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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.

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The KeyNews take

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 know
  1. GLM-5.3-Flash: 320B parameters

  2. Only 3 points behind GLM-5.3 on Artificial Analysis Intelligence Index

  3. 1/7th the inference cost of GLM-5.3

  4. All inference ran on Chinese AI chips, not Nvidia

  5. 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…
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