Z.ai’s small multimodal GLM 5.3, and its high-speed FlashX variant. Both carry a window of over 1M tokens.
Paste a server URL, pick a model, and watch it call your tools in a real conversation. No install.
No server of your own? Leave it blank and use one of the public mock servers.
In your browser
MCP Agent Studio
Server has a public URL? Chat with GLM 5.3 Flash on it, watch every tool call, and compare models side by side.
Open MCP Agent Studio →On your computer
MCP Playground Desktop
Server runs on localhost or over stdio? The browser can’t reach it. The desktop app can, with GLM 5.3 Flash in Agent Studio. Download free
MCP Evals
Can GLM 5.3 Flash actually complete tasks with your server?
One chat shows the tool calls work. An eval writes real tasks from your tool schemas, has GLM 5.3 Flash drive each one, and reports where it got the wrong answer even though every call succeeded. Pick GLM 5.3 Flash as the driver.
GLM 5.3 Flash is the efficient tier of Z.ai’s GLM 5.3 generation, released on OpenRouter on 26 August 2026, eight days after the full GLM 5.3. It takes text, image and video input and uses the same hybrid sparse-and-linear attention design as the larger model, which is how a Flash-class model carries a 1.31M-token window. FlashX followed on 18 September: the same model served for throughput, up to 200 tokens/s by Z.ai’s figure, with a smaller 1M window.
These are the vendor’s own claims, not measurements of ours. Run the model against your own server to find out whether they hold for your tools.
Run the complex-schema mock on Flash, then the same prompt on FlashX. If process_order gets different arguments on the two, check whether your client asks for parallel calls or structured output. That is the parameter gap, not a model difference. All the mock servers →
| Model | Model ID |
|---|---|
| GLM 5.3 Flash | z-ai/glm-5.3-flash |
| GLM 5.3 FlashX | z-ai/glm-5.3-flashx |