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Meta: Muse Spark 1.1

meta/muse-spark-1.1

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Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context window.

The model is designed to orchestrate multi-agent workflows, acting as either a main agent that plans and delegates or as a subagent, and generalizes zero-shot to new tools, MCP servers, and custom skills. It supports structured output, parallel function calling, built-in search with citations, and configurable reasoning effort. Meta reports strong performance on real-world coding across large codebases, computer-use workflows, and visual-to-code generation.

Modalities

In / Out Price

$1.25 / $4.25per 1M

Context

1M

Released

Jul 16, 2026

Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQ

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

About Meta: Muse Spark 1.1

OpenRouter makes Meta: Muse Spark 1.1 available through a unified, OpenAI-compatible API using the model ID meta/muse-spark-1.1. It is served by Meta.

Meta: Muse Spark 1.1 accepts text, images, video, files such as PDFs and audio and returns text. It has a 1,048,576-token context window.

On OpenRouter, Meta: Muse Spark 1.1 costs $1.25/M input tokens and $4.25/M output tokens, with separate rates for Cache Read at $0.15/M tokens and Web Search at $2.50/1K calls. Effective pricing can be lower when prompt caching applies. It was released on July 16, 2026.

More models from Meta

  • Muse Glimmer 30B
  • Muse Spark 1.2

Frequently asked questions

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context window. The model is designed to orchestrate multi-agent workflows, acting as either a main agent that plans and delegates or as a subagent, and generalizes zero-shot to new tools, MCP servers, and custom skills.

Muse Spark 1.1 costs $1.25/M input tokens and $4.25/M output tokens, with separate rates for Cache Read at $0.15/M tokens and Web Search at $2.50/1K calls.

Muse Spark 1.1 has a 1,048,576 token context window.

Yes. Muse Spark 1.1 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Muse Spark 1.1 accepts text, images, video, files such as PDFs and audio as input and returns text.

Muse Glimmer 30B and Muse Spark 1.2 are other text models from Meta.

Muse Spark 1.1 was released on July 16, 2026.

$1.25$4.25$0.151.63s167 tps
100.00%

Throughput

167tok/s

P50, best across providers

Latency

1.63s

P50, best provider

Uptime (3d)

100.00%

Availability (3d)

99.93%

Availability over the last 3 days

Last 72 hours
Availability 99.93%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.93%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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