LLMS • CURATED • UPDATED AUG 4, 2026

Muse Spark 1.1

Meta's closed-weight agentic model, and its first paid model API
Price
Freemium
API
Yes
Weights
No

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.

This is the release where Meta stopped giving models away. Muse Spark is closed, metered and sold through Meta's own API, and it lands at rank 15 on the independent index while undercutting comparable models on price. Worth tracking for that reason alone if your stack assumed Meta meant open weights.

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
  • ✓$1.25 per million input tokens, well under comparable frontier models
  • ✓1M-token context with video and PDF input
  • ✓Rank 15 on the Artificial Analysis Intelligence Index at 50.6
  • ✓Free consumer access at meta.ai for evaluation before you pay anything
  • ✓Built specifically for tool use and computer use rather than adapted to it
  • ⚠Closed weights, a break from the open Llama family it effectively replaces
  • ⚠The Meta Model API is a public preview, so pricing and interfaces can still move
  • ⚠Meta published comparison charts but not benchmark numbers, so its coding claims are unverified
  • ⚠Text output only despite accepting four input types
  • ⚠Consumer access runs through Meta accounts, which is a data consideration for some teams

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 workload rather than toy prompts. Send video and PDFs directly instead of converting them, since native handling is the main reason to choose this over a cheaper text-only model.

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

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
Freemium Free tier available

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

View Muse Spark 1.1 Alternatives (2026) →

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

❓
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. Muse Spark 1. This is the release where Meta stopped giving models away. Muse Spark is closed, metered and sold through Meta's own API, and it lands at rank 15 on the independent index while undercutting comparable models on price. Worth tracking for that reason alone if your stack assumed Meta meant open weights.

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

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 workload rather than toy prompts. Send video and P...

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.

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