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GLM 4.5 vs Muse Wonder

Updated October 21, 2026. 31 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 4.5 Replace Muse Wonder
GLM 4.5Z.ai
Coding
64.2
Overall
12.8
Output $/M
$2.20
0
Muse WonderMeta
Coding
64.5
Overall
No data
Output $/M
$20.00
31
vs boards won of 31 shared

Decision reading

GLM 4.5 and Muse Wonder are level for coding, 64.2 against 64.5 on the Vibe Coding Index, so price and context decide.

Pick GLM 4.5 when output tokens cost 9.1x less. Pick Muse Wonder when the context window is larger, 1.05M against 131K tokens, or when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGLM 4.5Z.ai64.2/1001 independent benchmarkNo cost per solved taskModel BMuse WonderMeta64.5/1001 independent benchmarkNo cost per solved task
Shared results
31
GLM 4.5 only
29
Muse Wonder only
29
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 4.5 64.2 from 1 benchmark, Muse Wonder 64.5 from 1 benchmark.
Widest category
Web design, 26.8 points apart on average over 6 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): GLM 4.5 13.0% against Muse Wonder 50.1%, 37.1 points apart on a 0 to 100 scale.
Output price
GLM 4.5 $2.20 against Muse Wonder $20.00 per million output tokens, 9.1x apart.
Context window
GLM 4.5 takes 131K 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 4.5BarsMuse WonderTies
Coding02
Reasoning04
Math02
Knowledge04
Web design06
General013
All shared boards031
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
Coding benchmarks for GLM 4.5 and Muse Wonder
BenchmarkGLM 4.5Muse WonderLeader
SWE-bench Verified64.2%Not measuredOnly GLM 4.5 measured
LMArena WebDevNot measured1652Only Muse Wonder measured
LiveCodeBench (Vals AI)67.5%Not measuredOnly GLM 4.5 measured
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
LiveCodeBench (Artificial Analysis run)73.8%Not measuredOnly GLM 4.5 measured
SciCodeNot measured60.3%Only Muse Wonder measured
Terminal-Bench Hard (Artificial Analysis run)22.0%Not measuredOnly GLM 4.5 measured
WeirdML40.6%Not measuredOnly GLM 4.5 measured
ALE-Bench344.8Not measuredOnly GLM 4.5 measured
LMArena Text: coding14341522Muse Wonder
LMArena Text: software and IT14401515Muse Wonder
LMArena WebDev: ReactNot measured1641Only Muse Wonder measured
LMArena WebDev: HTMLNot measured1694Only Muse Wonder measured
Neither model has a result on the other 19 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GLM 4.5 and Muse Wonder
BenchmarkGLM 4.5Muse WonderLeader
AA Intelligence Index12.8Not measuredOnly GLM 4.5 measured
Epoch Capabilities IndexNot measured161.8Only Muse Wonder measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for GLM 4.5 and Muse Wonder
BenchmarkGLM 4.5Muse WonderLeader
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 Telecom43.0%Not measuredOnly GLM 4.5 measured
Vending-Bench 2Not measured$9,432Only Muse Wonder measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GLM 4.5 and Muse Wonder
BenchmarkGLM 4.5Muse WonderLeader
GPQA Diamond72.2%Not measuredOnly GLM 4.5 measured
MysteryMechanism (Vals AI)Not measured27.5%Only Muse Wonder measured
GPQA Diamond (Artificial Analysis run)78.2%Not measuredOnly GLM 4.5 measured
Humanity's Last Exam (Artificial Analysis run)13.0%50.1%Muse Wonder
LMArena Text: hard prompts14291506Muse Wonder
LMArena Text: expert14331513Muse Wonder
LMArena Text: hard prompts in English14291506Muse Wonder
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 4.5 and Muse Wonder
BenchmarkGLM 4.5Muse WonderLeader
AIME86.7%Not measuredOnly GLM 4.5 measured
MATH 500 (Vals AI)94.0%Not measuredOnly GLM 4.5 measured
MGSM (Vals AI)90.8%Not measuredOnly GLM 4.5 measured
AA Math Index73.7Not measuredOnly GLM 4.5 measured
AIME 2025 (Artificial Analysis run)73.7%Not measuredOnly GLM 4.5 measured
ProofBenchNot measured84.0%Only Muse Wonder measured
LMArena Text: math14271486Muse Wonder
LMArena Text: mathematical work14301514Muse Wonder
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.5 and Muse Wonder
BenchmarkGLM 4.5Muse WonderLeader
MMLU Pro81.2%Not measuredOnly GLM 4.5 measured
LegalBench (Vals AI)75.6%Not measuredOnly GLM 4.5 measured
CorpFin (Vals AI)61.0%Not measuredOnly GLM 4.5 measured
TaxEval (Vals AI)72.4%Not measuredOnly GLM 4.5 measured
MedQA (Vals AI)90.0%Not measuredOnly GLM 4.5 measured
MMLU Pro (Artificial Analysis run)83.5%Not measuredOnly GLM 4.5 measured
LMArena Text: science14441506Muse Wonder
LMArena Text: medicine and healthcare14551512Muse Wonder
LMArena Text: legal and government14381505Muse Wonder
LMArena Text: business and finance14201483Muse Wonder
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GLM 4.5 and Muse Wonder
BenchmarkGLM 4.5Muse WonderLeader
Design Arena: websites11701361Muse Wonder
Design Arena: UI components11441371Muse Wonder
Design Arena: game dev11451380Muse Wonder
Design Arena: data viz11591330Muse Wonder
Design Arena: 3D11701425Muse Wonder
Design Arena: all code categories11651370Muse Wonder
Design Arena: SVG1096Not measuredOnly GLM 4.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index013
General benchmarks for GLM 4.5 and Muse Wonder
BenchmarkGLM 4.5Muse WonderLeader
Vals IndexNot measured64.9%Only Muse Wonder measured
Public Benefits Bench (Vals AI)Not measured70.2%Only Muse Wonder measured
IFBench44.1%Not measuredOnly GLM 4.5 measured
Long context reasoning (AA-LCR)52.7%80.7%Muse Wonder
DTBenchNot measured95.2%Only Muse Wonder measured
LMCANot measured56.8%Only Muse Wonder measured
Creative writing (Lech Mazur)73.4%Not measuredOnly GLM 4.5 measured
LMArena Text14301502Muse Wonder
LMArena Text: instruction following14041491Muse Wonder
LMArena Text: creative writing13951491Muse Wonder
LMArena Text: English14371507Muse Wonder
LMArena Text: non-English14171492Muse Wonder
LMArena Text: Chinese14651537Muse Wonder
LMArena Text: German1407Not measuredOnly GLM 4.5 measured
LMArena Text: Japanese1415Not measuredOnly GLM 4.5 measured
LMArena Text: Korean1380Not measuredOnly GLM 4.5 measured
LMArena Text: French14181523Muse Wonder
LMArena Text: Spanish1454Not measuredOnly GLM 4.5 measured
LMArena Text: Russian14131522Muse Wonder
LMArena Text: Polish1422Not measuredOnly GLM 4.5 measured
LMArena Text: multi-turn14151510Muse Wonder
LMArena Text: longer queries14121493Muse Wonder
LMArena Text: writing and language14031496Muse Wonder
LMArena Text: entertainment and media14041482Muse Wonder
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5 and Muse Wonder
BenchmarkGLM 4.5Muse 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 4.5$0.0017Fits in one request
Muse Wonder$0.014Fits in one request

