Qwen Qwen3 Coder 30B A3b Instruct speed on RTX 4070 Ti and quantization-level VRAM fit.
RTX 4070 Ti does not meet the minimum VRAM requirement for Q4 inference of Qwen Qwen3 Coder 30B A3b Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4070 Ti lacks sufficient VRAM for comfortable Qwen Qwen3 Coder 30B A3b Instruct operation with Q4 quantization.
Your 12GB GPU is 4GB short of the 16GB minimum.
Options: (1) Try Q2 or Q3 quantization for lower VRAM requirements, (2) Consider cloud GPU rental, (3) Upgrade to a GPU with at least 16GB VRAM.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 16GB | 12GB | 106.31 tok/s | ❌ Not recommended |
| Q8 | 31GB | 12GB | 74.42 tok/s | ❌ Not recommended |
| FP16 | 62GB | 12GB | 40.40 tok/s | ❌ Not recommended |
Check current pricing links for RTX 4070 Ti and similar cards.
Open RTX 4070 Ti buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →Your GPU doesn't meet the VRAM requirements. Run Qwen Qwen3 Coder 30B A3b Instruct on cloud GPU instantly.
RTX 4070 Ti is not a comfortable Q4 fit for Qwen Qwen3 Coder 30B A3b Instruct (about 16GB needed).
Q4 inference is estimated to need about 16GB VRAM on this page, while RTX 4070 Ti has 12GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.