Prefill and token generation speed
Qwen3.8 27B on RTX 3090: do you need an upgrade?
If you own an RTX 3090 24GB, explore Qwen3.8 27B at this response pace first. Compare with an RTX 5090 and distinguish a memory limitation from waiting time.
Benchmark-based estimate · 4K input · one user
Last updated
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Expand settings Settings4-bit · 4K · Baseline decodeCollapse
Reading this result
If your 3090 feels slow, check the model file and settings before shopping for a new GPU. Comparing CPU-offloaded execution with a GPU-resident run can exaggerate hardware differences.
- Required / available memory
- 17.6GB / 22.5GB
- Runtime
- llama.cpp CUDA · Q4_K_M
Compare this model side by side
Watch the same response to see how the wait changes on a 5090. If your current pace is acceptable, you can defer an upgrade and identify whether long inputs or generation are the real issue.
Check configuration
RTX 3090 24GB · Memory 24GB
Qwen3.8 27B Q4_K_M configuration. Check that the retailer lists the same memory option.
What changes with a longer document?Expand input length, waiting time, speed and memory
Detailed analysis and all 61 hardware configurations
Popular configurations
Speed simulations by device and model
Qwen3.8 27B on Mac mini M4 32GB: response speed
5.1 ~ 5.7 tok/s · 16.4 ~ 35.5 s
Qwen3.8 27B: is a Mac mini M4 Pro 48GB worth it?
12.3 ~ 13.7 tok/s · 7.8 ~ 14.3 s
Qwen3.8 27B on MacBook Pro M5 Pro 64GB
14.7 ~ 17.1 tok/s · 8.6 to 10.0 seconds
Qwen3.8 27B on Mac Studio M4 Max 128GB
27.9 ~ 60.4 tok/s · 5.8 to 10.5 seconds