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LLMS • CURATED • UPDATED AUG 4, 2026

Muse Spark 1.1

Meta's closed-weight agentic model, and its first paid model API

Muse Spark 1.1 is Meta Superintelligence Labs' multimodal reasoning model, released 9 July 2026. It has a 1M-token context window, accepts text, images, video and PDFs, and is built for agentic work: tool use, computer use, coding, and multi-agent orchestration. It is free to use in the Meta AI app and at meta.ai in Thinking mode, and available to developers through the new Meta Model API at $1.25 per million input tokens and $4.25 per million output, with $20 in starting credits. Unlike the Llama family it succeeds in practice, Muse Spark is closed-weight.

QUICK FACTS

Pricing Freemium
Platforms web, api, ios, android
API Yes
Open Source No
Modalities LLMs, Multimodal Reasoning
Best For Best Value for Agentic Multimodal Work
Date Added 2026-08-04

QUICK TIPS

1 Evaluate on meta.ai before paying, the consumer surface uses the same model
2 Send PDFs and video natively rather than pre-extracting text, that is the differentiator
3 Price it against GLM-5.2 and Gemini 3.6 Flash, which sit within a point of it on the index
4 Treat Meta's internal coding benchmark claims as unverified, they were not published with numbers
5 Remember it is a public preview API, so expect interface changes

SIMILAR TOOLS

Claude Opus 4.6 NotebookLM Grok DeepSeek Llama

USE CASE EXAMPLES

Document And Video Intake

Process mixed media submissions without building a preprocessing pipeline.

STEPS:
  1. Send PDFs and video clips directly in the request
  2. Ask for structured JSON output rather than prose
  3. Validate the structure before it reaches downstream systems
  4. Spot-check extracted figures against the source document
  5. Measure cost per document against your current pipeline
  6. Keep a text-only fallback for pure-text submissions

Screenshot To Working Interface

Turn a design screenshot into code using the model's visual-to-code strength.

STEPS:
  1. Upload the screenshot with the target framework named explicitly
  2. Ask for a component tree before any code
  3. Request the code once the structure looks right
  4. Render it and send a screenshot of the result back for comparison
  5. Iterate on the visual diff rather than describing changes in words
  6. Review the output for accessibility before shipping

PRICING

Freemium Free tier available

Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.

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FEATURED IN GUIDES

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EXPLORE ALTERNATIVES

View Muse Spark 1.1 Alternatives (2026) →

Compare Muse Spark 1.1 with 5+ similar llms AI tools.

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FREQUENTLY ASKED QUESTIONS

Q

Is Muse Spark 1.1 free?

A

Muse Spark 1.1 offers a free tier with optional paid upgrades.

Q

Does Muse Spark 1.1 have an API?

A

Yes, Muse Spark 1.1 offers an API for programmatic integration.

Q

What is Muse Spark 1.1 best for?

A

Muse Spark 1.1 is best for Best Value for Agentic Multimodal Work.

Q

What platforms does Muse Spark 1.1 support?

A

Muse Spark 1.1 supports web, api, ios, android.

Q

Is Muse Spark 1.1 open source?

A

No, Muse Spark 1.1 is not open source.

Q

What can I do with Muse Spark 1.1?

A

Muse Spark 1.1 is designed for Agentic workflows with tool and computer use, Cheap multimodal reasoning at volume, Video and PDF input without preprocessing. Muse Spark 1. Key strengths include $1.25 per million input tokens, well under comparable frontier models and 1M-token context with video and PDF input.

Q

How do I use Muse Spark 1.1?

A

Muse Spark 1.1 is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses. It excels at $1.25 per million input tokens, well under comparable frontier models.

Q

How do I get started with Muse Spark 1.1?

A

Try it free first in the Meta AI app or at meta.ai with Thinking mode on, which costs nothing and tells you whether it handles your kind of task. If it does, sign up for the Meta Model API preview and spend the $20 of starting credits on a realistic ...

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