Openpipe Qwen3 14B Instruct speed on RTX 4080 Super and quantization-level VRAM fit.
RTX 4080 Super meets the minimum VRAM requirement for Q4 inference of Openpipe Qwen3 14B Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4080 Super can run Openpipe Qwen3 14B Instruct with Q4 quantization. At approximately 95 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 9GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 7GB | 16GB | 95.02 tok/s | ✅ Fits comfortably |
| Q8 | 14GB | 16GB | 66.52 tok/s | ✅ Fits comfortably |
| FP16 | 28GB | 16GB | 36.11 tok/s | ❌ Not recommended |
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RTX 4080 Super can run Openpipe Qwen3 14B Instruct at Q4 with an estimated 95 tok/s.
Q4 inference is estimated to need about 7GB VRAM on this page, while RTX 4080 Super has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.