Enter opens the highlighted result. Esc closes.

GLM 5 vs Muse Wonder

Updated October 21, 2026. 37 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5 Replace Muse Wonder
GLM 5Z.ai
Coding
59.7
Overall
27.9
Output $/M
$3.20
0
Muse WonderMeta
Coding
64.5
Overall
No data
Output $/M
$20.00
37
vs boards won of 37 shared

Decision reading

Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 59.7 for GLM 5, though on 1 benchmark against 2.

Pick GLM 5 when output tokens cost 6.3x less.

Model AGLM 5Z.ai59.7/1002 independent benchmarks$0.63 per solved taskModel BMuse WonderMeta64.5/1001 independent benchmarkNo cost per solved task
Shared results
37
GLM 5 only
38
Muse Wonder only
23
Like-for-like categories
8 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 5 59.7 from 2 benchmarks, Muse Wonder 64.5 from 1 benchmark.
Widest category
Agentic work, 31.3 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5 23.4% against Muse Wonder 83.1%, 59.7 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against Muse Wonder $20.00 per million output tokens, 6.3x apart.
Context window
GLM 5 takes 205K 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 5BarsMuse WonderTies
Coding06
Intelligence01
Agentic work01
Reasoning04
Math02
Knowledge04
Web design06
General013
All shared boards037
CodingLike-for-likeFour of these boards feed the Vibe Coding Index06
Coding benchmarks for GLM 5 and Muse Wonder
BenchmarkGLM 5Muse WonderLeader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LMArena WebDev14351652Muse Wonder
LiveCodeBench (Vals AI)81.9%Not measuredOnly GLM 5 measured
SWE-bench Verified (Vals AI)71.4%Not measuredOnly GLM 5 measured
Terminal-Bench 4 (Vals AI)Not measured49.5%Only Muse Wonder measured
Vibe Code Bench (Vals AI)23.4%83.1%Muse Wonder
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)43.2%Not measuredOnly GLM 5 measured
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.6Not measuredOnly GLM 5 measured
LMArena Text: coding14611522Muse Wonder
LMArena Text: software and IT14601515Muse Wonder
LMArena WebDev: React14241641Muse Wonder
LMArena WebDev: HTML14501694Muse Wonder
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 5 and Muse Wonder
BenchmarkGLM 5Muse WonderLeader
AA Intelligence Index27.9Not measuredOnly GLM 5 measured
Epoch Capabilities Index145.8161.8Muse Wonder
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 5 and Muse Wonder
BenchmarkGLM 5Muse WonderLeader
Design Arena: agents building full-stack apps1123Not measuredOnly GLM 5 measured
Design Arena: agents building mobile apps1136Not measuredOnly GLM 5 measured
Design Arena: agents building Android apps1152Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: HTML slides1148Not measuredOnly GLM 5 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 Telecom98.2%Not measuredOnly GLM 5 measured
Vending-Bench 2$4,432$9,432Muse Wonder
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GLM 5 and Muse Wonder
BenchmarkGLM 5Muse WonderLeader
GPQA Diamond83.3%Not measuredOnly GLM 5 measured
MysteryMechanism (Vals AI)Not measured27.5%Only Muse Wonder measured
GPQA Diamond (Artificial Analysis run)82.0%Not measuredOnly GLM 5 measured
Humanity's Last Exam (Artificial Analysis run)29.3%50.1%Muse Wonder
GPQA Diamond (Epoch AI run)87.8%Not measuredOnly GLM 5 measured
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%Not measuredOnly GLM 5 measured
LMArena Text: hard prompts14521506Muse Wonder
LMArena Text: expert14541513Muse Wonder
LMArena Text: hard prompts in English14601506Muse Wonder
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 5 and Muse Wonder
BenchmarkGLM 5Muse WonderLeader
AIME91.7%Not measuredOnly GLM 5 measured
OTIS Mock AIME80.0%Not measuredOnly GLM 5 measured
ProofBenchNot measured84.0%Only Muse Wonder measured
LMArena Text: math14401486Muse Wonder
LMArena Text: mathematical work14511514Muse Wonder
