Configs › Qwen3.5-2B on RTX 5090: 366.3 tok/s measured
Qwen3.5-2B on RTX 5090: 366.3 tok/s measured
Measured Qwen3.5-2B speeds: 366.3 tok/s on RTX 5090 (UD-IQ3_XXS, 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 Qwen3.5-2B on RTX 5090?
- 366.3 tok/s single-stream decode (UD-IQ3_XXS, llama.cpp/cuda), the fastest of 19 measured configs on NVIDIA RTX 5090 (32GB), measured by paulplee, source last checked 2026-10-15. source
Qwen3.5-2B 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 |
|---|---|---|---|---|---|---|---|
| Qwen3.5-2B | RTX 5090 | UD-IQ3_XXS | llama.cpp/cuda | 366.3 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | IQ4_XS | llama.cpp/cuda | 352.4 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | Q4_0 | llama.cpp/cuda | 352.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | IQ4_NL | llama.cpp/cuda | 350.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | UD-Q3_K_XL | llama.cpp/cuda | 349.8 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | UD-Q4_K_XL | llama.cpp/cuda | 346.6 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | Q4_1 | llama.cpp/cuda | 346.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | Q4_K_S | llama.cpp/cuda | 342.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | Q4_K_M | llama.cpp/cuda | 341.3 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | UD-Q5_K_XL | llama.cpp/cuda | 337.6 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | Q5_K_M | llama.cpp/cuda | 337.1 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | Q3_K_M | llama.cpp/cuda | 330.1 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | Q5_K_S | llama.cpp/cuda | 326.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | Q6_K | llama.cpp/cuda | 326.4 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | Q3_K_S | llama.cpp/cuda | 320.3 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | UD-Q6_K_XL | llama.cpp/cuda | 315.7 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | Q8_0 | llama.cpp/cuda | 306 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | UD-Q8_K_XL | llama.cpp/cuda | 272.8 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | RTX 5090 | BF16 | llama.cpp/cuda | 236.3 tok/s | 8192 | Structured table | source |
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