Muse Spark 1.1

Muse Spark 1.3

meta

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through conflicting inputs, and request clarification or confirmation when needed, with an emphasis on concise execution.

Context

1.0M

Max output

943.7K

Released

2026-09-02

Input

$1.25/M

Output

$4.25/M

Cache read

$0.15/M

Muse Spark 1.2

meta

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window. The model is built to support multi-agent workflows, whether as either a main agent that plans and delegates or as a subagent executing in parallel. It works across multiple coding harnesses and supports structured output, parallel function calling, and configurable reasoning effort. In Meta’s testing, it performs well on multi-file refactors, extended debugging sessions, whole-repository generation, and tasks that stretch well past a single prompt.

Context

1.0M

Max output

943.7K

Released

2026-08-05

Input

$1.25/M

Output

$4.25/M

Cache read

$0.15/M

Muse Glimmer 30B

meta

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon agentic and coding workflows, with multi-step reasoning, reliable tool use, failure recovery, image understanding, and multilingual support across more than 100 languages.

Context

131K

Max output

16.4K

Released

2026-08-09

Input

$0.3/M

Output

$1.2/M

Cache read

$0.04/M