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GLM 5V Turbo vs Muse Wonder

Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GLM 5V TurboZ.ai
Coding
28.8
Overall
23.5
Output $/M
$4.00
0
Muse WonderMeta
Coding
64.5
Overall
No data
Output $/M
$20.00
34
vs boards won of 34 shared

Decision reading

Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 28.8 for GLM 5V Turbo.

Pick GLM 5V Turbo when output tokens cost 5.0x less.

Shared results
34
GLM 5V Turbo only
31
Muse Wonder only
26
Like-for-like categories
6 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
GLM 5V Turbo 28.8 from 1 benchmark, Muse Wonder 64.5 from 1 benchmark.
Widest category
Coding, 26.1 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: GLM 5V Turbo 1356 against Muse Wonder 1694, 40.6 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against Muse Wonder $20.00 per million output tokens, 5.0x apart.
Context window
GLM 5V Turbo takes 203K tokens, Muse Wonder 1.05M.

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 5V TurboBarsMuse WonderTies
Coding05
Reasoning04
Math02
Knowledge04
Web design06
General013
All shared boards034
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for GLM 5V Turbo and Muse Wonder
BenchmarkGLM 5V TurboMuse WonderLeader
LMArena WebDev14021652Muse Wonder
Terminal-Bench 4 (Vals AI)Not measured49.5%Only Muse Wonder measured
Vibe Code Bench (Vals AI)Not measured83.1%Only Muse Wonder measured
Code migration (Vals AI)Not measured62.5%Only Muse Wonder measured
IOI (Vals AI)Not measured66.9%Only Muse Wonder measured
SWE-bench Multimodal (Vals AI)Not measured45.6%Only Muse Wonder measured
Vibe Code Bench 1-100 (Vals AI)Not measured26.6%Only Muse Wonder measured
CyberBench (Vals AI)Not measured80.4%Only Muse Wonder measured
SciCodeNot measured60.3%Only Muse Wonder measured
Terminal-Bench Hard (Artificial Analysis run)32.6%Not measuredOnly GLM 5V Turbo measured
LMArena Text: coding14661522Muse Wonder
LMArena Text: software and IT14601515Muse Wonder
LMArena WebDev: React13861641Muse Wonder
LMArena WebDev: HTML13561694Muse Wonder
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 23 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GLM 5V Turbo and Muse Wonder
BenchmarkGLM 5V TurboMuse WonderLeader
AA Intelligence Index23.5Not measuredOnly GLM 5V Turbo measured
Epoch Capabilities IndexNot measured161.8Only Muse Wonder measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
Agentic work benchmarks for GLM 5V Turbo and Muse Wonder
BenchmarkGLM 5V TurboMuse WonderLeader
Design Arena: agents building web apps1124Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building full-stack apps1149Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building mobile apps1134Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Android apps1267Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Godot games957Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building games1102Not measuredOnly GLM 5V Turbo measured
Design Arena: HTML slides1120Not measuredOnly GLM 5V Turbo measured
Design Arena: PowerPoint slides1152Not measuredOnly GLM 5V Turbo measured
Design Arena: spreadsheetsNot measured1236Only Muse Wonder measured
Finance Agent (Vals AI)Not measured56.6%Only Muse Wonder measured
Tax Agent Bench (Vals AI)Not measured36.3%Only Muse Wonder measured
Legal Research Bench (Vals AI)Not measured50.5%Only Muse Wonder measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured23.8%Only Muse Wonder measured
Excel Modeling Benchmark (Vals AI)Not measured67.1%Only Muse Wonder measured
BioMysteryBench (Vals AI)Not measured67.0%Only Muse Wonder measured
Terminal-Bench-Science (Vals AI)Not measured22.9%Only Muse Wonder measured
Vals Science IndexNot measured39.1%Only Muse Wonder measured
CUA-bench (Vals AI)Not measured7.2%Only Muse Wonder measured
τ²-Bench Telecom98.5%Not measuredOnly GLM 5V Turbo measured
Vending-Bench 2Not measured$9,432Only Muse Wonder measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GLM 5V Turbo and Muse Wonder
BenchmarkGLM 5V TurboMuse WonderLeader
MysteryMechanism (Vals AI)Not measured27.5%Only Muse Wonder measured
GPQA Diamond (Artificial Analysis run)80.9%Not measuredOnly GLM 5V Turbo measured
Humanity's Last Exam (Artificial Analysis run)17.1%50.1%Muse Wonder
LMArena Text: hard prompts14431506Muse Wonder
LMArena Text: expert14531513Muse Wonder
LMArena Text: hard prompts in English14561506Muse Wonder
LMArena Vision: diagrams1286Not measuredOnly GLM 5V Turbo measured
