Muse Spark 1.2 · orcarouter

Muse Spark 1.2 is Meta's reasoning model for complex agentic tasks, and the current checkpoint of the Muse Spark family. Meta describes it as an updated checkpoint over Muse Spark 1.1 with slightly higher performance, served on the same Standard tier at identical pricing — a drop-in upgrade rather than a new tier. It accepts an unusually broad input surface — text, images, video, audio, and PDF documents — and returns text, reasoning natively across modalities within a 1M-token context window. It supports configurable reasoning effort, native tool calling, and structured outputs, making it well suited for multimodal agents, deep research over mixed media, and long-context analysis. Muse Spark 1.2 targets workloads that combine documents, screenshots, recordings, and video with text — from analyzing long reports and media libraries to driving multi-step agentic pipelines that must reason over more than just text. Meta also ships muse-spark-1.2-contributor, the same checkpoint on its Contributor tier.

Base model All models on this base All models of the provider to the provider

Input, $/1M $1.25

Output, $/1M $4.25

Cache read $0.15

Cache write —

Context 1 048 576

Max output 131 072

Accepts application/pdf, audio/mpeg, audio/wav, image/gif, image/jpeg, image/png, image/webp, text, video/mp4

Last checked 04.11.2026 12:26:37 UTC

Source provider's page

Price alerts

API

OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.

API base URL	`https://api.orcarouter.ai/v1`
Endpoint	`https://api.orcarouter.ai/v1/chat/completions`
Model id	`meta/muse-spark-1.2`

curl

curl https://api.orcarouter.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "meta/muse-spark-1.2", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'

Python

import requests

r = requests.post(
    "https://api.orcarouter.ai/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "meta/muse-spark-1.2",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ],
      "max_tokens": 256
    },
)
print(r.json())

JavaScript

const r = await fetch("https://api.orcarouter.ai/v1/chat/completions", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "meta/muse-spark-1.2",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());

Request (JSON)

{
  "model": "meta/muse-spark-1.2",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}

Response (JSON)

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "meta/muse-spark-1.2",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hi! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}

The address is taken from the provider's model list; check it against the provider's documentation.

Provider's API documentation

Source: AI Rate Card, https://airatecard.com/en/c/offer%3Aorcarouter%7Cmeta/muse-spark-1.2, prices checked 2026-11-04; seller's page: https://orcarouter.ai/models/meta/muse-spark-1.2

Technical details

ID: offer:orcarouter|meta/muse-spark-1.2