All Releases

Muse Wonder vs GLM-5.3: Release Comparison

Comparison of the Muse Wonder and GLM-5.3 releases: 2 and 2 models respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 4 models.

  • For intelligence, Muse Wonder scores highest: Muse Wonder (Max) at 44, against GLM-5.3 (Max) at 32 for GLM-5.3.
  • For time per task, Muse Wonder is fastest: Muse Wonder (High) at 8.8 min, against GLM-5.3 (Low) at 15.5 min for GLM-5.3.
  • For cost per task, GLM-5.3 is cheapest: GLM-5.3 (Low) at $1.57, against Muse Wonder (Max) at $6.95 for Muse Wonder.
Model Playground

Releases compared

Muse Wonder (max)Muse Wonder (high)GLM-5.3 (max)GLM-5.3 (low)
Intelligence Index
44
41
32
23
Finance & Accounting
51
50
42
31
Strategy & Ops
54
54
47
38
Legal
47
46
36
28
Healthcare & Medical
49
--
39
31
Cost per TaskUSD
$6.95
--
$5.01
$1.57
Time per TaskMinutes
12.1
8.8
30.7
15.5
Time to First Answer Tokens
20.56
10.24
96.04
13.04
Context Window
1M
1M
1M
1M
Creator
Meta
Meta
Z AI
Z AI
License
Proprietary
Proprietary
Open
Open
Input Modality

Supports: text, image, speech, and video

Supports: text, image, speech, and video

Supports: text

Supports: text

Output Modality

Supports: text

Supports: text

Supports: text

Supports: text

Providers
Meta
Meta
ModalZaiTogether AI
+19
ZaiSupernovaDigitalOcean
+3
Updated

Intelligence

Artificial Analysis Intelligence Index · Higher is better

Time per Task

Inference time (minutes) per Intelligence Index task · Lower is better

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is better

IntelligenceUpdated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v5.0.1 incorporates 9 evaluations: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), and Terminal-Bench-Science 0.1
No publicly available API

Intelligence Index vs. Cost per Task

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
Most attractive quadrant
GLM-5.3
Pareto line
AA-Briefcase v1.1
AutomationBench-AA

Cost per Task (USD, Log Scale)

Cost

Cost per Intelligence Index Task

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better
No publicly available API

Speed & Latency

Time per Intelligence Index Task

Output tokens divided by end-to-end output speed (minutes per Intelligence Index task) · Speed at the model's own endpoint or the median across providers · Lower is better
No publicly available API

Capability Scores

Capability Indexes

Measures the performance of models on specific capabilities and industries
Finance & Accounting Index

Incorporates 5 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, AutomationBench-AA, GDP.pdf · Higher is better

Strategy & Ops Index

Incorporates 4 evaluations: AutomationBench-AA, AA-Briefcase v1.1, AA-Omniscience v1.1, GDP.pdf · Higher is better

Legal Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf, AutomationBench-AA · Higher is better

Healthcare & Medical Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, MLCR-AA, AutomationBench-AA, HLE-Diamond · Higher is better

Engineering Index

Incorporates 7 evaluations: AA-Omniscience v1.1, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1, HLE-Diamond, Terminal-Bench 4.0, FrontierCode 2.0, AA-Briefcase v1.1 · Higher is better

Economics Index

Incorporates 4 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf · Higher is better

Benchmarks

AA-PersonalityBenchNew

vs

AA-PersonalityBench: Expressiveness Index, Muse Wonder (max) vs GLM-5.3 (max)

Chance each model’s answer is judged to show more of each trait from their Elo gap · 50% is an even match
MetaMuse Wonder (max)Z AIGLM-5.3 (max)
Lexically Varied
14%
86%
Natural Sounding
16%
84%
Eloquent
22%
78%
Literate
28%
72%
Metaphorical
58%
42%