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Muse Spark 1.3 (Max)

MetaProprietary

Descripción

Muse Spark 1.3 is Meta Superintelligence Labs' proprietary multimodal reasoning model for long-running agentic, multi-agent, and coding workflows. It improves on Muse Spark 1.2 in long-horizon collaboration, multitasking, instruction following, tool use, failure recovery, and concise coding execution. It supports a 1,048,576-token context window and is available through Muse Code and the Meta Model API in standard and contributor tiers. ZeroEval routes to the lower-cost contributor endpoint, where prompts and outputs may be used to improve Meta's products, while standard pricing remains the default comparison basis.

Fecha de lanzamiento
2026-09-02
Parámetros
—
Longitud del contexto
1.0M
Modalidades
audio, image, pdf, text, video

Radar de capacidades

48
general
73
coding
93
reasoning
72
science
70
agents
70
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica6
68.0
LS
Ranking de codificación26
93.0
AA
Ranking general14
83.0
AA
Ranking multimodal70
54.0
LS
Razonamiento17
90.0
LB
Ciencia13
87.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

Job Bench64.9%Aut.
Agentic IF Index (Internal)57.8%Aut.
AutomationBench49.4%Aut.

Code

DeepSWE 1.175.4%Aut.
SWE Atlas - Codebase QnA59.4%Aut.

General

GDPval-AA1754.00 / 3000Aut.

Long Context

MRCR v2 (8-needle)98.5%Aut.
MRCR v2 (8-needle, 512K-1M)98.1%Aut.

Multimodal

OSWorld 2.066.9%Aut.

Reasoning

Terminal-Bench 2.188.8%Aut.

Search

DeepSearchQA89.4%Aut.

Índices de evaluación AA

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
93.5
Terminalbench V2 1
84.3
Lcr(Artificial Analysis)
83.0
Coding Index(Artificial Analysis)
75.8
Scicode(UIUC + Argonne National Lab (2024))
58.8
Tau Banking
50.5
Hle(Center for AI Safety + Scale AI (2025))
48.7
Intelligence Index(Artificial Analysis)
48.1
Terminalbench V4 0
33.3

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Legal
100
Finance
100
Reasoning
100
Agents
100
General
100
Long Context
100
Search
90
Multimodal
70
Code
70
Tool Calling
70
Vision
70
Productivity
60

Precios

Precio de entrada$1.25 / 1M tokens
Precio de salida$4.25 / 1M tokens
Precio mixto (3:1)$2 / 1M tokens
Precio de lectura caché$0.15 / 1M tokens

Velocidad

Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

3 proveedores

Más barato: Meta Model APIMás caro: EmpirioLabs AI
ProveedorEntradaSalida
1Meta Model APIMás barato
$0
$0
2MetaPRINCIPAL
$1.25
$4.25
3EmpirioLabs AI
$1.25
$4.25

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas