# LM Studio adds GLM-5.3-Flash to Bionic, with image support and 1M-token context

> Source: <https://9to5mac.com/2026/08/26/lm-studio-adds-glm-5-3-flash-to-bionic-with-image-support-and-1m-token-context/>
> Published: 2026-08-27 00:10:19+00:00

LM Studio has added Z.ai’s new GLM-5.3-Flash model to Bionic, its AI agent platform, bringing multimodal input, a 1 million-token context window, and significantly lower pricing than GLM-5.2. Here are the details.

## LM Studio moves fast to add GLM-5.3-Flash to Bionic

Since its [original announcement](https://9to5mac.com/2026/07/16/lm-studio-expands-beyond-chat-with-bionic-a-new-ai-agent-app-for-open-models/) in mid-July, LM Studio has been steadily expanding the models and capabilities available in Bionic, its Mac and Windows platform for agentic tasks such as coding, research, and working with documents and files.

LM Studio Bionic can use either locally run models or cloud models hosted on US-based servers, with the latter covered by a strict zero-data-retention policy.

Shortly after launching LM Studio Bionic, the company [added support for Moonshot AI’s Kimi K3](https://9to5mac.com/2026/07/27/lm-studio-bionic-adds-support-for-moonshot-ais-kimi-k3-model/). Today, the company rolled out cloud support for Z.ai’s new GLM-5.3-Flash model, which LM Studio says is up to 10 times cheaper to run than GLM-5.2.

LM Studio’s announcement came just hours after the official unveiling of GLM-5.3-Flash, which had already generated plenty of buzz while being anonymously tested on OpenCode and OpenRouter under the codename “Ox Alpha.”

GLM-5.3-Flash is a 320-billion Mixture-of-Experts model with 18 billion active parameters, supports image and text inputs, and has a 1-million-token context window.

It scores ahead of GLM-5.2 across the benchmarks highlighted by Z.ai, while generally falling within the same range as frontier models from Anthropic, OpenAI, Google, and DeepSeek.

To learn more about how you can use GLM-5.3-Flash on LM Studio Bionic, [follow this link](https://lmstudio.ai//bionic).

Do you run local models on your Mac? Let us know in the comments.

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