readygpu

Qwen 3.6 27B

27.8B parameters · 256k context · apache-2.0 · released 2026-04-21

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What to run it on in Canada

Fully in memory at 32k 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
NVIDIA GeForce RTX 3090Q5_K_Mfits27 tok/s––
NVIDIA GeForce RTX 5090Q8_0fits36 tok/s––
Mac Studio M4 Max 128GBQ8_0fits12 tok/s––
NVIDIA GeForce RTX 4090Q5_K_Mfits29 tok/s––
Mac mini M4 Pro 64GBQ8_0fits6 tok/s––
AMD Radeon RX 7900 XTXQ5_K_Mfits24 tok/s––
Framework Desktop Ryzen AI Max+ 395 128GBQ8_0fits5 tok/s––
Mac Studio M3 Ultra 512GBQ8_0fits17 tok/s––
NVIDIA DGX Spark 128GBQ8_0fits6 tok/s––
GMKtec EVO-X2 Ryzen AI Max+ 395 128GBQ8_0fits5 tok/s––
Mac Studio M3 Ultra 256GBQ8_0fits17 tok/s––
Mac mini M4 Pro 48GBQ8_0fits6 tok/s––
Mac Studio M4 Max 64GBQ8_0fits12 tok/s––
Mac Studio M3 Ultra 96GBQ8_0fits17 tok/s––
NVIDIA RTX PRO 6000 BlackwellQ8_0fits36 tok/s––
AMD Radeon AI PRO R9700Q8_0fits11 tok/s––
AMD Radeon RX 7900 XTQ4_K_Mfits23 tok/s––
ASUS Ascent GX10 128GBQ8_0fits6 tok/s––
Framework Desktop Ryzen AI Max+ 395 64GBQ8_0fits5 tok/s––
Mac mini M4 32GBQ5_K_Mfits4 tok/s––
NVIDIA GeForce RTX 3090 TiQ5_K_Mfits29 tok/s––
Intel Arc Pro B60Q5_K_Mfits11 tok/s––
NVIDIA Tesla P40Q5_K_Mfits10 tok/s––
NVIDIA GeForce RTX 5070 TiQ4_K_Moffload11 tok/s––
NVIDIA GeForce RTX 5060 Ti 16GBQ4_K_Moffload8 tok/s––
NVIDIA GeForce RTX 3060 12GBQ4_K_Moffload5 tok/s––
AMD Radeon RX 9070 XTQ4_K_Moffload9 tok/s––
NVIDIA GeForce RTX 4060 Ti 16GBQ4_K_Moffload7 tok/s––
NVIDIA GeForce RTX 5080Q4_K_Moffload11 tok/s––
NVIDIA GeForce RTX 4070 Ti SuperQ4_K_Moffload10 tok/s––
NVIDIA GeForce RTX 5070Q4_K_Moffload6 tok/s––
AMD Radeon RX 9060 XT 16GBQ4_K_Moffload6 tok/s––
NVIDIA GeForce RTX 4070 SuperQ4_K_Moffload6 tok/s––
NVIDIA GeForce RTX 4080 SuperQ4_K_Moffload10 tok/s––
AMD Radeon RX 7800 XTQ4_K_Moffload9 tok/s––
Intel Arc B580Q4_K_Moffload5 tok/s––
AMD Radeon RX 7600 XTQ4_K_Moffload6 tok/s––
NVIDIA GeForce RTX 3080 10GBQ4_K_Moffload5 tok/s––
Intel Arc A770 16GBQ4_K_Moffload8 tok/s––

1 other card or machine 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_Mgguf15.7 GB17.0 GB18.7 GB20.9 GB25.3 GB
mlx-4bitmlx15.0 GB16.3 GB18.0 GB20.2 GB24.5 GB
Q5_K_Mgguf18.2 GB19.6 GB21.2 GB23.4 GB27.8 GB
Q6_Kgguf21.0 GB22.4 GB24.0 GB26.2 GB30.6 GB
Q8_0gguf26.6 GB28.0 GB29.7 GB31.8 GB36.2 GB
mlx-8bitmlx27.5 GB28.9 GB30.5 GB32.7 GB37.1 GB

Run it

Copy a command for the runtime you use.

  • Q4_K_M
    • Ollamaollama run hf.co/unsloth/Qwen3.6-27B-GGUF:Q4_K_M
    • LM Studiolms get unsloth/Qwen3.6-27B-GGUF@q4_k_m
    • llama.cppllama-server -hf unsloth/Qwen3.6-27B-GGUF:Q4_K_M
  • mlx-4bit
    • LM Studiolms get mlx-community/Qwen3.6-27B-4bit
    • MLXmlx_lm.server --model mlx-community/Qwen3.6-27B-4bit
  • Q5_K_M
    • Ollamaollama run hf.co/unsloth/Qwen3.6-27B-GGUF:Q5_K_M
    • LM Studiolms get unsloth/Qwen3.6-27B-GGUF@q5_k_m
    • llama.cppllama-server -hf unsloth/Qwen3.6-27B-GGUF:Q5_K_M
  • Q6_K
    • Ollamaollama run hf.co/unsloth/Qwen3.6-27B-GGUF:Q6_K
    • LM Studiolms get unsloth/Qwen3.6-27B-GGUF@q6_k
    • llama.cppllama-server -hf unsloth/Qwen3.6-27B-GGUF:Q6_K
  • Q8_0
    • Ollamaollama run hf.co/unsloth/Qwen3.6-27B-GGUF:Q8_0
    • LM Studiolms get unsloth/Qwen3.6-27B-GGUF@q8_0
    • llama.cppllama-server -hf unsloth/Qwen3.6-27B-GGUF:Q8_0
  • mlx-8bit
    • LM Studiolms get mlx-community/Qwen3.6-27B-8bit
    • MLXmlx_lm.server --model mlx-community/Qwen3.6-27B-8bit