MetaMediumUltra

Muse Spark 1.1

Meta's Muse Spark 1.1 served through the OpenRouter aggregator - a multimodal reasoning model built for agentic tasks that accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context. Billed at OpenRouter's actual usage cost.

2,323/7,897credits

input / output · per 1M tokens

1M-token context window

Multimodal input - text, image, video, audio, and file/PDF

Reasoning model built for agentic tasks (reasoning_effort supported)

Requires max_tokens >= 16 (upstream returns 400 below that)

OpenAI-compatible API (chat completions) via /llm/openrouter/v1

Billed at OpenRouter's actual usage.cost - listed rates are estimates

Run it right now

Test this model instantly in the Console Playground — no code required

Use with AI Assistant

Copy usage instructions for Claude, ChatGPT, or other AI

llms.txtllms.txt ↗

Model Specifications

Context Window

1.0M

tokens

Max Output

33K

tokens

Training Cutoff

Not published

Compatible SDK

OpenAI

Capabilities

Vision

Function Calling

Streaming

JSON Mode

System Prompt

Token Pricing (per 1M tokens)

Token Type	Credits	USD Equivalent
Input Tokens	2,323	$1.55
Output Tokens	7,897	$5.26
Cached Tokens	278.7	$0.19

* 1,500 credits ≈ $1 (actual charges may vary based on usage)

Quick Start

curl -X POST "https://api.core.today/llm/openrouter/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "model": "meta/muse-spark-1.1",
  "messages": [
    {
      "role": "user",
      "content": "Summarize the attached report in 5 bullets."
    }
  ],
  "max_tokens": 1024
}'

Parameters

Parameter	Type	Required	Default	Description
`model`	string	Yes	-	Model ID in vendor/model form, e.g. "meta/muse-spark-1.1".
`messages`	array	Yes	-	Chat messages in OpenAI format (system/user/assistant roles).
`temperature`	number	No	0.7	Sampling temperature (0-2).
`max_tokens`	integer	No	2048	Maximum completion tokens.
`stream`	boolean	No	false	Stream the response as server-sent events.

Examples

Chat completion

OpenAI-compatible chat completion request via OpenRouter

curl -X POST "https://api.core.today/llm/openrouter/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "model": "meta/muse-spark-1.1",
  "messages": [
    {
      "role": "user",
      "content": "Summarize the attached report in 5 bullets."
    }
  ],
  "max_tokens": 1024
}'