by MetaReleased Aug 5, 2026
meta/muse-spark-1.2Muse 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....
| Billed for | You pay |
|---|---|
| Input tokens | $1.50 / 1M |
| Output tokens | $5.10 / 1M |
| Cached input, read | $0.18 / 1M |
| Each web search | $0.003 |
import OpenAI from "openai";const ai = new OpenAI({ baseURL: "https://relayfor.si/api/v1", apiKey: process.env.RELAYFOR_ROUTER_KEY,});const reply = await ai.chat.completions.create({ model: "meta/muse-spark-1.2", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});$1.50 per million input tokens and $5.10 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0056.
Make a router key for one of your tokens on the dashboard, point any OpenAI or Anthropic SDK at https://relayfor.si/api/v1 and send the model id meta/muse-spark-1.2. The token's AI credit pays for each call.
Up to 1,048,576 tokens of context, and up to 943,718 tokens in one answer.
No. The RFS Router passes each call through and keeps only its token counts and cost, for the token's usage page.
| Provider | Answered, 24 h |
|---|---|
| Meta | 100% |