Muse Ember vs. Mistral Large 4: comparación de lanzamientos

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

Comparación de los lanzamientos Muse Ember y Mistral Large 4: 2 y 2 modelos respectivamente, cada uno con distintas características de inteligencia, rendimiento y precio. A continuación se comparan las métricas clave de los 4 modelos.

En inteligencia, Muse Ember obtiene la puntuación más alta: Muse Ember (Max), con 36, frente a Mistral Large 4 (High), con 26 de Mistral Large 4.
En costo por tarea, Muse Ember es el más económico: Muse Ember (Xhigh), con $0.12, frente a Mistral Large 4 (Medium), con $1.41 de Mistral Large 4.

Playground de modelos

Lanzamientos comparados


	Muse Ember (max)	Muse Ember (xhigh)	Mistral Large 4 (high)	Mistral Large 4 (medium)
Intelligence Index	36	34	26	23
Finanzas y contabilidad	45	44	39	35
Estrategia y operaciones	49	49	43	39
Jurídico	38	38	35	31
Salud y medicina	--	--	--	--
Ingeniería	42	41	33	31
Economía	41	40	36	32
AA-Briefcase v1.1	1521	1527	1348	1188
AutomationBench-AA	68.1%	66.7%	57.8%	52.8%
Terminal-Bench 4.0	40.9%	35.4%	24.7%	23.2%
FrontierCode 2.0	27.2%	22.0%	15.0%	13.3%
AA-Omniscience v1.1	7	8	5	3
GDP.pdf	22.8%	22.4%	17.6%	16.8%
HLE-Diamond	25.1%	23.6%	17.3%	13.9%
CritPt v2 (Hard Subset)	39.0%	38.5%	27.0%	22.5%
Terminal-Bench-Science 0.1	20.0%	17.6%	4.3%	3.3%

Costo por tareaUSD	$0.14	$0.12	$2.06	$1.41
Precio de entradaUSD/1M tokens	$0.10	$0.10	$0.70	$0.70
Precio de salidaUSD/1M tokens	$0.50	$0.50	$2.10	$2.10
Precio de lectura de cachéUSD/1M tokens	$0.004	$0.004	$0.07	$0.07
Precio de escritura de cachéUSD/1M tokens	--	--	$0.70	$0.70

Tiempo por tareaMinutos	--	--	12.5	9.1
Velocidad de salidatok/s	--	--	109	103
Tiempo hasta el primer token de respuestas	--	--	31.27	20.27
Tiempo hasta el primer tokens	--	--	3.11	3.56
Tiempo de extremo a extremoMedia de las cargas de solicitud única (s)	--	--	73.72	49.77

Ventana de contexto	1M	1M	1M	1M
Creador	Meta	Meta	Mistral	Mistral
Licencia	Propietario	Propietario	Abierto	Abierto
Modalidad de entrada	Admite: texto e imágenes	Admite: texto e imágenes	Admite: texto e imágenes	Admite: texto e imágenes
Modalidad de salida	Admite: texto	Admite: texto	Admite: texto	Admite: texto
Proveedores

Updated

Inteligencia

Artificial Analysis Intelligence Index · Higher is better

Tiempo por tarea

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

Costo por tarea

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

InteligenciaUpdated

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. costo por tarea

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

Most attractive quadrant

Muse Ember

Mistral Large 4

Pareto line

AA-Briefcase v1.1

AutomationBench-AA

Costo por tarea (USD, escala logarítmica)

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.

Costo

Costo por tarea del Intelligence Index

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

Velocidad y latencia

Tiempo por tarea del Intelligence Index

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.

Puntuaciones de capacidades

Índices de capacidades

Mide el rendimiento de los modelos en capacidades e industrias específicas

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

Muse Ember vs. Mistral Large 4: comparación de lanzamientos

Inteligencia

Tiempo por tarea

Costo por tarea

InteligenciaUpdated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index

Intelligence Index vs. costo por tarea

Cost per Intelligence Index Task

Artificial Analysis Intelligence Index

Costo

Costo por tarea del Intelligence Index

Cost per Intelligence Index Task

Velocidad y latencia

Tiempo por tarea del Intelligence Index

Time per Intelligence Index Task

Time Period

Puntuaciones de capacidades

Índices de capacidades