Mistralai Mixtral 8x22b Instruct V0 1 speed on NVIDIA L4 and quantization-level VRAM fit.
NVIDIA L4 meets the minimum VRAM requirement for Q4 inference of Mistralai Mixtral 8x22b Instruct V0 1. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA L4 can run Mistralai Mixtral 8x22b Instruct V0 1 with Q4 quantization. At approximately 43 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 13GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 11GB | 24GB | 43.31 tok/s | ✅ Fits comfortably |
| Q8 | 22GB | 24GB | 30.31 tok/s | ✅ Fits comfortably |
| FP16 | 44GB | 24GB | 16.46 tok/s | ❌ Not recommended |
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Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →NVIDIA L4 can run Mistralai Mixtral 8x22b Instruct V0 1 at Q4 with an estimated 43 tok/s.
Q4 inference is estimated to need about 11GB VRAM on this page, while NVIDIA L4 has 24GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.