LLM Reference
OpenRouter

Using Muse Spark 1.1 on OpenRouter

Implementation guide · Muse · AI at Meta

Serverless

OpenRouter exposes Muse Spark 1.1 through model ID meta/muse-spark-1.1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-09. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call meta/muse-spark-1.1 — see the documentation for request format.
  3. 3
    You'll be billed $1.25/1M input, $4.25/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$1.25
Output tokens$4.25

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured Outputs

About Muse Spark 1.1

Muse Spark 1.1 is Meta Superintelligence Labs' multimodal reasoning model for agentic tasks, coding, computer use, tool use, and multimodal understanding. It supports a 1 million token context window, tool/function calling, structured outputs, web-search grounding, parallel subagent workflows, and multimodal inputs including images, video, and PDFs. It is available in Meta AI Thinking mode and through the public-preview Meta Model API for US developers.

Model Specs

Released2026-07-09
Context1m
ArchitectureDecoder Only

Provider

OpenRouter
OpenRouter

OpenRouter, Inc.

New York, NY, USA