Ling 3.0 Flash
Ant Group's AI team released a large chat model designed to run agent-style tasks efficiently, available to developers 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
- Jul 23, 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
- $0.021
- per million tokensCached: $0.0042
- Output
- $0.063
- 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.
- 262K tokens
- about 200,000 words
View moreView less
- Longest answer
- 33K tokens (about 25,000 words)
From OpenRouter, checked .
Compare Ling 3.0 Flash with
It came out 286 days after Ling-1T, the lab's previous model.
The details
Ant Group's inclusionAI released Ling 3.0 Flash, a 120 billion parameters: Needs a server with several high-end chips (GPUs). Parameters are the numbers a model learns: a rough measure of its size. 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. model with about 5.1B parameters active per 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., aimed at efficient Agent: An AI that doesn't just answer but takes steps on its own to finish a task: searching the web, running code or using apps. use at production scale, 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..
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-3.0-flashTimeline
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