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Qwen3.8-27B
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50.9 tok/s · model median · 105 runs in the model record.
| Reference rig | Quantization | Median result | Basis | TTFT (ms) | Peak VRAM | Max context | Engines |
|---|---|---|---|---|---|---|---|
| Arc Pro B70 32GB | 4-bit | 44 tok/s | measured | 141 | - GB | 131,072 | llama.cpp, vllm |
| CMP 170HX 64GB | 16-bit | 24.4 tok/s | measured | 5,898 | - GB | 65,799 | vllm |
| GB10 Grace Blackwell 256GB | 16-bit | 8.2 tok/s | reported | 283 | - GB | 2,048 | vllm |
| H100 NVL 94GB ×2 | 8-bit | 293.3 tok/s | reported | 69 | - GB | 2,048 | sglang |
| Radeon AI Pro R9700 32GB | 4-bit | 285.5 tok/s | measured | 115 | 19 GB | 98,304 | hipfire |
| Radeon AI Pro R9700 32GB | 6-bit | 38.7 tok/s | reported | 77,056 | 29.9 GB | 131,072 | llama.cpp |
| Radeon AI Pro R9700 32GB ×2 | 8-bit | 46.8 tok/s | reported | - | - GB | 262,144 | llama.cpp |
| Radeon AI Pro R9700 32GB ×3 | 4-bit | 28.4 tok/s | measured | 919 | - GB | 829 | llama.cpp |
| Radeon AI Pro R9700 32GB ×3 | 8-bit | 52.9 tok/s | measured | 808 | 48.6 GB | 262,144 | llama.cpp, lucebox |
| RTX 3090 24GB | 4-bit | 113.2 tok/s | reported | 91 | 22.4 GB | 65,536 | vllm |
| RTX 3090 24GB | 6-bit | 53 tok/s | reported | 208 | - GB | 2,048 | llama.cpp |
| RTX 3090 24GB ×2 | 4-bit | 72.8 tok/s | measured | 949 | - GB | 262,144 | vllm |
| RTX 5060 Ti 16GB ×2 | 4-bit | 63.2 tok/s | measured | 190 | - GB | 131,072 | llama.cpp, vllm |
| RTX 5090 32GB | 4-bit | 157.4 tok/s | measured | 279 | 24 GB | 170,000 | llama.cpp, lucebox, vllm |
| RTX PRO 6000 Blackwell 96GB | 4-bit | 81.8 tok/s | measured | 215 | - GB | 2,048 | llama.cpp, ollama |
| RTX PRO 6000 Blackwell 96GB | 8-bit | 84.5 tok/s | reported | 379 | - GB | 2,048 | llama.cpp |
| RTX PRO 6000 Blackwell 96GB | 16-bit | 64.7 tok/s | reported | 92 | - GB | 262,144 | vllm |
| RX 7800 XT 16GB | 4-bit | 28 tok/s | reported | - | - GB | 2,048 | llama.cpp |
| RX 7900 XTX 24GB | 4-bit | 90.7 tok/s | measured | 646 | 17.5 GB | 32,768 | hipfire, llama.cpp |
| RX 7900 XTX 24GB ×2 | 8-bit | 35.2 tok/s | measured | 671 | 31.7 GB | 16,384 | llama.cpp |
| Ryzen AI Max 395 128GB | 4-bit | 65 tok/s | measured | 2,528 | 18 GB | 4,096 | hipfire, llama.cpp |
| Ryzen AI Max 395 128GB | 8-bit | 14.2 tok/s | measured | 2,090 | - GB | 829 | llama.cpp |
| Ryzen AI Max 395 64GB | 4-bit | 18.5 tok/s | measured | 4,379 | 17.4 GB | 8,192 | llama.cpp |
| Ryzen AI Max 395 64GB | 6-bit | 17.3 tok/s | measured | 4,772 | 25.7 GB | 8,192 | llama.cpp |
| Tesla V100 16GB ×4 | 4-bit | 391 tok/s | reported | 349 | 61 GB | 32,768 | vllm |
Context tested
The table above is the tested context for each exact rig and quantization cell. Empty fields remain empty rather than being filled with an estimate.