Built with Muse Spark Open. Meta's open-weights reasoning model for coding and agentic work, released October 15, 2026 under the Muse Model License. A sparse mixture-of-experts model with 816B total and 42B active parameters and a 1M-token context window. It shares the same base model as Muse Spark 1.3, with additional safety post-training so it holds up as a standalone model without system guardrails. Supports tool calling, structured outputs and reasoning. The weights are natively multimodal (image, audio and video input); the current serving lane accepts text and image input.
Context
1.05M
Max output
1.05M
Price per million tokens
$1.25in$0.15cached$4.25out
Waterfall
Quickstart
I want you to route my LLM calls for "muse-spark-open" through the Experiential gateway instead of calling the provider directly. It speaks the OpenAI Chat Completions API, so this is a base-URL and key swap. Please: 1. Point the client at https://api.experientiallabs.ai/v1 as the base URL. 2. Authenticate with my Experiential API key from the EXPLABS_API_KEY environment variable. If it isn't set, stop and tell me to create one under Settings -> API Keys and export it. 3. Use the model id "muse-spark-open" exactly. 4. Update every place my code builds an LLM client for this model to use that base URL and key, leaving streaming and tool-calls as they are. 5. Make one test call and show me the reply plus the token usage, so we confirm it runs on my Experiential credits. Tell me which files you changed.
Sampling
Tools & structure
Streaming
Fastest
114 tok/s
Released
Oct 2026
Limits
Sending an unsupported field? See error referenceFireworks docs