Muse Spark Open
Meta
Muse Spark Open is Meta’s open-weight reasoning model for coding and agentic workflows. Its sparse mixture-of-experts architecture has 816 billion total parameters with approximately 42 billion active per token, combining code generation, tool use, and image understanding. A one-million-token context window supports repository analysis, multi-file changes, debugging, and long-running agent tasks. This provider also documents audio and video input with text output.
- Language
- audio input
- Implicit caching
- Reasoning
- Structured output
- Tool use
- Video input
- Vision
- Context
- 1.0M
- Max output
- 1.0M
- Input / 1M
- $1.25
- Output / 1M
- $4.25
Quickstart
Point any OpenAI-compatible client at Maxynetic Systems and pass meta/muse-spark-open as the model.
curl https://api.maxynetic.com/v1/chat/completions \
-H "Authorization: Bearer $MAXYNETIC_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta/muse-spark-open",
"messages": [{ "role": "user", "content": "Explain routing in one line." }]
}'Pricing
Billed per token with no markup on the underlying provider rate.
Input
Per 1M prompt tokens
$1.25
Output
Per 1M completion tokens
$4.25
Cache read
Per 1M cached prompt tokens
$0.150
A 1M-token prompt with 250K tokens of output costs about $2.31.