kagi LLM Benchmark45.7%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.6 and GLM 5V Turbo
BenchmarkGLM 4.6GLM 5V TurboLeader
AIME92.7%Not measuredOnly GLM 4.6 measured
MGSM (Vals AI)89.8%Not measuredOnly GLM 4.6 measured
AA Math Index86.0Not measuredOnly GLM 4.6 measured
AIME 2025 (Artificial Analysis run)86.0%Not measuredOnly GLM 4.6 measured
LMArena Text: math14321442GLM 5V Turbo
LMArena Text: mathematical work14471447GLM 5V Turbo
MathArena16.3%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for GLM 4.6 and GLM 5V Turbo
BenchmarkGLM 4.6GLM 5V TurboLeader
MMLU Pro82.2%Not measuredOnly GLM 4.6 measured
LegalBench (Vals AI)79.6%Not measuredOnly GLM 4.6 measured
CorpFin (Vals AI)56.8%Not measuredOnly GLM 4.6 measured
TaxEval (Vals AI)66.2%Not measuredOnly GLM 4.6 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MMLU Pro (Artificial Analysis run)82.9%Not measuredOnly GLM 4.6 measured
LMArena Text: science14561448GLM 4.6
LMArena Text: medicine and healthcare14551433GLM 4.6
LMArena Text: legal and government14481436GLM 4.6
LMArena Text: business and finance14161435GLM 5V Turbo
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 4.6 and GLM 5V Turbo
BenchmarkGLM 4.6GLM 5V TurboLeader
Design Arena: websites11741230GLM 5V Turbo
Design Arena: UI components11451210GLM 5V Turbo
Design Arena: game dev11501218GLM 5V Turbo
Design Arena: data viz11611202GLM 5V Turbo
Design Arena: 3D11281208GLM 5V Turbo
Design Arena: all code categories11651227GLM 5V Turbo
Design Arena: SVG11081150GLM 5V Turbo
Design Arena: ASCII artNot measured1116Only 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 index810
General benchmarks for GLM 4.6 and GLM 5V Turbo
BenchmarkGLM 4.6GLM 5V TurboLeader
IFBench43.4%61.1%GLM 5V Turbo
Long context reasoning (AA-LCR)54.0%70.3%GLM 5V Turbo
LMArena Text14401437GLM 4.6
LMArena Text: instruction following14101423GLM 5V Turbo
LMArena Text: creative writing14121417GLM 5V Turbo
LMArena VisionNot measured1264Only GLM 5V Turbo measured
LMArena Text: English14491454GLM 5V Turbo
LMArena Text: non-English14261420GLM 4.6
LMArena Text: Chinese14991491GLM 4.6
LMArena Text: German14471422GLM 4.6
LMArena Text: Japanese1393Not measuredOnly GLM 4.6 measured
LMArena Text: Korean14001397GLM 4.6
LMArena Text: French14591443GLM 4.6
LMArena Text: Spanish14361452GLM 5V Turbo
LMArena Text: Russian14181432GLM 5V Turbo
LMArena Text: Polish14471432GLM 4.6
LMArena Text: multi-turn14271431GLM 5V Turbo
LMArena Text: longer queries14221438GLM 5V Turbo
LMArena Text: writing and language14151420GLM 5V Turbo
LMArena Text: entertainment and media14091407GLM 4.6
LMArena Vision: EnglishNot measured1274Only GLM 5V Turbo measured
LMArena Vision: ChineseNot measured1329Only GLM 5V Turbo measured
LMArena Vision: reading textNot measured1270Only GLM 5V Turbo measured
LMArena Vision: humorNot measured1268Only GLM 5V Turbo measured
LMArena Vision: captioningNot measured1264Only GLM 5V Turbo measured
LMArena Vision: recognizing thingsNot measured1241Only GLM 5V Turbo measured
LMArena Vision: creative writingNot measured1252Only GLM 5V Turbo measured
LMArena DocumentNot measured1416Only GLM 5V Turbo measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.6 and GLM 5V Turbo
BenchmarkGLM 4.6GLM 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

GLM 4.6$0.0017Fits in one request
GLM 5V Turbo$0.0032Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.037Fits in one request
GLM 5V Turbo$0.072Fits in one request

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.142Exceeds the context window
GLM 5V Turbo$0.280Exceeds the context window

GLM 4.6 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 GLM 4.6 and GLM 5V Turbo
SpecificationZ.ai GLM 4.6Z.ai GLM 5V Turbo
MakerZ.aiZ.ai
WeightsOpen weightsNo public weights listed
ReleasedSeptember 30, 2025April 1, 2026
Context window205K203K
Input $/Mtok$0.60$1.20
Output $/Mtok$2.20$4.00
Coding index8.8Not benchmarked
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than GLM 5V Turbo for coding?

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding. Pick GLM 5V Turbo for work measured by LMArena WebDev or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, GLM 4.6 or GLM 5V Turbo?

GLM 4.6 costs $0.60 per million input tokens and $2.20 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, GLM 4.6 or GLM 5V Turbo?

GLM 4.6, with 205K tokens against 203K.

How many benchmarks is the GLM 4.6 vs GLM 5V Turbo comparison based on?

47 benchmarks have a result for both models as of October 22, 2026. GLM 4.6's coding index rests on 2 independent benchmarks 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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