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:
- Visit the API Console to generate your unique API Token.
- Follow our Getting Started Guide to configure your environment variables.
Text Conversation
We recommend using Ling-2.6-1T, Ling-2.6-flash, Ling-2.5-1T and Ring-2.5-1T 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 Name | Context Window | Description |
|---|---|---|
| Ling-2.6-1T | 256K | Delivers the full chain from logical reasoning to task execution with minimal compute overhead (1/4 token cost). |
| Ling-2.6-flash | 256K | Excels at code completion and problem fixing, fast document processing, and lightweight Agent interaction scenarios. |
| Ling-2.5-1T | 128K | High-throughput decoding and leading ultra-long context processing capability. |
| Ling-1T | 128K | The first flagship non-reasoning model in the Ling series, with trillion-parameter scale. |
| Ring-2.5-1T | 128K | Compared to the Ring-1T version, achieves significant improvements in key dimensions such as generation efficiency, reasoning depth, and long-cycle task execution capability. |
| Ring-1T | 128K | Trained with RLVR based on the icepop method, with outstanding natural language reasoning capability, achieving SOTA results on AIME 25, CodeForces, HMMT25, LiveCodeBench, ARC-AGI-v1, and ranking first among open-source models on multiple metrics. |
View Details
Call Ant Ling models via OpenAI SDK.
OpenAI Compatible API (Recommended)Call Ant Ling models via Anthropic SDK.
Anthropic Compatible APIWas this page helpful?
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