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AITier

Muse Spark

MetaProprietary

विवरण

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.

रिलीज़ तिथि
2026-04-08
पैरामीटर
—
संदर्भ लंबाई
—
मोडैलिटीज़
—

क्षमता रडार

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

रैंकिंग

डोमेन#रैंकस्कोरस्रोत
एजेंटिक क्षमता128
34.0
LS
कोडिंग रैंकिंग67
78.0
AA
सामान्य रैंकिंग42
81.0
AA
मल्टीमॉडल रैंकिंग8
65.0
LS
विज्ञान39
84.0
AA

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

GPQANYU + Cohere + Anthropic (2023)89.5%स्वयं

Code

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

Communication

Tau2 Telecom91.5%स्वयं

General

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

Grounding

ScreenSpot Pro84.1%स्वयं

Healthcare

MedXpertQA78.4%स्वयं
HealthBench Hard42.8%स्वयं

Math

Humanity's Last Exam58.4%स्वयं

Multimodal

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

Physics

IPhO 202582.6%स्वयं

Reasoning

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

AA मूल्यांकन सूचकांक

(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

LLM Stats श्रेणी स्कोर

(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

मूल्य निर्धारण

इनपुट मूल्यमुफ्त
आउटपुट मूल्यमुफ्त
मिश्रित मूल्य (3:1)मुफ्त

गति

टोकन/सेकंड0.0
पहले टोकन में देरी0.00s
पहले उत्तर में देरी0.00s

प्रदाता मूल्य रैंकिंग

कोई प्रदाता डेटा उपलब्ध नहीं

बाहरी लिंक

LLM StatsArtificial Analysis