Best Artificial Intelligence (AI) APIs for Llama 4 Behemoth

Find and compare the best Artificial Intelligence (AI) APIs for Llama 4 Behemoth in 2026

Use the comparison tool below to compare the top Artificial Intelligence (AI) APIs for Llama 4 Behemoth on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    CometAPI Reviews
    CometAPI provides a consolidated solution for developers by offering access to 500+ AI models via one simple API. It supports various AI services, including text generation, image creation, and advanced models like GPT-4 and Midjourney, enabling users to easily integrate multiple capabilities into their applications. With a focus on cost efficiency, the platform offers discounts on popular models and provides flexible choices, ensuring businesses can select the best model for their needs. CometAPI's serverless architecture ensures smooth, high-performance operations with ultra-low latency, and its single-bill system simplifies financial management.
  • 2
    Meta Model API Reviews

    Meta Model API

    Meta

    $1.25 per 1M tokens
    The Meta Model API is an innovative developer interface designed for utilizing Muse Spark 1.1, Meta's advanced multimodal reasoning model tailored for agentic tasks such as coding, tool utilization, and comprehensive computer interactions. Currently available in public preview, this API enables developers to seamlessly integrate Muse Spark 1.1 via an OpenAI-compatible package, simplifying the transition for existing clients while maintaining the same code framework and allowing for easy configuration to the muse-spark-1.1 model. This model excels in personal agentic functions, facilitating planning and coordination across various external applications and services, while also adapting to new native tools, MCP servers, and bespoke skills. Functioning as a primary agent, it can collect contextual information, devise plans, and oversee execution across multiple subagents; conversely, as a subagent, it adheres to its designated role, comprehends available tools, and recognizes when to escalate issues. Additionally, the model is capable of managing a context window of 1 million tokens, allowing it to remember past actions, retrieve information from significantly earlier tasks, and effectively condense context for optimal performance. With these capabilities, the Meta Model API represents a significant advancement in the development of intelligent, responsive applications.
  • Previous
  • You're on page 1
  • Next
Auth0 Logo