Use Meta Models in Big-AGI.
Muse Spark on your own key: a million-token context, reasoning effort from minimal to xhigh, web search and Muse Image - with the Contributor models that train on your prompts hidden until you opt in.
All supported Meta models
Muse Spark 1.3
NEWMeta's latest frontier reasoning model, tuned for agentic workflows (multi-step tool, browser and long-horizon tasks) with improved coding over 1.2. Text, imag…
1M
$1.25
$4.25
Sep 2026
Muse Spark 1.3 (Contributor)
NEWMuse Spark 1.3 on the Contributor tier: ~12x cheaper input and ~21x cheaper output, in exchange for Meta training on your prompts and completions. Lower rate l…
1M
$0.10
$0.20
Sep 2026
Muse Spark 1.2
NEWPrevious Muse Spark version, and the Spark to use for audio input (1.3 audio understanding is degraded). Text, image, video, audio and PDF input. 1M context.
1M
$1.25
$4.25
Aug 2026
Muse Spark 1.2 (Contributor)
NEWMuse Spark 1.2 on the Contributor tier: ~12x cheaper input and ~21x cheaper output, in exchange for Meta training on your prompts and completions. Lower rate l…
1M
$0.10
$0.20
Aug 2026
Muse Spark 1.1
The original Muse Spark (July 2026), Meta's first frontier reasoning model on the Meta Model API. Text, image, video, audio and PDF input. 1M context.
1M
$1.25
$4.25
Jul 2026
Muse Image 1.0
Meta's image generation model: generates and edits images from text and reference images, with built-in web and image search. Flat $0.01 per generated image. N…
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Jul 2026
Muse Spark 1.3
NEWMeta's latest frontier reasoning model, tuned for agentic workflows (multi-step tool, browser and long-horizon tasks) with improved coding over 1.2. Text, imag…
Muse Spark 1.3 (Contributor)
NEWMuse Spark 1.3 on the Contributor tier: ~12x cheaper input and ~21x cheaper output, in exchange for Meta training on your prompts and completions. Lower rate l…
Muse Spark 1.2
NEWPrevious Muse Spark version, and the Spark to use for audio input (1.3 audio understanding is degraded). Text, image, video, audio and PDF input. 1M context.
Muse Spark 1.2 (Contributor)
NEWMuse Spark 1.2 on the Contributor tier: ~12x cheaper input and ~21x cheaper output, in exchange for Meta training on your prompts and completions. Lower rate l…
Muse Spark 1.1
The original Muse Spark (July 2026), Meta's first frontier reasoning model on the Meta Model API. Text, image, video, audio and PDF input. 1M context.
Muse Image 1.0
Meta's image generation model: generates and edits images from text and reference images, with built-in web and image search. Flat $0.01 per generated image. N…
Get started in 3 steps
1
Create an API key at the Meta console.
2
Paste it into Big-AGI's model settings.
3
Start chatting, or Beam it against other models and fuse the answers.
Meta Model API in Big-AGI
Add your Meta Model API key and use the Muse models at Meta's own rates: Big-AGI adds no markup, and Meta bills you directly. Every Muse Spark version is served on two tiers. Standard does not use your prompts for training; Contributor is cheaper in exchange for Meta training on your prompts and completions. Big-AGI hides the Contributor models until you unhide them.
- Reasoning, always on. Muse Spark reasons before every answer. The effort control runs from minimal to xhigh, set per request; the default is Meta's, high.
- Web search and images. Web search is a per-model switch, billed by Meta per search. Muse Image generates and edits images from text and reference images, at a flat per-image price.
- Direct Connection. Meta's API accepts browser-direct requests, so the toggle is available under Advanced once your key is in the browser.
Your key and your data
Your key stays in your browser and is sent only with your requests. Chats are stored on your device first and sync only if you turn sync on. The AI Inspector shows every request, the token counts and the cost estimate, including the reasoning tokens Muse Spark spends before answering.
Meta in Beam
Beam runs Muse Spark next to Claude, GPT, Gemini and anything else you connected, in parallel, then fuses the answers. Parallel runs use more tokens than a single chat, and Muse Spark's reasoning tokens count too.
Meta questions
FAQ
What is the difference between Muse Spark Standard and Contributor?
They are the same model. Standard does not use your prompts and completions for training and costs $1.25 per million input tokens and $4.25 per million output tokens as of September 2, 2026. Contributor costs $0.10 and $0.20 in exchange for Meta training future models on your prompts and completions, with lower rate limits. Big-AGI hides the Contributor models until you unhide them in the model list.
Why does my Meta Model API key return Unauthorized?
Meta returns the same Unauthorized error for a wrong key, a revoked key, and a missing key. Recreate the key at dev.meta.ai/api-keys and paste it into the Meta Model API Key field; keys start with LLM_ and are shown once at creation.
Why does Muse Spark pause before answering?
Muse Spark reasons before every reply, and Meta's default reasoning effort is high. In our September 2, 2026 check a two-word reply spent about 340 reasoning tokens and 9 seconds, with the first token after 2.2 seconds. Lower the Reasoning Effort control - minimal to xhigh, there is no off - to trade depth for speed.
Can Big-AGI generate images with Muse Image?
Yes. Muse Image 1.0 appears in the model list next to Muse Spark and generates or edits images from text and reference images, at a flat $0.01 per image billed by Meta. It returns one WebP image per request and runs without streaming.
Bring your Meta key. Keep control.
Your key, your data, your choice of model. Big-AGI's Open branch is open source and self-hostable, so you can check exactly how Meta is called.
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