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Muse Spark 1.1

Multimodal
Meta

Muse Spark 1.1 is Meta's first model in the Muse Spark family, designed for agentic and multimodal tasks with a 1M token context window. It leads the MCP Atlas benchmark and ranks highly on OSWorld-Verified and Terminal-Bench 2.1.

Key Specifications

Parameters
-
Context
1.0M
Release Date
July 9, 2026
Average Score
84.3%

Timeline

Key dates in the model's history
Announcement
July 9, 2026
Last Update
August 27, 2026

Technical Specifications

Parameters
-
Training Tokens
-
Knowledge Cutoff
-
Family
-
Capabilities
MultimodalZeroEval

Pricing & Availability

Input (per 1M tokens)
$1.25
Output (per 1M tokens)
$4.25
Max Input Tokens
1.0M
Max Output Tokens
131.1K
Supported Features
Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning

Benchmark Results

Model performance metrics across various tests and benchmarks

Other Tests

Specialized benchmarks
CharXiv-R
1,000 CharXiv validation chart-reasoning questions; gpt-oss-120b high as judge.Self-reported
88.0%
MCP Atlas
Results sourced from Scale AI.Self-reported
88.0%
OSWorld-Verified
361-task split excluding Google Drive tasks; GUI-only agent; one attempt per task.Self-reported
81.0%
Terminal-Bench 2.1
Bash-tool-only harness; pass@1 averaged over 5 attempts on 89 tasks.Self-reported
80.0%

License & Metadata

License
proprietary
Announcement Date
July 9, 2026
Last Updated
August 27, 2026

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