Meta Model API

What is Meta Model API?

Meta Model API is a self-serve developer API for Meta's Muse family of models. Text models Muse Wonder and Muse Spark handle agentic work, coding, reasoning, tool calling, structured output and search grounding with text, image, video, audio and PDF input and a context window of about one million tokens. Other endpoints cover Muse Image for image generation and editing, Muse Voice Transcribe for speech to text, and Segment Anything Model (SAM) 3.1 for image and video segmentation. You create an API key, point an OpenAI SDK compatible client at it, and call the Responses, Chat Completions or Messages endpoints. Billing is pay-as-you-go with no minimums: Muse Spark costs $1.25 per 1M input tokens and $4.25 per 1M output tokens, Muse Image is $0.01 per image, and a discounted Contributor mode trades lower prices for permission to train on your content. Meta also offers Muse Code for terminal coding.

Use cases

• Build agents that call tools in parallel
• Generate and review code across repositories
• Ground answers with live web search
• Generate images through an API
• Transcribe audio to text
• Segment objects in images and video
• Prototype cheaply in Contributor mode

Who it's for

• Developers
• AI engineers
• Startups building agents
• Research teams

Why use Meta Model API

• Billing is per use with no minimums or upfront commitment, so small experiments stay cheap.
• Existing OpenAI SDK code can be pointed at the API, which shortens migration.
• There is no long-context premium, so full-context requests cost the same per token.
• One account covers text, image, speech and segmentation models.
• Standard mode does not use your content to train Meta models, and Contributor mode is optional.

Meta Model API features

• Muse Wonder and Muse Spark models with a 1M-token context window
• Input of text, images, video, audio and PDFs
• Responses, Chat Completions and Messages API endpoints
• Reasoning effort levels, tool calling and structured output
• Web search grounding at $2.50 per 1,000 queries
• Prompt caching with a lower cached-input rate
• Muse Image generation at a flat $0.01 per image
• Muse Voice Transcribe for streaming and file speech to text
• Segment Anything Model 3.1 for image and video segmentation
• Standard and Contributor modes with different data-use terms

Meta Model API integrations

• OpenAI SDK
• OpenRouter
• Muse Code

How to get started with Meta Model API

1. Sign in at dev.meta.ai and generate an API key.
2. Point an OpenAI SDK compatible client at the Meta Model API base URL.
3. Choose a model such as muse-spark-1.3 or muse-wonder-1.0 and call the Responses or Chat Completions endpoint.
4. Add tools, web search grounding or structured output as needed and watch usage in the response.
5. Monitor rate-limit headers and retry 429 responses with exponential backoff.

Meta Model API limitations

• Muse Wonder is in preview and is not available in South Korea
• Contributor mode lets Meta train on your prompts, code and responses
• Contributor-mode Muse Spark variants have lower limits of 150 requests per minute
• Audio understanding in Muse Spark 1.3 may be degraded, so use 1.2 or Muse Voice Transcribe
• Model availability can vary by country

Meta Model API pricing

Meta Model API has no free plan.

Meta Model API plans

• Muse Spark

  $1.25 input /$4.25 output per 1M tokens

  pay-as-you-go

  • Cached input $0.15 per 1M tokens
  • Contributor mode $0.10 input, $0.20 output

• Muse Wonder

  $4.00 input /$20.00 output per 1M tokens

  pay-as-you-go

  • Cached input $0.20 per 1M tokens
  • Standard mode only on Model API

• Muse Image

  $0.01 per image

  pay-as-you-go

  • Built-in web and image search included

• Muse Voice Transcribe

  $0.18 per hour

  pay-as-you-go

  • Streaming and non-streaming priced the same

• Segment Anything Model 3.1

  $2.50 per 1,000 images

  pay-as-you-go

  • Video at $0.20 per 1,000 frames

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Meta Model API alternatives

The main Meta Model API alternatives listed on Debuly are OpenAI API, Gemini API, Mistral AI, Cohere, Together AI and DeepInfra. The table compares pricing and platforms; order is A–Z.

1. 

   Cohere

   Enterprise AI company offering Command, Embed and Rerank models by API, the North agent platform and private deployments.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit Cohere (official site)
2. 

   DeepInfra

   AI inference cloud with an OpenAI-compatible API for 100+ open models, plus private GPU deployments, GPU rental and hosted agents.

   Developer platformsCodingAutomation and agents
   PaidVisit DeepInfra (official site)
3. 

   Gemini API

   Google's developer API for calling Gemini models from your own apps, with a free tier, pay-as-you-go pricing and Google AI Studio.

   Developer platformsCodingAutomation and agents
   FreemiumVisit Gemini API (official site)
4. 

   Mistral AI

   AI company offering open-weight models, the Vibe assistant, Studio and an API, with a free plan and paid tiers.

   Developer platformsChat assistantsCoding
   FreemiumVisit Mistral AI (official site)
5. 

   OpenAI API

   Developer API for OpenAI's GPT models, image generation, realtime voice and transcription, priced per million tokens with batch and flex options.

   Developer platformsCodingAudio and voice
   PaidVisit OpenAI API (official site)
6. 

   Together AI

   AI cloud for running open-source models through serverless and batch inference, dedicated endpoints, GPU clusters and fine-tuning.

   Developer platformsCoding
   PaidVisit Together AI (official site)

Meta Model API FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from dev.meta.ai · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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