Qwen3.5-9B
by Qwen
9.7B params · image-text-to-text · 680 likes · 1.2M downloads
Qwen3.5-9B is a 9.7B parameter model. At Q4 quantization it requires 5GB of VRAM. It runs comfortably on GeForce RTX 4090 (136 tok/s), GeForce RTX 5090 (203 tok/s), M4 Max 128GB (49 tok/s).
Inference providers
| Provider | $/1M in | $/1M out | Throughput |
|---|---|---|---|
| Together AI | 101 tok/s |
GPU compatibility
| GPU | VRAM | Q4 Decode | Verdict |
|---|---|---|---|
| GeForce RTX 4090 | 24GB | 136 tok/s | comfortable |
| GeForce RTX 5090 | 32GB | 203 tok/s | comfortable |
| M4 Max 128GB | 128GB | 49 tok/s | comfortable |
| M4 Pro 48GB | 48GB | 24 tok/s | tight |
| M4 Pro 24GB | 24GB | 24 tok/s | tight |
| A100 PCIe 80 GB | 80GB | 249 tok/s | comfortable |
| H100 SXM5 80 GB | 80GB | 501 tok/s | comfortable |
| GeForce RTX 3090 | 24GB | 120 tok/s | comfortable |
| Radeon RX 7900 XTX | 24GB | 99 tok/s | comfortable |
| GeForce RTX 4080 | 16GB | 96 tok/s | comfortable |