LMArena Vision: homework1273Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 5V Turbo and Muse Wonder
BenchmarkGLM 5V TurboMuse WonderLeader
ProofBenchNot measured84.0%Only Muse Wonder measured
LMArena Text: math14421486Muse Wonder
LMArena Text: mathematical work14471514Muse Wonder
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 5V Turbo and Muse Wonder
BenchmarkGLM 5V TurboMuse WonderLeader
LMArena Text: science14481506Muse Wonder
LMArena Text: medicine and healthcare14331512Muse Wonder
LMArena Text: legal and government14361505Muse Wonder
LMArena Text: business and finance14351483Muse Wonder
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GLM 5V Turbo and Muse Wonder
BenchmarkGLM 5V TurboMuse WonderLeader
Design Arena: websites12301361Muse Wonder
Design Arena: UI components12131371Muse Wonder
Design Arena: game dev12191380Muse Wonder
Design Arena: data viz12021330Muse Wonder
Design Arena: 3D12091425Muse Wonder
Design Arena: all code categories12281370Muse Wonder
Design Arena: SVG1151Not measuredOnly GLM 5V Turbo measured
Design Arena: ASCII art1118Not measuredOnly 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 index013
General benchmarks for GLM 5V Turbo and Muse Wonder
BenchmarkGLM 5V TurboMuse WonderLeader
Vals IndexNot measured64.9%Only Muse Wonder measured
Public Benefits Bench (Vals AI)Not measured70.2%Only Muse Wonder measured
IFBench61.1%Not measuredOnly GLM 5V Turbo measured
Long context reasoning (AA-LCR)70.3%80.7%Muse Wonder
DTBenchNot measured95.2%Only Muse Wonder measured
LMCANot measured56.8%Only Muse Wonder measured
LMArena Text14371502Muse Wonder
LMArena Text: instruction following14231491Muse Wonder
LMArena Text: creative writing14171491Muse Wonder
LMArena Vision1264Not measuredOnly GLM 5V Turbo measured
LMArena Text: English14541507Muse Wonder
LMArena Text: non-English14201492Muse Wonder
LMArena Text: Chinese14911537Muse Wonder
LMArena Text: German1422Not measuredOnly GLM 5V Turbo measured
LMArena Text: Korean1397Not measuredOnly GLM 5V Turbo measured
LMArena Text: French14431523Muse Wonder
LMArena Text: Spanish1452Not measuredOnly GLM 5V Turbo measured
LMArena Text: Russian14321522Muse Wonder
LMArena Text: Polish1432Not measuredOnly GLM 5V Turbo measured
LMArena Text: multi-turn14311510Muse Wonder
LMArena Text: longer queries14381493Muse Wonder
LMArena Text: writing and language14201496Muse Wonder
LMArena Text: entertainment and media14071482Muse Wonder
LMArena Vision: English1274Not measuredOnly GLM 5V Turbo measured
LMArena Vision: Chinese1329Not measuredOnly GLM 5V Turbo measured
LMArena Vision: reading text1270Not measuredOnly GLM 5V Turbo measured
LMArena Vision: humor1268Not measuredOnly GLM 5V Turbo measured
LMArena Vision: captioning1264Not measuredOnly GLM 5V Turbo measured
LMArena Vision: recognizing things1241Not measuredOnly GLM 5V Turbo measured
LMArena Vision: creative writing1252Not measuredOnly GLM 5V Turbo measured
LMArena Document1416Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5V Turbo and Muse Wonder
BenchmarkGLM 5V TurboMuse WonderLeader
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 5V Turbo$0.0032Fits in one request
Muse Wonder$0.014Fits in one request

GLM 5V Turbo costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
Muse Wonder$0.260Fits in one request

GLM 5V Turbo costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
Muse Wonder$1.00Fits in one request

GLM 5V Turbo 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 5V Turbo and Muse Wonder
SpecificationZ.ai GLM 5V TurboMeta Muse Wonder
MakerZ.aiMeta
WeightsNo public weights listedNo public weights listed
ReleasedApril 1, 2026October 12, 2026
Context window203K1.05M
Input $/Mtok$1.20$4.00
Output $/Mtok$4.00$20.00
Coding index28.864.5
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than Muse Wonder for coding?

Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 28.8 for GLM 5V Turbo. Pick GLM 5V Turbo when output tokens cost 5.0x less.

Which is cheaper, GLM 5V Turbo or Muse Wonder?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5V Turbo or Muse Wonder?

Muse Wonder, with 1.05M tokens against 203K.

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

34 benchmarks have a result for both models as of October 21, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and Muse Wonder's on 1. Where only one model has a result, the page says so instead of naming a winner.

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