InclusionAI: Ling 3.1 Flash
inclusionai/ling-3.1-flash
Try Ling 3.1 Flash for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "inclusionai/ling-3.1-flash"
}).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-3.1-flash"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Ling 3.1 Flash is a Mixture-of-Experts language model from InclusionAI (Ant Group), announced on September 30, 2026 as the next fast-tier model after Ling 3.0 Flash. It has 560 billion total parameters with about 25 billion active per token.
InclusionAI positions it for agent tasks, search, office software, and specialist applications. It is designed for a context window of up to one million tokens, while the current free trial is limited to 256,000 tokens. The API accepts reasoning, tool-related, and sampling parameters such as temperature and seed.
At the time of the announcement, the benchmark figures came only from Ant Group, and no independent evaluations had been published, so this entry lists no scores. InclusionAI has said it plans to enable the full context window and release the model as open source after the trial. It suits developers who want to test a large, low-cost model for agent and long-document workloads.
Context Window 262K
tokens
Max Output 33K
tokens
Input Cost $0
per million tokens
Output Cost $0
per million tokens
Release Date Oct 2, 2026
Output Speed 216
tokens / sec
Latency 1.00s
time to first token
Try Ling 3.1 Flash for free
Try Ling 3.1 Flash instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Ling 3.1 Flash performs on standard evaluations.
| Benchmark | Score |
|---|---|
| Humanity's Last Exam Cross-domain reasoning | 39.4% |
| SciCode Scientific programming | 54.1% |
| LCR Long-context reasoning | 83.0% |
Scores sourced from Artificial Analysis.
Find other InclusionAI models →
Ling 3.0 Flash VL
Ling 3.0 Flash VL is InclusionAI's (Ant Group) native multimodal vision-language model, sharing Ling 3.0 Flash's Mixture-of-Experts architecture with 124B total parameters and about 5.5B active per token. It adds image and video understanding through a hybrid backbone mixing Kimi Delta Attention and gated multi-head latent attention layers, plus a VideoRoPE position encoding for tracking motion across video frames. InclusionAI reports the model routes visual input through the same reasoning and self-verification pipeline used for text, spanning object counting, chart and document reading, multi-step reasoning with visual evidence, and interface understanding for task automation. It scores 42 on the Artificial Analysis Intelligence Index (v4.1.1), four points above Ling 3.0 Flash's 38. This paid tier is served at a 131,072-token context (versus 262,144 on the free tier) and supports function calling, useful for agentic workflows like GUI automation or document-analysis agents that combine visual input with tool use.
ChatLing 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.
Frequently Asked Questions
You can access Ling 3.1 Flash 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.
Ling 3.1 Flash is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Ling 3.1 Flash is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0 |
| Output | $0 |
Ling 3.1 Flash was created by InclusionAI and released on Oct 2, 2026.
Ling 3.1 Flash supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
Ling 3.1 Flash can generate up to 33K tokens in a single response.
Ling 3.1 Flash scores 41.1 on the Artificial Analysis Intelligence Index, outperforming 92% of tracked models.
Yes — the Ling 3.1 Flash 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 3.1 Flash to your app for free
Developers can integrate Ling 3.1 Flash for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.