Qwen3.8-2.4T-A95B: hardware requirements
Qwen3.8-2.4T-A95B needs about 2605 GB of memory at Q8_0 quantization: a 2600 GB download plus room for context and a runtime allowance. That is beyond consumer hardware; use it through an API instead.
This is a mixture-of-experts model. Only a fraction of its 2446B parameters are used for each token, so it runs faster than its size suggests, but all of it still has to fit in memory. The speed is that of a small model; the memory requirement is that of a large one. More on this →
Will it run on your machine?
Use it without your own hardware
OpenRouter lists Qwen3.8 2.4T A95B at $2.00 per million input tokens and $6.00 per million output tokens. Artificial Analysis measured hosted providers generating 40 tokens per second (Nov 11, 2026).
Price as listed on OpenRouter today. Speed is for hosted servers, not a home computer.
Download sizes by quantization
Lower quantization means a smaller file and less memory, at some cost to quality. Q4_K_M is the usual starting point. What is this?
| Quant | Download | RAM @ 4K | RAM @ 32K | Source |
|---|---|---|---|---|
| Q8_0 | 2600 GB | 2605 GB | 2616 GB | unsloth/Qwen3.8-2.4T-A95B-GGUF |
| BF16 | 4893 GB | 4898 GB | 4909 GB | unsloth/Qwen3.8-2.4T-A95B-GGUF |
Download sizes are measured from the published files named in the Source column. The RAM columns add the context cache, calculated from the model's configuration, and a runtime allowance of 10% of the download (at least 0.5GB, at most 3GB).