Meta AI

What if your AI could understand images, videos, and PDFs, then act on them?

RecommendedMeta AI's Muse Spark offers powerful, multimodal capabilities with an exceptionally large context window, making it a strong contender for sophisticated agentic and coding AI development.

Meta AI offers Muse Spark, a multimodal model designed for complex agentic and coding tasks. It supports multi-step tool loops, software engineering assistance, and long-context reasoning, providing agent-ready primitives without extensive setup.

Visit Meta AI
Screenshot of Meta AIVisit Meta AI
Key Features:
  • Muse Spark multimodal model (text, image, video, audio, PDF input, text output)
  • 1,048,576-token context window
  • Tool calling and search grounding capabilities
  • Structured output with JSON schema validation
  • Compatibility with OpenAI and Anthropic SDKs
Pros
  • Developers building complex AI agents and coding assistants
  • Engineers needing long-context reasoning for software development
  • Teams requiring multimodal input processing (text, image, video, PDF) for AI applications
Cons
  • Contributor tier allows data usage for model training
  • Recursive JSON schemas are not supported for structured output
  • Rate limits apply per team, not per API key
Pricing
paid
Starting at:From $0.10 per 1M input tokens (Contributor tier)
Plans
  • Standard: Input $1.25/1M tokens, Output $4.25/1M tokens
  • Contributor: Input $0.10/1M tokens, Output $0.20/1M tokens
Categories:
AI InfrastructureCode & DevelopmentChatbots & Assistants
Tags:
multimodallarge language modelLLMagentic AIcoding assistantAPItool callingstructured outputimage understandingvideo understandinglong context
Share:
Quick Decision
Try if: You are a developer or organization looking to build advanced AI agents, coding assistants, or applications requiring extensive context understanding and multimodal input processing. The large context window and agent-ready primitives are particularly beneficial for complex, multi-step workflows.
Skip if: You need a simple, off-the-shelf AI solution without API integration, or if you are highly sensitive about your data being used for model training (unless you opt for the Standard tier).
Not for: Users seeking a simple, no-code AI chatbot for basic queries; Individuals with limited technical expertise in API integration
Trust Signals

  • Team Size

    large
Tech Details
Platforms
apicli
Integrations
OpenAI SDKAnthropic SDKOpenCodeCodexClaude CodeLangChainLlamaIndexVercel AI SDK

  • AI Model

    Muse Spark
Open Source
No
Support
Channels
help centersupport contact
Company

  • Name

    Meta

  • Location

    Menlo Park, CA

Meta Platforms, Inc., commonly known as Meta, is an American multinational technology conglomerate based in Menlo Park, California. The company is the parent organization of Facebook, Instagram, and WhatsApp, among other products and services.

FAQ

What is Meta Model API?

Meta Model API serves Muse Spark, Meta's model for agentic and coding workflows. It provides agent-ready primitives like parallel tool calls, streamed tool-call arguments, and long-context reasoning.

What models are available through Meta Model API?

The Meta Model API offers the Muse Spark family of models, including `muse-spark-1.1`, `muse-spark-1.2` (Standard tier), and `muse-spark-1.2-contributor` (Contributor tier). All are multimodal and have a 1,048,576-token context window.

How does the Contributor tier work?

The Contributor tier offers heavily discounted pricing for models like `muse-spark-1.2-contributor`. In exchange for this discount, your prompts and completions may be used to train future Meta models. This tier is ideal for prototyping and testing where data usage for training is acceptable.

Can I use my existing coding agent with Meta Model API?

Yes, Meta Model API is designed to be compatible with existing coding agents that use OpenAI or Anthropic SDKs. You can connect your agent by setting the client's base URL and adding your API key.

What are the pricing details for Meta Model API?

Pricing is pay-as-you-go, billed per token. The Standard tier costs $1.25 per 1M input tokens and $4.25 per 1M output tokens. The Contributor tier is significantly cheaper at $0.10 per 1M input tokens and $0.20 per 1M output tokens. Web search grounding costs an additional $2.50 per 1,000 search queries.

Use Cases
  • Developers building complex AI agents and coding assistants
  • Engineers needing long-context reasoning for software development
  • Teams requiring multimodal input processing (text, image, video, PDF) for AI applications
AILookup

Research utility for AI tools. Compare reviewed profiles, distinguish listed tools from reviewed coverage, and track tool changes without marketing fluff.

Browse:HomeToolsCategoriesNewsLLM Pricing

© 2026 AILookup. All rights reserved.