readygpu

GLM 5.3 Flash

321.3B total, 25.4B active · 1024k context · mit · released 2026-08-26

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What to run it on in Germany

Fully in memory at 8k 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 M3 Ultra 512GBQ8_0fits12 tok/s––
NVIDIA DGX Spark 128GBUD-Q2_K_XLfits12 tok/s––
Mac Studio M3 Ultra 256GBUD-Q4_K_XLfits20 tok/s––
ASUS Ascent GX10 128GBUD-Q2_K_XLfits12 tok/s––
NVIDIA RTX PRO 6000 BlackwellUD-Q2_K_XLoffload33 tok/s––

35 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
UD-Q4_K_XLgguf186.0 GB187.0 GB187.4 GB187.9 GB188.9 GB
UD-Q2_K_XLgguf101.3 GB102.2 GB102.6 GB103.1 GB104.2 GB
UD-Q3_K_XLgguf137.4 GB138.4 GB138.8 GB139.3 GB140.4 GB
mlx-4bitmlx190.0 GB190.9 GB191.3 GB191.9 GB192.9 GB
UD-Q5_K_XLgguf223.8 GB224.8 GB225.2 GB225.7 GB226.8 GB
UD-Q6_K_XLgguf271.8 GB272.8 GB273.2 GB273.7 GB274.7 GB
Q8_0gguf317.6 GB318.5 GB318.9 GB319.5 GB320.5 GB

Run it

Copy a command for the runtime you use.

  • UD-Q4_K_XL
    • Ollamaollama run hf.co/unsloth/GLM-5.3-Flash-GGUF:UD-Q4_K_XL
    • LM Studiolms get unsloth/GLM-5.3-Flash-GGUF@ud-q4_k_xl
    • llama.cppllama-server -hf unsloth/GLM-5.3-Flash-GGUF:UD-Q4_K_XL
  • UD-Q2_K_XL
    • Ollamaollama run hf.co/unsloth/GLM-5.3-Flash-GGUF:UD-Q2_K_XL
    • LM Studiolms get unsloth/GLM-5.3-Flash-GGUF@ud-q2_k_xl
    • llama.cppllama-server -hf unsloth/GLM-5.3-Flash-GGUF:UD-Q2_K_XL
  • UD-Q3_K_XL
    • Ollamaollama run hf.co/unsloth/GLM-5.3-Flash-GGUF:UD-Q3_K_XL
    • LM Studiolms get unsloth/GLM-5.3-Flash-GGUF@ud-q3_k_xl
    • llama.cppllama-server -hf unsloth/GLM-5.3-Flash-GGUF:UD-Q3_K_XL
  • mlx-4bit
    • LM Studiolms get mlx-community/GLM-5.3-Flash-4bit
    • MLXmlx_lm.server --model mlx-community/GLM-5.3-Flash-4bit
  • UD-Q5_K_XL
    • Ollamaollama run hf.co/unsloth/GLM-5.3-Flash-GGUF:UD-Q5_K_XL
    • LM Studiolms get unsloth/GLM-5.3-Flash-GGUF@ud-q5_k_xl
    • llama.cppllama-server -hf unsloth/GLM-5.3-Flash-GGUF:UD-Q5_K_XL
  • UD-Q6_K_XL
    • Ollamaollama run hf.co/unsloth/GLM-5.3-Flash-GGUF:UD-Q6_K_XL
    • LM Studiolms get unsloth/GLM-5.3-Flash-GGUF@ud-q6_k_xl
    • llama.cppllama-server -hf unsloth/GLM-5.3-Flash-GGUF:UD-Q6_K_XL
  • Q8_0
    • Ollamaollama run hf.co/unsloth/GLM-5.3-Flash-GGUF:Q8_0
    • LM Studiolms get unsloth/GLM-5.3-Flash-GGUF@q8_0
    • llama.cppllama-server -hf unsloth/GLM-5.3-Flash-GGUF:Q8_0

Notes

Estimates are approximate. Sparse or compressed attention: KV read per token is estimated as full attention. glm5_next_text layout is new; verify against measured results.