GLM 4.5 costs less

Repository review

50K input + 3K output tokens

GLM 4.5$0.037Fits in one request
Muse Wonder$0.260Fits in one request

GLM 4.5 costs less

Agent loop

200K input + 10K output tokens

GLM 4.5$0.142Exceeds the context window
Muse Wonder$1.00Fits in one request

GLM 4.5 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 4.5 and Muse Wonder
SpecificationZ.ai GLM 4.5Meta Muse Wonder
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedJuly 25, 2025October 12, 2026
Context window131K1.05M
Input $/Mtok$0.60$4.00
Output $/Mtok$2.20$20.00
Coding index64.264.5
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 better than Muse Wonder for coding?

GLM 4.5 and Muse Wonder are level for coding, 64.2 against 64.5 on the Vibe Coding Index, so price and context decide. Pick GLM 4.5 when output tokens cost 9.1x less. Pick Muse Wonder when the context window is larger, 1.05M against 131K tokens, or when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GLM 4.5 or Muse Wonder?

GLM 4.5 costs $0.60 per million input tokens and $2.20 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 4.5 or Muse Wonder?

Muse Wonder, with 1.05M tokens against 131K.

How many benchmarks is the GLM 4.5 vs Muse Wonder comparison based on?

31 benchmarks have a result for both models as of October 21, 2026. GLM 4.5'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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