GLM-5.3-Flash matches top models at a fraction of the cost, and runs without Nvidia
320B parameters. 1/7th the cost. Zero Nvidia. Zhipu's GLM-5.3-Flash just proved silicon diversity works.

Why it matters
A major open-weight model release that matches frontier performance at dramatically lower cost while running on non-Nvidia chips challenges both the capability frontier and the compute-economics moat.
The key facts
5 to knowGLM-5.3-Flash: 320B parameters
Only 3 points behind GLM-5.3 on Artificial Analysis Intelligence Index
1/7th the inference cost of GLM-5.3
All inference ran on Chinese AI chips, not Nvidia
Open-source release by Zhipu AI
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: Z.ai releases GLM-5.3-Flash, an open-source model with 320 billion parameters that lands just three points behind the larger GLM-5.3 on Artificial Analysis's Intelligence Index, at a seventh of the cost. What's notable is that all of the inference traffic ran on Chinese AI chips instead of Nvidia…