Skip to content
Meta

Muse Spark 1.1

Muse Spark 1.1 is Meta's multimodal reasoning model for agentic tasks, with a context window of 1.0M tokens and support for text, image, video, PDF, and audio input, available through AI Gateway via Meta. Your use is subject to Meta's Terms & Privacy Policies.

ReasoningTool UseImplicit CachingFile InputVision (Image)
Use with AI GatewayView docs
import { streamText } from 'ai'


const result = streamText({
  model: 'meta/muse-spark-1.1',
  prompt: 'Why is the sky blue?'
})
Read docs
OverviewAPIAboutProvidersThroughputLatencyUptimeStatusSimilarFAQ

Frequently Asked Questions

  • What input types does Muse Spark 1.1 accept?

    Text, image, video, PDF, and audio. All five go into the same request, so a spec document, a screen recording, and a voice note can arrive together without separate extraction steps.

  • What makes Muse Spark 1.1 suited to agentic tasks?

    Muse Spark 1.1 plans and orchestrates work across tools and services rather than answering in one shot. It runs as a main agent that delegates or as a subagent that reports back, and it supports parallel tool calling for independent steps.

  • Does Muse Spark 1.1 need examples to use a new tool?

    No. Muse Spark 1.1 works with new tools, Model Context Protocol (MCP) servers, and custom skills without examples. Describe the interface and Muse Spark 1.1 calls it.

  • Does Muse Spark 1.1 support structured output?

    Yes. Structured output constrains a response to a schema your code parses directly, which keeps downstream stages from scraping prose.

  • How does built-in search work with Muse Spark 1.1?

    Built-in search returns citations alongside its results, so you can check the source behind an answer. Use it for steps that depend on current information.

  • What is the context window for Muse Spark 1.1?

    1.0M tokens, with completions up to 1.0M tokens per request.

  • How do I use Muse Spark 1.1 on AI Gateway?

    Use the identifier meta/muse-spark-1.1 with the AI SDK or any supported interface like Chat Completions, Responses, or Messages. AI Gateway routes across meta and handles failover automatically.

  • Does Muse Spark 1.1 support zero data retention?

    Zero Data Retention is not currently available for this model. Zero Data Retention is offered on a per-provider basis. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.