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API Reference

API Overview

The Ant Ling API provides a suite of large language models designed for production-grade applications. It supports a spectrum of capabilities including multi-turn conversations, deep logical reasoning (CoT), and full-modal interactions.


Prerequisites

To begin integrating with Ant Ling, ensure you have completed the following steps:

  1. Visit the API Console  to generate your unique API Token.
  2. Follow our Getting Started Guide to configure your environment variables.

Text Conversation

We recommend using Ling-3.2-flash, Ling-3.1-flash, Ling-3.0-flash-VL, Ling-3.0-flash, Ling-3.0-tiny, and AntAngelMed to perform conversation tasks, reasoning, and supports tool calls based on context.

It can be accessed via HTTP requests, OpenAI SDK, or Anthropic SDK.

Model Quick Overview

Model NameContext WindowDescription
Ling-3.2-flash1MLatest-generation native multimodal model supporting image, text, and video input, focusing on complex visual understanding, multimodal long-horizon Agent, 3D understanding & interaction, and medical multimodal.
Ling-3.1-flash1MNew-generation hybrid reasoning model for long-horizon tasks, everyday office work, and complex Agent workflows.
Ling-3.0-flash256KNew-generation cost-effective model for Agent workflows — low cost, fast response, and stable tool calling.

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Image Generation & Editing

The Image API is compatible with the OpenAI Image protocol. It supports text-to-image generation, image editing, and layer decoupling.

Model Quick Overview

Model NameCapabilitiesDescription
Ming-Image-0.1-DesignText-to-image, image editingText-to-image uses images/generations; image editing uses images/edits.
Ming-Image-0.1-Design-LayerLayer decouplingDecouples layer information from input images only via images/edits.

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