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Muse Glimmer-30B

MetaOpen WeightApache 2.0 · Uso Comercial

Descripción

Muse Glimmer-30B is Meta Superintelligence Labs' open-weight, dense multimodal model for autonomous agentic work on consumer hardware. Its 29.6-billion-parameter causal transformer includes a roughly 1.8B-parameter ViT-G/14 perception encoder, accepts interleaved text and images, produces text, and supports a 131,072-token context window. It combines controllable multi-step reasoning, schema-based tool use, coding, failure recovery, and compatibility with agent scaffolds such as OpenClaw and Hermes Agent. Meta also releases 4-bit variants sized for 24 GB and 32 GB systems and a DFlash speculative-decoding drafter. The model is trained on more than 100 languages and released under Apache 2.0.

Fecha de lanzamiento
2026-08-10
Parámetros
29.6B
Longitud del contexto
131K
Modalidades
image, text

Radar de capacidades

60
general
60
coding
50
reasoning
51
scienceest.
50
agents
70
multimodal

Science se estima a partir de las puntuaciones científicas de LLM Stats o del razonamiento cuando no hay benchmarks científicos dedicados.

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica132
33.0
LS
Ranking multimodal52
45.0
LS

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

Siren AgentDojo Utility94.2%Aut.
MCP Atlas75.5%Aut.
DeepSearchQA74.6%Aut.
OSWorld-Verified65.9%Aut.
CI Memories Coverage64.8%Aut.
Terminal-Bench 2.151.7%Aut.
SWE-Bench ProPrinceton NLP (2024)51.2%Aut.
WildClawBench47.6%Aut.
SkillsBench44.3%Aut.
GAIA243.3%Aut.
Siren AgentDojo Attack Success Rate28.4%Aut.
CI Memories Violation Rate26.4%Aut.
Tau3 Banking23.5%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)83.5%Aut.
SciCode43.6%Aut.

Code

SWE-Bench Verified76.0%Aut.

General

IFBench77.0%Aut.
MMMU-Pro74.0%Aut.

Grounding

ScreenSpot Pro75.4%Aut.

Long Context

AA-LCR80.0%Aut.
Beam 128K65.1%Aut.

Math

AIME 202694.7%Aut.
Humanity's Last Exam22.0%Aut.

Multimodal

CharXiv-R78.8%Aut.
OmniDocBench 1.575.8%Aut.

Índices de evaluación AA

(Artificial Analysis)

No hay datos de evaluación AA disponibles

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Long Context
80
Spatial Reasoning
80
Structured Output
80
Instruction Following
80
Frontend Development
80
Grounding
80
Multimodal
70
Search
70
Vision
70
Physics
60
Reasoning
60
General
60
Biology
60
Chemistry
60
Code
60
Math
50
Agents
50
Coding
50
Tool Calling
50

Precios

Precio de entrada$0.35 / 1M tokens
Precio de salida$1.5 / 1M tokens
Precio mixto (3:1)$0.6375 / 1M tokens
Precio de lectura caché$0.04 / 1M tokens

Velocidad

No hay datos de velocidad disponibles

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

5 proveedores

Más barato: Kilo GatewayMás caro: Vercel AI Gateway
ProveedorEntradaSalida
1Kilo GatewayMás barato
$0.3
$1.2
2MetaPRINCIPAL
$0.35
$1.5
3NanoGPT
$0.35
$1.5
4OpenRouter
$0.35
$1.5
5Vercel AI Gateway
$0.35
$1.5

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis