Muse Ember vs GLM-5.3: Release Comparison

Name: Intelligence
Creator: Artificial Analysis
License: https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf

Comparison of the Muse Ember 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 Ember scores highest: Muse Ember (Max) at 36, against GLM-5.3 (Max) at 32 for GLM-5.3.
For cost per task, Muse Ember is cheapest: Muse Ember (Xhigh) at $0.12, against GLM-5.3 (Low) at $1.57 for GLM-5.3.

Model Playground

Releases compared


	Muse Ember (max)	Muse Ember (xhigh)	GLM-5.3 (max)	GLM-5.3 (low)
Intelligence Index	36	34	32	23
Finance & Accounting	45	44	42	31
Strategy & Ops	49	49	47	38
Legal	38	38	36	28
Healthcare & Medical	--	--	39	31
Engineering	42	41	38	28
Economics	41	40	37	29
AA-Briefcase v1.1	1521	1527	1503	1185
AutomationBench-AA	68.1%	66.7%	62.2%	52.0%
Terminal-Bench 4.0	40.9%	35.4%	41.9%	34.8%
FrontierCode 2.0	27.2%	22.0%	21.6%	12.7%
AA-Omniscience v1.1	7	8	6	−11
GDP.pdf	22.8%	22.4%	11.2%	8.8%
HLE-Diamond	25.1%	23.6%	17.9%	17.5%
CritPt v2 (Hard Subset)	39.0%	38.5%	33.5%	21.5%
Terminal-Bench-Science 0.1	20.0%	17.6%	9.5%	3.8%

Cost per TaskUSD	$0.14	$0.12	$5.01	$1.57
Input PriceUSD/1M Tokens	$0.10	$0.10	$1.40	$1.40
Output PriceUSD/1M Tokens	$0.50	$0.50	$4.40	$4.40
Cache Hit PriceUSD/1M Tokens	$0.004	$0.004	$0.26	$0.26
Cache Write PriceUSD/1M Tokens	--	--	--	--

Time per TaskMinutes	--	--	29.5	16.2
Output Speedtok/s	--	--	67	54
Time to First Answer Tokens	--	--	79.91	12.42
Time to First Tokens	--	--	3.39	3.49
End-to-End TimeMean of Single-Request Workloads (s)	--	--	154.62	36.54

Context Window	1M	1M	1M	1M
Creator	Meta	Meta	Z AI	Z AI
License	Proprietary	Proprietary	Open	Open
Input Modality	Supports: text and image	Supports: text and image	Supports: text	Supports: text
Output Modality	Supports: text	Supports: text	Supports: text	Supports: text
Providers			+21	+5

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

Artificial Analysis Intelligence Index v5.0.1 includes: 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), Terminal-Bench-Science 0.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence Index vs. Cost per Task

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task

Most attractive quadrant

Muse Ember

GLM-5.3

Pareto line

AA-Briefcase v1.1

AutomationBench-AA

Cost per Task (USD, Log Scale)

Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.

Cost

Cost per Intelligence Index Task

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better

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

The weighted average time (minutes) per Artificial Analysis Intelligence Index task: output tokens per task divided by output speed, weighted by each benchmark's weight in the Intelligence Index.

Speed and latency metrics average each endpoint's runs over the past 5 days, and the error rate pools them. We run the benchmark every 6 hours, and endpoints of deprecated models every 18 hours.

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

Personality Indexes

Each axis is one of 8 personality indexes: the mean of its traits’ Elo z-scores, percentile ranked from 1 to 100 across all models evaluated in the benchmark

Muse Ember vs GLM-5.3: Release Comparison

Intelligence

Time per Task

Cost per Task

IntelligenceUpdated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index

Intelligence Index vs. Cost per Task

Cost per Intelligence Index Task

Artificial Analysis Intelligence Index

Cost

Cost per Intelligence Index Task

Cost per Intelligence Index Task

Speed & Latency

Time per Intelligence Index Task

Time per Intelligence Index Task

Time Period

Capability Scores

Capability Indexes

Benchmarks

AA-PersonalityBenchNew

Personality Indexes