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Muse Spark

MetaProprietary

Description

Muse Spark is the first model in the Muse family developed by Meta Superintelligence Labs. It is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. It features a Contemplating mode that orchestrates multiple agents reasoning in parallel. It demonstrates competitive performance in multimodal perception, reasoning, health, and agentic tasks, with Contemplating mode achieving 58% on Humanity's Last Exam and 38% on FrontierScience Research.

Date de sortie
2026-04-08
Paramètres
—
Longueur du contexte
—
Modalités
—

Radar de capacités

44
general
58
coding
88
reasoning
66
science
80
agents
70
multimodal

Classements

Domaine#RangScoreSource
Capacité agentique128
34.0
LS
Classement codage67
78.0
AA
Classement général42
81.0
AA
Classement multimodal8
65.0
LS
Science39
84.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

DeepSearchQA74.8%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)59.0%Aut.
SWE-Bench ProPrinceton NLP (2024)52.4%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)89.5%Aut.

Code

LiveCodeBench Pro0.80 / 3000Aut.
SWE-Bench Verified77.4%Aut.

Communication

Tau2 Telecom91.5%Aut.

General

MMMU-Pro80.4%Aut.
SimpleVQA0.71 / 100Aut.

Grounding

ScreenSpot Pro84.1%Aut.

Healthcare

MedXpertQA78.4%Aut.
HealthBench Hard42.8%Aut.

Math

Humanity's Last Exam58.4%Aut.

Multimodal

CharXiv-R86.4%Aut.
ZEROBench0.33 / 100Aut.

Physics

IPhO 202582.6%Aut.

Reasoning

ERQA64.7%Aut.
ARC-AGI v242.5%Aut.
FrontierScience Research38.3%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Coding Index(Artificial Analysis)
58.6
Intelligence Index(Artificial Analysis)
44.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.9
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Lcr(Artificial Analysis)
0.8
Ifbench(Google Research (2023))
0.8
Terminalbench V2 1
0.6
Scicode(UIUC + Argonne National Lab (2024))
0.5
Terminalbench Hard(Stanford × Laude Institute (2026))
0.5
Hle(Center for AI Safety + Scale AI (2025))
0.4

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Physics
90
Biology
90
Chemistry
90
Communication
90
Frontend Development
80
Grounding
80
Tool Calling
80
Multimodal
70
Reasoning
70
Search
70
Image To Text
70
General
70
Code
70
Vision
70
Math
60
Spatial Reasoning
60
Healthcare
60
Agents
60
Science
40

Tarification

Prix d'entréeGratuit
Prix de sortieGratuit
Prix mixte (3:1)Gratuit

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Aucune donnée de fournisseur disponible

Sources externes

LLM StatsArtificial Analysis