Ling 3.1 Flash API
inclusionai/ling-3.1-flash/chatLing 3.1 Flash is a hybrid-reasoning mixture-of-experts model from inclusionAI, released on 29 September 2026. The publisher describes it as 560B parameters in total with 25B active per token. Here it is one OpenAI-compatible chat endpoint: up to 262,144 tokens of text in, up to 262,144 tokens out, tools and streaming on every request.
Workbench
These examples were written for this endpoint. Replace the prompt and sample media URLs with your own accessible inputs, then check the current quote and model availability before submitting.
- Input types
- Text
- Output types
- Text
- Input
- $0.075 / 1 million tokens
- Cached input
- $0.075 / 1 million tokens
- Output
- $0.225 / 1 million tokens
- Context
- 262,144
- Max output
- 262,144
$0.075/0.225per 1 million tokens · input / output
basic Start with a customer update and ask for the product name, delivery date and the exact phrase supporting each field. This endpoint is text only: include the words from a document rather than attaching a picture of it. Its exposed input limit is 262,144 tokens, even though inclusionAI describes a 1M context for the underlying model.
- 1024
- Input types
- Text
- Output types
- Text
- Input
- $0.075 / 1 million tokens
- Cached input
- $0.075 / 1 million tokens
- Output
- $0.225 / 1 million tokens
- Context
- 262,144
- Max output
- 262,144
$0.075/0.225per 1 million tokens · input / output
tool-step Ask for response_format JSON when a program needs the fields. Validate the values against the original update before using them. Ling can propose parallel tool calls, but your application executes the functions and returns their results; a generated delivery date alone is not a verified shipment status.
- 1024
- auto
This example starts at Input $0.075 / Output $0.225 per 1 million tokens. The Playground updates the estimate when you change the settings.