Configs › Qwen3.5-0.8B on RTX 5090: 413 tok/s measured
Qwen3.5-0.8B on RTX 5090: 413 tok/s measured
Measured Qwen3.5-0.8B speeds: 413 tok/s on RTX 5090 (Q4_0, llama.cpp/cuda). 19 configs, each linked to its source, snapshot 2026-10-15.
Snapshot 2026-10-15 · 394 configs on AI boxes and 423 on GPU cards · 123 models. Every number is generated from the tracker snapshot and linked to where it was measured; nothing here is typed by hand.
Quick answers
- How fast is Qwen3.5-0.8B on RTX 5090?
- 413 tok/s single-stream decode (Q4_0, llama.cpp/cuda), the fastest of 19 measured configs on NVIDIA RTX 5090 (32GB), measured by paulplee, source last checked 2026-10-15. source
Qwen3.5-0.8B on GPU cards, ranked on their own
GPU cards run the model from their own VRAM: very fast on what fits, but most cannot load what a 128 GB AI box can. Ranked on their own, never against the boxes.
| Model | Hardware | Quant | Backend | Decode | Context | Trust | Source |
|---|---|---|---|---|---|---|---|
| Qwen3.5-0.8B | RTX 5090 | Q4_0 | llama.cpp/cuda | 413 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | IQ4_NL | llama.cpp/cuda | 410 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | UD-IQ3_XXS | llama.cpp/cuda | 409.5 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | Q4_1 | llama.cpp/cuda | 407.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | IQ4_XS | llama.cpp/cuda | 406.7 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | UD-Q4_K_XL | llama.cpp/cuda | 405.5 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | Q5_K_S | llama.cpp/cuda | 402.7 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | Q4_K_S | llama.cpp/cuda | 402.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | Q4_K_M | llama.cpp/cuda | 401.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | UD-Q5_K_XL | llama.cpp/cuda | 399.1 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | Q5_K_M | llama.cpp/cuda | 397.8 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | UD-Q6_K_XL | llama.cpp/cuda | 397 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | Q8_0 | llama.cpp/cuda | 396.6 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | UD-Q3_K_XL | llama.cpp/cuda | 394.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | Q6_K | llama.cpp/cuda | 392.8 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | Q3_K_M | llama.cpp/cuda | 388.6 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | Q3_K_S | llama.cpp/cuda | 381.6 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | UD-Q8_K_XL | llama.cpp/cuda | 370.8 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | RTX 5090 | BF16 | llama.cpp/cuda | 349.6 tok/s | 8192 | Structured table | source |
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