Qwen3.5-9B
2recorded runs
51.9best tok/s
1verified
What the Qwen3.5-9B numbers mean
The fastest verified result on our board is 51.9 output tok/s on an RTX 3060 at Q4_K_M with a 32768-token context. That is about 19.3 ms per generated token — 500 tokens takes roughly 9.6 seconds. Prompt processing on the same record runs at 1457.9 tok/s, so a 2,000-token prompt is read in about 1.4 seconds. Peak VRAM was measured at 5.7 GB. Across the 2 records we hold for this model the range is 38.6–51.9 tok/s on 2 GPUs, because quantisation, context length and the engine build all move the number.
How much VRAM does Qwen3.5-9B need?
Qwen3.5-9B has 10.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 7.3 GB | 12 GB |
| Q8_0 (8-bit) | 13.0 GB | 16 GB |
| FP16 (16-bit) | 23.8 GB | 32 GB |
Fastest GPUs for this model (best tok/s)
- RTX 306051.9
- Tenstorrent P15038.6
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| GLM-4.6V-Flash | 10B | 5.6 GB |
| Ornith-1.5-9B | 10B | 5.6 GB |
| Carnice-9b | 9B | 5.1 GB |
| DeepSeek-V4-Pro-Qwen3.5-9B-MTP | 9B | 5.1 GB |
| Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-i1 | 9B | 5.1 GB |
| NVIDIA-Nemotron-Nano-9B-v2 | 9B | 5.1 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX 3060 · 12 GB | Qwen3.5-9B | Q4_K_M | llama.cpp b10443 | 32768 | 51.9 ✓ | 1457.9 | 5.7 | src |
| Tenstorrent P150 · 32 GB | Qwen3.5-9B | bfp_bf4 | vllm — | 2048 | 38.6 … | 795.6 | — | src |