InclusionAI: Ling 3.0 Flash VL
inclusionai/ling-3.0-flash-vl:free
Access Ling 3.0 Flash VL from InclusionAI using the Puter.js AI API for free.
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-vl: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-vl:free"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Ling 3.0 Flash VL is InclusionAI's (Ant Group) native multimodal vision-language version of Ling 3.0 Flash, adding image and video understanding to the base model's text and reasoning capabilities. It keeps the same Mixture-of-Experts architecture, with 124B total parameters and about 5.5B active per token, and adds VideoRoPE for temporal video understanding. It supports a 262,144-token context window and both instant and reasoning modes.
InclusionAI reports the model spans visual comprehension, reasoning with visual evidence, and interface interaction, covering tasks like object counting, chart and document reading, and interface understanding for task automation. On the Artificial Analysis Intelligence Index (v4.1.1), it scores 42, four points above Ling 3.0 Flash's 38.
It supports function calling for agentic workflows that combine visual input with tool use, such as GUI automation or document-analysis agents. This free-tier listing is offered through OpenRouter.
Context Window 262K
tokens
Max Output 33K
tokens
Input Cost $0
per million tokens
Output Cost $0
per million tokens
Input text, image, video
modalities
Tool Use Yes
Release Date Sep 10, 2026
Model Playground
Try Ling 3.0 Flash VL instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From InclusionAI
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Ling 3.0 Flash Sante
Ling 3.0 Flash Sante is InclusionAI's (Ant Group) health and medicine fine-tune of Ling 3.0 Flash. It keeps the base model's hybrid Mixture-of-Experts architecture, pairing Kimi Delta Attention with Multi-Head Latent Attention, with 124B total parameters and about 5.1B active per token, and a 262,144-token context window. The fine-tune targets medical knowledge reasoning, clinical safety, and evidence-based retrieval, along with long-horizon medical workflows such as multi-step clinical question answering. It retains the base model's general reasoning, coding, and agentic capabilities, and supports function calling for tool-based workflows. InclusionAI has not published domain-specific benchmark scores for this fine-tune. It suits developers building clinical decision-support tools, medical literature search, or other health-focused assistants; outputs should still be reviewed by qualified professionals rather than used as medical advice.
ChatLing 3.0 Flash Fin
Ling 3.0 Flash Fin is InclusionAI's (Ant Group) finance-domain fine-tune of Ling 3.0 Flash, developed with financial institutions and domain experts. It keeps the base model's Mixture-of-Experts architecture, 124B total parameters with about 5.1B active per token, and a 262,144-token context window. The model is built for real-world investment workflows, including source-grounded financial search, multi-document reasoning across regulatory filings and earnings reports, valuation modeling, and spreadsheet operations. It handles multi-step financial tasks and long-horizon planning while retaining the base model's general coding, math, and reasoning ability. InclusionAI evaluated it on finance-specific benchmarks including FinFIRST, FinCRAFT, and SpreadsheetBench, reporting it competitive with similarly sized and larger general-purpose models on tool-intensive financial tasks. It supports function calling for agent-style workflows that call external data or calculation tools. It suits developers building investment research assistants, financial document analysis tools, or other finance-specific agents. InclusionAI notes that outputs require professional review and are not investment advice.
ChatLing 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.
Frequently Asked Questions
You can access Ling 3.0 Flash VL 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.
Integrating Ling 3.0 Flash VL through the Puter.js AI API is free under the User-Pays Model. Each user pays for their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0 |
| Output | $0 |
Ling 3.0 Flash VL was created by InclusionAI and released on Sep 10, 2026.
Ling 3.0 Flash VL supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
Ling 3.0 Flash VL can generate up to 33K tokens in a single response.
Ling 3.0 Flash VL accepts the following input types: text, image, video. It produces: text.
Yes, Ling 3.0 Flash VL 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 VL 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.
Add Ling 3.0 Flash VL to your app for free
Developers can integrate Ling 3.0 Flash VL for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.