readygpu

GLM 4.5 Air

110.5B total, 17B active · 128k context · mit · released 2025-07-20

chatcodingagentic

What to run it on in the US

Fully in memory at 64k context, priced at retailers today.

Something we price holds it fully in memory, but none reaches 15 tok/s, our bar for recommending it. The table below has the speeds.

All hardware that runs it

Everything we price, best value first. Two cards split the model by layers.

HardwareQuantFitsDecodePricetok/s per 1,000
Mac Studio M4 Max 128GBQ5_K_Mfits8 tok/s––
Framework Desktop Ryzen AI Max+ 395 128GBQ5_K_Mfits3 tok/s––
Mac Studio M3 Ultra 512GBQ8_0fits11 tok/s––
NVIDIA DGX Spark 128GBQ6_Kfits4 tok/s––
GMKtec EVO-X2 Ryzen AI Max+ 395 128GBQ5_K_Mfits3 tok/s––
Mac Studio M3 Ultra 256GBQ8_0fits11 tok/s––
Mac Studio M3 Ultra 96GBQ3_K_Mfits15 tok/s––
NVIDIA RTX PRO 6000 BlackwellQ5_K_Mfits26 tok/s––
ASUS Ascent GX10 128GBQ6_Kfits4 tok/s––
NVIDIA GeForce RTX 5090Q2_Koffload4 tok/s––
AMD Radeon AI PRO R9700Q2_Koffload3 tok/s––

29 other cards and machines we price cannot hold it at this context.

Memory needed

Weights, KV cache and runtime buffers at each context length (KV cache at fp16).

QuantFile@8k@32k@64k@128k
Q4_K_Mgguf68.0 GB70.1 GB74.6 GB80.5 GB92.4 GB
Q2_Kgguf42.2 GB44.4 GB48.8 GB54.8 GB66.7 GB
Q3_K_Mgguf53.3 GB55.5 GB59.9 GB65.9 GB77.7 GB
mlx-4bitmlx56.0 GB58.2 GB62.6 GB68.6 GB80.5 GB
Q5_K_Mgguf77.8 GB80.0 GB84.4 GB90.4 GB102.2 GB
Q6_Kgguf92.2 GB94.4 GB98.8 GB104.8 GB116.7 GB
mlx-8bitmlx105.8 GB107.9 GB112.4 GB118.3 GB130.2 GB
Q8_0gguf109.4 GB111.6 GB116.0 GB122.0 GB133.8 GB

Run it

Copy a command for the runtime you use.

  • Q4_K_M
    • Ollamaollama run hf.co/unsloth/GLM-4.5-Air-GGUF:Q4_K_M
    • LM Studiolms get unsloth/GLM-4.5-Air-GGUF@q4_k_m
    • llama.cppllama-server -hf unsloth/GLM-4.5-Air-GGUF:Q4_K_M
  • Q2_K
    • Ollamaollama run hf.co/unsloth/GLM-4.5-Air-GGUF:Q2_K
    • LM Studiolms get unsloth/GLM-4.5-Air-GGUF@q2_k
    • llama.cppllama-server -hf unsloth/GLM-4.5-Air-GGUF:Q2_K
  • Q3_K_M
    • Ollamaollama run hf.co/unsloth/GLM-4.5-Air-GGUF:Q3_K_M
    • LM Studiolms get unsloth/GLM-4.5-Air-GGUF@q3_k_m
    • llama.cppllama-server -hf unsloth/GLM-4.5-Air-GGUF:Q3_K_M
  • mlx-4bit
    • LM Studiolms get mlx-community/GLM-4.5-Air-4bit
    • MLXmlx_lm.server --model mlx-community/GLM-4.5-Air-4bit
  • Q5_K_M
    • Ollamaollama run hf.co/unsloth/GLM-4.5-Air-GGUF:Q5_K_M
    • LM Studiolms get unsloth/GLM-4.5-Air-GGUF@q5_k_m
    • llama.cppllama-server -hf unsloth/GLM-4.5-Air-GGUF:Q5_K_M
  • Q6_K
    • Ollamaollama run hf.co/unsloth/GLM-4.5-Air-GGUF:Q6_K
    • LM Studiolms get unsloth/GLM-4.5-Air-GGUF@q6_k
    • llama.cppllama-server -hf unsloth/GLM-4.5-Air-GGUF:Q6_K
  • mlx-8bit
    • LM Studiolms get mlx-community/GLM-4.5-Air-8bit
    • MLXmlx_lm.server --model mlx-community/GLM-4.5-Air-8bit
  • Q8_0
    • Ollamaollama run hf.co/unsloth/GLM-4.5-Air-GGUF:Q8_0
    • LM Studiolms get unsloth/GLM-4.5-Air-GGUF@q8_0
    • llama.cppllama-server -hf unsloth/GLM-4.5-Air-GGUF:Q8_0