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 5 and Muse Wonder
BenchmarkGLM 5Muse WonderLeader
MMLU Pro86.0%Not measuredOnly GLM 5 measured
LegalBench (Vals AI)84.1%Not measuredOnly GLM 5 measured
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%Not measuredOnly GLM 5 measured
TaxEval (Vals AI)70.0%Not measuredOnly GLM 5 measured
MedQA (Vals AI)94.3%Not measuredOnly GLM 5 measured
LMArena Text: science14601506Muse Wonder
LMArena Text: medicine and healthcare14551512Muse Wonder
LMArena Text: legal and government14531505Muse Wonder
LMArena Text: business and finance14301483Muse 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 5 and Muse Wonder
BenchmarkGLM 5Muse WonderLeader
Design Arena: websites12471361Muse Wonder
Design Arena: UI components12301371Muse Wonder
Design Arena: game dev12341380Muse Wonder
Design Arena: data viz12281330Muse Wonder
Design Arena: 3D12291425Muse Wonder
Design Arena: all code categories12461370Muse Wonder
Design Arena: SVG1168Not measuredOnly GLM 5 measured
Design Arena: ASCII art1146Not measuredOnly GLM 5 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 5 and Muse Wonder
BenchmarkGLM 5Muse WonderLeader
Vals IndexNot measured64.9%Only Muse Wonder measured
Public Benefits Bench (Vals AI)Not measured70.2%Only Muse Wonder measured
IFBench72.3%Not measuredOnly GLM 5 measured
Long context reasoning (AA-LCR)75.7%80.7%Muse Wonder
DTBenchNot measured95.2%Only Muse Wonder measured
LMCANot measured56.8%Only Muse Wonder measured
CL-bench18.7%Not measuredOnly GLM 5 measured
LMArena Text14461502Muse Wonder
LMArena Text: instruction following14281491Muse Wonder
LMArena Text: creative writing14381491Muse Wonder
LMArena Text: English14581507Muse Wonder
LMArena Text: non-English14301492Muse Wonder
LMArena Text: Chinese15111537Muse Wonder
LMArena Text: German1447Not measuredOnly GLM 5 measured
LMArena Text: Japanese1416Not measuredOnly GLM 5 measured
LMArena Text: Korean1423Not measuredOnly GLM 5 measured
LMArena Text: French14561523Muse Wonder
LMArena Text: Spanish1454Not measuredOnly GLM 5 measured
LMArena Text: Russian14361522Muse Wonder
LMArena Text: Polish1434Not measuredOnly GLM 5 measured
LMArena Text: multi-turn14561510Muse Wonder
LMArena Text: longer queries14461493Muse Wonder
LMArena Text: writing and language14371496Muse Wonder
LMArena Text: entertainment and media14261482Muse 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 5 and Muse Wonder
BenchmarkGLM 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 5$0.0026Fits in one request
Muse Wonder$0.014Fits in one request

GLM 5 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
Muse Wonder$0.260Fits in one request

GLM 5 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds the context window
Muse Wonder$1.00Fits in one request

GLM 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 5 and Muse Wonder
SpecificationZ.ai GLM 5Meta Muse Wonder
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedFebruary 11, 2026October 12, 2026
Context window205K1.05M
Input $/Mtok$1.00$4.00
Output $/Mtok$3.20$20.00
Coding index59.764.5
Independent measurements behind it21
Cost per solved task$0.63Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than Muse Wonder for coding?

Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 59.7 for GLM 5, though on 1 benchmark against 2. Pick GLM 5 when output tokens cost 6.3x less.

Which is cheaper, GLM 5 or Muse Wonder?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for GLM 5 only.

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

Muse Wonder, with 1.05M tokens against 205K.

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

37 benchmarks have a result for both models as of October 21, 2026. GLM 5's coding index rests on 2 independent benchmarks and Muse Wonder's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next