Mistralai Mistral Large Instruct 2411 speed on RTX 4060 Ti 16GB and quantization-level VRAM fit.
RTX 4060 Ti 16GB does not meet the minimum VRAM requirement for Q4 inference of Mistralai Mistral Large Instruct 2411. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4060 Ti 16GB lacks sufficient VRAM for comfortable Mistralai Mistral Large Instruct 2411 operation with Q4 quantization.
Your 16GB GPU is 46GB short of the 62GB 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 | 62GB | 16GB | 10.10 tok/s | ❌ Not recommended |
| Q8 | 123GB | 16GB | 7.07 tok/s | ❌ Not recommended |
| FP16 | 246GB | 16GB | 3.84 tok/s | ❌ Not recommended |
Check current pricing links for RTX 4060 Ti 16GB and similar cards.
Open RTX 4060 Ti 16GB 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 Mistralai Mistral Large Instruct 2411 on cloud GPU instantly.
RTX 4060 Ti 16GB is not a comfortable Q4 fit for Mistralai Mistral Large Instruct 2411 (about 62GB needed).
Q4 inference is estimated to need about 62GB VRAM on this page, while RTX 4060 Ti 16GB has 16GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.