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Unsloth AI compared one-shot outputs from three models

Brief

Unsloth AI ran a head-to-head one-shot output comparison of 1-bit GLM-5.2 GGUF, Claude 4.8 Opus, and GPT-5.5. The post highlights that the 1-bit GLM-5.2 was executed locally on a Mac Studio M3 Ultra with 256 GB RAM at ~21.6 tok/s and links the GGUF model on Hugging Face for readers to try.

Why it matters

Unsloth AI compared one-shot outputs from three models: 1-bit GLM-5.2 GGUF, Claude 4.8 Opus, and GPT-5.5.

Key details

  • The 1-bit GLM-5.2 GGUF was run locally on a Mac Studio M3 Ultra with 256 GB RAM, achieving about 21.6 tokens/sec; the GGUF weight is hosted at huggingface.co/unsloth/GLM-5…
Source evidence

1-bit GLM-5.2 still rocks! WOW!

Unsloth AI (@UnslothAI)

1-bit GLM-5.2 GGUF vs. Claude 4.8 Opus vs. GPT-5.5

We gave 3 models the same prompt and compared one-shot outputs.

The 1-bit GLM-5.2 GGUF ran locally on a Mac Studio M3 Ultra with 256GB RAM at ~21.6 tok/s.

Which output do you like best?
GGUF: huggingface.co/unsloth/GLM-5…

Video

— https://nitter.net/UnslothAI/status/2069418532375564484#m