Muse Spark 1.3
Meta's most capable Muse model, built for long-horizon agentic work — it collaborates, asks before consequential actions, and holds complex instructions across multi-step tasks
Muse Spark 1.3
Meta • September 2026
Training Data
Not disclosed
Muse Spark 1.3
September 2026
Parameters
Not disclosed
Training Method
Not disclosed
Context Window
1,000,000 tokens
Knowledge Cutoff
Not disclosed
Key Features
1M Token Context • Max Reasoning Mode • Asks Before Acting • Contributor Pricing Tier
Capabilities
Coding: Outstanding (75.4 DeepSWE v1.1)
Long Context: Outstanding (98.1 MRCR at 512K–1M)
Agentic: Outstanding
What's New in This Version
Uses roughly 20% fewer tool calls and 25% fewer tokens than Muse Spark 1.2, with cleaner code and more reliable instruction following; same $1.25/$4.25 per 1M tokens, or $0.10/$0.20 on the contributor tier that lets Meta train on your data
Meta's most capable Muse model, built for long-horizon agentic work — it collaborates, asks before consequential actions, and holds complex instructions across multi-step tasks
What's New in This Version
Uses roughly 20% fewer tool calls and 25% fewer tokens than Muse Spark 1.2, with cleaner code and more reliable instruction following; same $1.25/$4.25 per 1M tokens, or $0.10/$0.20 on the contributor tier that lets Meta train on your data
Technical Specifications
Key Features
Capabilities
Other Meta Models
Explore more models from Meta
Muse Spark 1.2
Coding-focused update to Muse Spark 1.1, released alongside Muse Code, Meta's terminal coding agent
Muse Glimmer
Meta's return to open weights — a 30B dense multimodal agent model under Apache 2.0, distilled from Muse Spark to run always-on local agents on a single consumer GPU
Muse Spark 1.1
Meta Superintelligence Labs' strongest model for agentic and coding work — the first Muse model developers can build on, via the new Meta Model API