readygpu

Qwen 3.5 35B-A3B

36B total, 3B active · 256k context · apache-2.0 · released 2026-02-24

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What to run it on in Germany

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
NVIDIA GeForce RTX 3090Q4_K_Mfits107 tok/s––
NVIDIA GeForce RTX 5090Q6_Kfits175 tok/s––
Mac Studio M4 Max 128GBQ8_0fits48 tok/s––
NVIDIA GeForce RTX 4090Q4_K_Mfits116 tok/s––
Mac mini M4 Pro 64GBQ8_0fits24 tok/s––
AMD Radeon RX 7900 XTXQ4_K_Mfits98 tok/s––
Framework Desktop Ryzen AI Max+ 395 128GBQ8_0fits19 tok/s––
Mac Studio M3 Ultra 512GBQ8_0fits71 tok/s––
NVIDIA DGX Spark 128GBQ8_0fits23 tok/s––
GMKtec EVO-X2 Ryzen AI Max+ 395 128GBQ8_0fits19 tok/s––
Mac Studio M3 Ultra 256GBQ8_0fits71 tok/s––
Mac mini M4 Pro 48GBQ6_Kfits28 tok/s––
Mac Studio M4 Max 64GBQ8_0fits48 tok/s––
Mac Studio M3 Ultra 96GBQ8_0fits71 tok/s––
NVIDIA RTX PRO 6000 BlackwellQ8_0fits149 tok/s––
AMD Radeon AI PRO R9700Q6_Kfits55 tok/s––
ASUS Ascent GX10 128GBQ8_0fits23 tok/s––
Framework Desktop Ryzen AI Max+ 395 64GBQ8_0fits19 tok/s––
NVIDIA GeForce RTX 3090 TiQ4_K_Mfits116 tok/s––
Intel Arc Pro B60Q4_K_Mfits39 tok/s––
NVIDIA Tesla P40Q4_K_Mfits40 tok/s––
NVIDIA GeForce RTX 5070 TiQ4_K_Moffload25 tok/s––
NVIDIA GeForce RTX 5060 Ti 16GBQ4_K_Moffload21 tok/s––
NVIDIA GeForce RTX 3060 12GBQ4_K_Moffload16 tok/s––
AMD Radeon RX 9070 XTQ4_K_Moffload22 tok/s––
NVIDIA GeForce RTX 4060 Ti 16GBQ4_K_Moffload18 tok/s––
NVIDIA GeForce RTX 5080Q4_K_Moffload25 tok/s––
NVIDIA GeForce RTX 4070 Ti SuperQ4_K_Moffload23 tok/s––
NVIDIA GeForce RTX 5070Q4_K_Moffload17 tok/s––
AMD Radeon RX 9060 XT 16GBQ4_K_Moffload18 tok/s––
NVIDIA GeForce RTX 4070 SuperQ4_K_Moffload16 tok/s––
NVIDIA GeForce RTX 4080 SuperQ4_K_Moffload24 tok/s––
AMD Radeon RX 7800 XTQ4_K_Moffload22 tok/s––
AMD Radeon RX 7900 XTQ4_K_Moffload36 tok/s––
Intel Arc B580Q4_K_Moffload14 tok/s––
AMD Radeon RX 7600 XTQ4_K_Moffload17 tok/s––
NVIDIA GeForce RTX 3080 10GBQ4_K_Moffload15 tok/s––
Intel Arc A770 16GBQ4_K_Moffload19 tok/s––

2 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_Mgguf20.5 GB21.5 GB22.1 GB22.9 GB24.5 GB
mlx-4bitmlx19.0 GB20.0 GB20.6 GB21.4 GB23.0 GB
Q5_K_Mgguf24.4 GB25.4 GB26.0 GB26.8 GB28.5 GB
Q6_Kgguf26.9 GB27.8 GB28.4 GB29.3 GB30.9 GB
Q8_0gguf34.4 GB35.3 GB35.9 GB36.8 GB38.4 GB
mlx-8bitmlx35.1 GB36.1 GB36.7 GB37.5 GB39.1 GB

Run it

Copy a command for the runtime you use.

  • Q4_K_M
    • Ollamaollama run hf.co/unsloth/Qwen3.5-35B-A3B-GGUF:Q4_K_M
    • LM Studiolms get unsloth/Qwen3.5-35B-A3B-GGUF@q4_k_m
    • llama.cppllama-server -hf unsloth/Qwen3.5-35B-A3B-GGUF:Q4_K_M
  • mlx-4bit
    • LM Studiolms get mlx-community/Qwen3.5-35B-A3B-4bit
    • MLXmlx_lm.server --model mlx-community/Qwen3.5-35B-A3B-4bit
  • Q5_K_M
    • Ollamaollama run hf.co/unsloth/Qwen3.5-35B-A3B-GGUF:Q5_K_M
    • LM Studiolms get unsloth/Qwen3.5-35B-A3B-GGUF@q5_k_m
    • llama.cppllama-server -hf unsloth/Qwen3.5-35B-A3B-GGUF:Q5_K_M
  • Q6_K
    • Ollamaollama run hf.co/unsloth/Qwen3.5-35B-A3B-GGUF:Q6_K
    • LM Studiolms get unsloth/Qwen3.5-35B-A3B-GGUF@q6_k
    • llama.cppllama-server -hf unsloth/Qwen3.5-35B-A3B-GGUF:Q6_K
  • Q8_0
    • Ollamaollama run hf.co/unsloth/Qwen3.5-35B-A3B-GGUF:Q8_0
    • LM Studiolms get unsloth/Qwen3.5-35B-A3B-GGUF@q8_0
    • llama.cppllama-server -hf unsloth/Qwen3.5-35B-A3B-GGUF:Q8_0
  • mlx-8bit
    • LM Studiolms get mlx-community/Qwen3.5-35B-A3B-8bit
    • MLXmlx_lm.server --model mlx-community/Qwen3.5-35B-A3B-8bit