InclusionAI: Ling 3.0 Flash Fin
inclusionai/ling-3.0-flash-fin:free
Access Ling 3.0 Flash Fin from InclusionAI using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "inclusionai/ling-3.0-flash-fin:free"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "inclusionai/ling-3.0-flash-fin:free"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="inclusionai/ling-3.0-flash-fin:free",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "inclusionai/ling-3.0-flash-fin:free",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI (Ant Group), built on Ling 3.0 Flash with 124 billion total parameters and about 5.1 billion active per token. It carries over the same 262,144-token context window and 32,768-token output limit as its base model.
InclusionAI designed it for real-world investment workflows, including complex multi-step financial tasks and long-horizon planning and execution, while retaining Ling 3.0 Flash's general reasoning, coding, and math capabilities. It supports native function calling through tools and tool_choice, though it does not enforce structured output via response_format.
This is a finance-domain fine-tune rather than a separate architecture, so it should be evaluated against the base Ling 3.0 Flash model for tasks outside finance. Released August 27, 2026 and offered free through OpenRouter, it fits developers building investment research assistants, financial document analysis, or other finance-specific agents evaluating domain fit before a paid deployment.
Context Window 262K
tokens
Max Output 33K
tokens
Input Cost $0
per million tokens
Output Cost $0
per million tokens
Tool Use Yes
Release Date Aug 27, 2026
Model Playground
Try Ling 3.0 Flash Fin instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From InclusionAI
Find other InclusionAI models →
Ling 3.0 Flash
Ling 3.0 Flash is InclusionAI's (Ant Group) successor to Ling 2.6 Flash, a hybrid-reasoning Mixture-of-Experts model with 124B total parameters and about 5.1B active per token. It stacks five Kimi Delta Attention (KDA) layers per one Multi-Head Latent Attention (MLA) layer, combining efficient long-range memory with precise attention, and supports both thinking and non-thinking modes. According to InclusionAI, with roughly 1/8 of the total parameters and 1/12 of the active parameters of its 1T-parameter flagship model, Ling 3.0 Flash matches or beats that flagship on most of the benchmarks the company reported. It natively supports a 262K-token context window, with InclusionAI designing it to scale toward 1M context; the paid tier here is served at 131K context. It targets high-frequency agentic workflows such as coding agents, tool use, document processing, and long multi-turn conversations, where per-token cost and latency matter.
ChatLing 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
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
You can access Ling 3.0 Flash Fin by InclusionAI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Ling 3.0 Flash Fin to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0 |
| Output | $0 |
Ling 3.0 Flash Fin was created by InclusionAI and released on Aug 27, 2026.
Ling 3.0 Flash Fin supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
Ling 3.0 Flash Fin can generate up to 33K tokens in a single response.
Yes, Ling 3.0 Flash Fin supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Ling 3.0 Flash Fin API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add Ling 3.0 Flash Fin to your app without worrying about API keys or setup.
Read the Docs View Tutorials