A discussion of OpenAI's new GPT-5.3-Codex-Spark model and the hardware it runs on - Cerebras Wafer Scale Engine. Also the announcement of GLM5 and how it will likely soon run on the same hardware.

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Code to the Moon

Z.ai released GLM5 and OpenAI announced GPT-5.3-Codex-Spark, both new coding models with mid-tier accuracy but significantly faster inference speeds. GLM5 performs similarly to Claude Opus 4.5 and GPT-5.2, while Codex-Spark matches GPT-5.1-Codex-mini accuracy at 5x speed. The speed improvements come from OpenAI's partnership with Cerebras, whose wafer-scale engine hardware delivers 500 tokens/second. Cerebras maintains a significant performance advantage over Nvidia GPUs, though competitors like Groq and Nvidia's Blackwell are catching up. For many developers, the 3x speed improvement outweighs slightly lower accuracy since faster iteration enables better prompt refinement.

NEW Coding Models - OpenAI GPT-5.3-Codex-Spark + Z.ai GLM 5