The company pushed back the release of GLM-5.3-Flash to address a benchmark discrepancy that caused reasoning times to be twice as long on AIME and GPQA tests. An investigation conducted with vLLM and SGLang found that open-source engines produced reasoning that exceeded the length of the Z.ai API, which threatened token efficiency and model quality.

Z.ai issued a rapid API update to standardize reasoning lengths across providers and ensure consistency. Fireworks AI opted for a Day 2 launch rather than a Day 0 release to prevent users from wasting tokens on overthinking behaviors that could have increased operational costs.

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Key sources

  1. SOURCE@vllm_project“We worked alongside @inferact and @FireworksAI_HQ on the investigation”x.com
  2. SUPPORT@sgl_project“Correctness comes first”x.com
  3. SUPPORT@morganlinton“GLM 5.3 Flash can have overthinking issues, but these can be mitigated”x.com
  4. SOURCEhuggingnewshuggingnews.com
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