InclusionAI API
Access InclusionAI instantly with Puter.js, and add AI to any app in a few lines of code without backend or API keys.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain AI like I'm five!", {
model: "inclusionai/ling-2.6-flash"
}).then(response => {
console.log(response);
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain AI like I'm five!", {
model: "inclusionai/ling-2.6-flash"
}).then(response => {
console.log(response);
});
</script>
</body>
</html>
List of InclusionAI Models
Ring 2.6 1T
inclusionai/ring-2.6-1t:free
Ring 2.6 1T is a trillion-parameter reasoning model from InclusionAI (Ant Group), using a Mixture-of-Experts architecture with 63B active parameters per token. It is purpose-built for agentic workflows — coding agents, tool use, and long-horizon multi-step task execution. The model features adaptive reasoning effort via "high" and "xhigh" modes, dynamically allocating thinking budget based on task complexity to balance performance against token cost. It supports a 262K context window with up to 66K output tokens. Ring 2.6 1T scores 95.83 on AIME 2026 and 88.27 on GPQA Diamond. In its agent mode, it achieves 87.60 on PinchBench, surpassing GPT-5.4 and Gemini 3.1 Pro on that benchmark. It also posts leading results on ClawEval, TAU2-Bench, and GAIA2-search. A strong pick for developers building autonomous agent systems, complex reasoning pipelines, or coding workflows where execution reliability and token efficiency both matter.
ChatLing 2.6 1T
inclusionai/ling-2.6-1t
Ling 2.6 1T is InclusionAI's trillion-parameter flagship non-reasoning model, built by Ant Group's AGI initiative. It uses a Mixture-of-Experts architecture with approximately 50 billion active parameters per token, employing a "fast thinking" approach that reduces token costs to roughly a quarter of comparable models while maintaining top-tier output quality. The model targets advanced coding, complex reasoning, and large-scale agent workflows. It achieves state-of-the-art results on benchmarks like AIME 2025 and SWE-bench Verified, and ranks first among open-source models on ArtifactsBench for front-end code generation. On the Artificial Analysis Intelligence Index, it scores 34 — far above the median of 13 for comparable open-weight non-reasoning models. With a 262K context window and strong tool-use capabilities out of the box, Ling 2.6 1T is a strong fit for developers building autonomous agents or cost-sensitive pipelines that need flagship-level reasoning without a dedicated thinking model.
ChatLing 2.6 Flash
inclusionai/ling-2.6-flash
Ling 2.6 Flash is a high-efficiency open-weights instruct model from InclusionAI (Ant Group), featuring 104B total parameters with only 7.4B active via a Mixture-of-Experts architecture. It supports a 262K-token context window and is purpose-built for agentic workflows, coding, and document processing. The model scores 26 on the Artificial Analysis Intelligence Index — nearly double the median of 13 among comparable open-weight non-reasoning models, and a 10-point jump over its predecessor Ling-flash-2.0. It also achieves 59.3% on GPQA Diamond. Trained with Agentic Reinforcement Learning, Ling 2.6 Flash is optimized for tool use, terminal operations, and multi-step agent tasks while keeping token consumption notably low. A strong choice for developers building cost-sensitive agent pipelines or high-throughput automation that still demands capable reasoning and code generation.
Frequently Asked Questions
The InclusionAI API gives you access to models for AI chat. Through Puter.js, you can start using InclusionAI models instantly with zero setup or configuration.
Puter.js supports a variety of InclusionAI models, including Ring 2.6 1T, Ling 2.6 1T, and Ling 2.6 Flash. Find all AI models supported by Puter.js in the AI model list.
With the User-Pays model, users cover their own AI costs through their Puter account. This means you can build apps without worrying about infrastructure expenses.
Puter.js is a JavaScript library that provides access to AI, storage, and other cloud services directly from a single API. It handles authentication, infrastructure, and scaling so you can focus on building your app.
Yes — the InclusionAI API through Puter.js works with any JavaScript framework, Node.js, or plain HTML. Just include the library and start building. See the documentation for more details.