OpenCode says inclusionAI’s Ling-3.1-flash is now available for free on OpenCode. In a post on X, @opencode describes it as inclusionAI’s latest model and lists 560 billion total parameters, 25 billion active parameters and a 262K context.

The announcement is brief and does not provide enough information to assess the practical terms of using the model or its capabilities.

What OpenCode announced

The post presents Ling-3.1-flash as free on OpenCode and identifies it as an inclusionAI model. It does not provide access instructions, performance results or broader details about the offering.

How to read the listed model figures

Parameters are numerical values learned during training that help a model process and generate text. The announcement gives two parameter counts:

  • 560B total parameters: the model’s listed total parameter count.

  • 25B active parameters: the smaller number the post identifies as active.

These labels show that the announcement distinguishes between the model’s total and active parameters. It does not explain the model architecture or how the active-parameter figure is determined, so the numbers should be treated as reported specifications rather than evidence of performance.

The post lists 262K as the model’s context figure. A context-window figure refers to the amount of information a model is listed as handling within a context, but the source does not clarify whether OpenCode exposes the full figure or applies a separate limit. It is not a tested measure of the model’s practical capacity.

What the announcement does not establish

The supplied announcement does not establish:

  • how to start using Ling-3.1-flash through OpenCode;

  • whether free use has quotas, rate limits or other restrictions;

  • whether the offer is available to all OpenCode users;

  • how the model performs in testing or everyday tasks;

  • which features, modalities or integrations it supports; or

  • whether the availability will continue permanently.

The post does not provide enough information to assess the model’s capabilities or the practical terms of using it.

Sources