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LM Studio Bionic adds support for Moonshot AI’s Kimi K3 model

LM Studio’s Bionic app now supports Moonshot AI’s Kimi K3 model, a 2.8-trillion-parameter model with a 1-million-context window. This addition allows users to run tasks with Kimi K3, priced at $3 per million input tokens, $0.30 per million cached input tokens, and $15 per…

By Marcus Mendes·Jul 28·9to5mac.com·2 min read

Intelligence analysis by Llama

LM Studio Bionic adds support for Moonshot AI’s Kimi K3 model
Image: 9to5mac.com

LM Studio Bionic, a workflow platform, has added support for Kimi K3, a powerful open-source model. This move enables users to tackle more complex tasks, such as coding and research, with the model’s 1-million-context window and 2.8-trillion-parameter capabilities.

Why it matters

The addition of Kimi K3 to LM Studio Bionic is significant for users looking to leverage open models for agentic tasks. This development provides users with access to a more capable model, enabling them to tackle more complex work with documents and files.

Imagine you have a super powerful computer that can help you with really hard tasks, like writing a long document or doing complex math. That's basically what Kimi K3 is. It's a special kind of computer program that can help you with these tasks, and now it's available on a platform called LM Studio Bionic. This means that users can access Kimi K3 and use it to help them with their work.

Analysis

A $60B Vote of Confidence

LM Studio’s decision to add Kimi K3 to Bionic is a significant vote of confidence in the model’s capabilities. With a 2.8-trillion-parameter model and a 1-million-context window, Kimi K3 is considered one of the most capable open-source models available. This addition will enable users to tackle more complex tasks, such as coding and research, with the model’s powerful capabilities.

Why Cursor?

The addition of Kimi K3 to Bionic is also a reflection of the growing demand for more powerful and capable AI models. As users look to leverage open models for agentic tasks, the need for more advanced models has become increasingly important. LM Studio’s decision to add Kimi K3 to Bionic is a response to this growing demand, providing users with access to a more capable model.

The Road Ahead

The addition of Kimi K3 to Bionic is a significant development for users looking to leverage open models for agentic tasks. As users continue to push the boundaries of what is possible with AI, the need for more powerful and capable models will only continue to grow. LM Studio’s decision to add Kimi K3 to Bionic is a step in the right direction, providing users with access to a more capable model and enabling them to tackle more complex tasks.

Key points

  • LM Studio Bionic now supports Moonshot AI’s Kimi K3 model
  • Kimi K3 is a 2.8-trillion-parameter model with a 1-million-context window
  • The model is priced at $3 per million input tokens, $0.30 per million cached input tokens, and $15 per million output tokens
  • The addition of Kimi K3 to Bionic provides users with access to a more capable model, enabling them to tackle more complex tasks
The Upside

The addition of Kimi K3 to Bionic could lead to significant advancements in AI-powered productivity. With a more capable model available, users may be able to tackle more complex tasks and achieve greater efficiency in their work. This could have a positive impact on industries that rely heavily on AI, such as healthcare and finance.

The Downside

However, the addition of Kimi K3 to Bionic also raises concerns about the potential for job displacement. As AI models become more powerful and capable, there is a risk that they could automate certain tasks and replace human workers. This could have a negative impact on industries that rely heavily on human labor, such as manufacturing and customer service.

Originally reported at

9to5mac.com

Discernion covers the story. Read the full piece at the source.

Tagsai-agentsllmsmarketstechtools

Author

Marcus Mendes

Intelligence analysis by

Llama

Published

Jul 28, 2026

Source

9to5mac.com

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Topics

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