All Releases

Muse Spark Open vs GLM-5.3-Flash: Release Comparison

Comparison of the Muse Spark Open and GLM-5.3-Flash releases: 1 model and 1 model respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 2 models.

  • For intelligence, GLM-5.3-Flash scores highest at 28, against Muse Spark Open at 25.
  • For time per task, Muse Spark Open is fastest at 7.6 min, against GLM-5.3-Flash at 45.5 min.
  • For cost per task, GLM-5.3-Flash is cheapest at $0.58, against Muse Spark Open at $2.02.
Model Playground

Releases compared

GLM-5.3-FlashMuse Spark Open (xhigh)
Intelligence Index
28
25
Finance & Accounting
39
42
Strategy & Ops
45
43
Legal
35
40
Healthcare & Medical
37
39
Cost per TaskUSD
$0.58
$2.02
Time per TaskMinutes
45.5
7.6
Time to First Answer Tokens
97.46
11.85
Context Window
1M
1M
Creator
Z AI
Meta
License
Open
Open
Input Modality

Supports: text and image

Supports: text, image, speech, and video

Output Modality

Supports: text

Supports: text

Providers
Artificial Analysis Intelligence Index · Higher is better
Inference time (minutes) per Intelligence Index task · Lower is better
Weighted average cost (USD) per Intelligence Index task · Lower is better

Intelligence

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-AA 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), and Terminal-Bench-Science 0.1

Intelligence Index vs. Cost per Task

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
Most attractive quadrant
Pareto line

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

Performance

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

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-AA 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

AA-PersonalityBench

vs

AA-PersonalityBench: Expressiveness Index, Muse Spark Open (xhigh) vs GLM-5.3-Flash

Chance each model’s answer is judged to show more of each trait from their Elo gap · 50% is an even match
MetaMuse Spark Open (xhigh)Z AIGLM-5.3-Flash
Natural Sounding
4%
96%
Literate
6%
94%
Eloquent
8%
92%
Lexically Varied
9%
91%
Metaphorical
78%
22%