Openai Gpt Oss 20B speed on RX 7900 XT and quantization-level VRAM fit.
RX 7900 XT meets the minimum VRAM requirement for Q4 inference of Openai Gpt Oss 20B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RX 7900 XT can run Openai Gpt Oss 20B with Q4 quantization. At approximately 67 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 10GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 10GB | 20GB | 67.05 tok/s | ✅ Fits comfortably |
| Q8 | 20GB | 20GB | 46.93 tok/s | ⚠️ Tight fit |
| FP16 | 40GB | 20GB | 25.48 tok/s | ❌ Not recommended |
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RX 7900 XT can run Openai Gpt Oss 20B at Q4 with an estimated 67 tok/s.
Q4 inference is estimated to need about 10GB VRAM on this page, while RX 7900 XT has 20GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.