Openai Gpt Oss 20B speed on RTX 5070 and quantization-level VRAM fit.
RTX 5070 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.
RTX 5070 can run Openai Gpt Oss 20B with Q4 quantization. At approximately 59 tokens/second, you can expect Good speed - acceptable for interactive use.
VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 10GB | 12GB | 59.17 tok/s | ✅ Fits comfortably |
| Q8 | 20GB | 12GB | 41.42 tok/s | ❌ Not recommended |
| FP16 | 40GB | 12GB | 22.48 tok/s | ❌ Not recommended |
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RTX 5070 can run Openai Gpt Oss 20B at Q4 with an estimated 59 tok/s.
Q4 inference is estimated to need about 10GB VRAM on this page, while RTX 5070 has 12GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.