meta
Muse Spark 1.1
Muse Spark 1.1 is strongest at agentic performance, tool use, and computer use. It does well on long-running tasks with 1M token context window, can delegate execution to sub-agents running in parallel, and is trained to use computer interfaces on desktop, mobile, or browser.
const response = await fetch('https://api.minirouter.sh/v1/chat/completions', { method: 'POST', headers: { Authorization: `Bearer ${process.env.MINIROUTER_KEY}`, 'Content-Type': 'application/json', }, body: JSON.stringify({ model: 'meta/muse-spark-1.1', messages: [{ role: 'user', content: 'Why is the sky blue?' }], }),}) const data = await response.json()console.log(data.choices[0].message.content)Overview
Live catalog values only. MiniRouter does not publish latency or throughput here until those measurements are connected to the public feed.
- Model type
- language
- Context window
- 1,048,576
- Maximum output
- 1,048,576
- Input / 1M tokens
- $1.3125
- Output / 1M tokens
- $4.4625
- Released
- 2026-07-09
Prices include the MiniRouter fee. Compatibility snapshot: 2026-08-06. Input: text, image, pdf. Output: text.
Endpoints
/v1/chat/completions/v1/messages/v1/responsesPlatform-funded routing only. Caller BYOK credentials and OIDC-based upstream authentication are intentionally excluded; authenticate with a MiniRouter bearer key.
Captured parameters: max_tokens, temperature, stop, tools, tool_choice, reasoning, include_reasoning.
API
Use the setup panel above to switch between Chat Completions, Messages, and supported client configuration drafts. Every snippet keeps the model ID unchanged.
https://api.minirouter.sh/v1meta/muse-spark-1.1Providers
MiniRouter selects from the configured routes below. Priority is the catalog order, not a latency or availability score.
| Provider | Priority | Input / 1M | Output / 1M | Parameters | Access |
|---|---|---|---|---|---|
vercel | 1 | $1.3125 | $4.4625 | max_tokens, temperature, stop, tools, tool_choice, reasoning, include_reasoning | MiniRouter balance |