Ling 3.1 Flash
Ant Group's AI team released Ling 3.1 Flash, a large reasoning model that developers can use through a hosted service.
This came out before trckr began following OpenRouter, so it was added on Nov 6 without an alert. Its release date comes from OpenRouter.
Key facts
- Released
- Oct 2, 2026
- What it does
- Text and chat: Writes, answers questions and holds a conversation.Thinks first: Can reason step by step before it answers: slower, but better at maths, code and tricky questions.
Can I use it?
In an app
No app mentioned so far.
For developers
Developers can use it now through an API: How developers plug a model into their own apps and pay per use. A model that's "in the API" can be used by programmers, even if it isn't in a chat app yet..
Download
Not downloadable: it runs on the maker's own servers.
Price and limits
What developers pay to use it through the API: How developers plug a model into their own apps and pay per use. A model that's "in the API" can be used by programmers, even if it isn't in a chat app yet., per million Tokens: The small chunks of text a model reads and writes, about three-quarters of a word each. Prices and limits are counted in tokens. sent (input) or written back (output), and how much it can take in at once.
- Input
- $0.045
- per million tokensCached: $0.009
- Output
- $0.135
- per million tokens
- Context window: How much a model can keep in mind at once: your question, any files you share and its own replies. Measured in tokens; 1,000 tokens is about 750 words.
- 1M tokens
- about 750,000 words
View moreView less
- Longest answer
- 262K tokens (about 200,000 words)
From OpenRouter, checked .
How it scores
Not in the independent rankings yet. New models usually show up within a few weeks, and this page updates when they do.
Compare Ling 3.1 Flash with
It came out 22 days after Ling 3.0 Flash VL, the lab's previous model.
The details
Ant Group's inclusionAI has released Ling 3.1 Flash, a hybrid Reasoning model: A model that thinks step by step before answering. Slower, but much better at maths, code and tricky questions. with a Mixture of experts (MoE): A design that splits a big model into many "expert" parts and uses only a few for each word. It gives big-model quality at closer to small-model speed. design: 560B total size with 25B active per request, spotted on OpenRouter: A service that gives developers one place to use hundreds of models from many labs. New models often appear there early, sometimes anonymously.. It's a new tier in the Ling family aimed at developers.
Model ID: The exact name developers type to use a model, like gpt-5-mini. New IDs often show up in a lab's systems before the official announcement, which is how trckr spots many releases early.
inclusionai/ling-3.1-flashTimeline
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