InclusionAI: Ling 3.0 Flash Fin
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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.
Context Window 262K
tokens
Max Output 33K
tokens
Input Cost $0.04
per million tokens
Output Cost $0.12
per million tokens
Tool Use Yes
Release Date Aug 27, 2026
Output Speed 281
tokens / sec
Latency 1.17s
time to first token
Code Example
Add AI to your app with the Puter.js AI API, no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
More AI Models From InclusionAI
Find other InclusionAI models →
Ling 3.1 Flash
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.
ChatLing 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
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
Ling 3.0 Flash Fin is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $0.04 |
| Output | $0.12 |
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.
Ling 3.0 Flash Fin scores 22.6 on the Artificial Analysis Intelligence Index, outperforming 71% of tracked models. On coding, it scores 55.6 (outperforms 62% of models).
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.
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