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Muse Spark 1.3 (max)

MetaProprietary

描述

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. ZeroEval routes to the lower-cost contributor endpoint, where prompts and outputs may be used to improve Meta's products.

发布日期
2026-09-02
参数规模
上下文长度
1.0M
支持模态
audio, image, pdf, text, video

能力雷达图

59
general
73
coding
94
reasoning
72
science
70
agents
70
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜1
72.0
LS
代码能力榜9
94.0
AA
通用能力榜6
94.0
AA
多模态榜40
58.0
LS
科学能力9
91.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Code

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

General

GDPval-AA1754.00 / 3000自报

Long Context

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

Multimodal

OSWorld 2.066.9%自报

Reasoning

Terminal-Bench 2.188.8%自报

Search

DeepSearchQA89.4%自报

AA 评测指数

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
93.8
Terminalbench V2 1
85.8
Lcr(Artificial Analysis)
79.0
Coding Index(Artificial Analysis)
76.3
Intelligence Index(Artificial Analysis)
62.1
Scicode(UIUC + Argonne National Lab (2024))
57.3
Tau Banking
52.4
Hle(Center for AI Safety + Scale AI (2025))
49.1

LLM Stats 分类评分

(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

定价

输入价格免费
输出价格免费
混合价格(3:1)免费
缓存读取价格$0.15 / 1M tokens

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

2 个供应商

最便宜: Meta Model API最贵: EmpirioLabs AI
供应商输入输出
1Meta Model API最便宜
$0
$0
2EmpirioLabs AI
$1.25
$4.25

比较该模型在不同 API 供应商之间的定价。

外部链接