Qwen 3 14B needs ~13.5 GB VRAM. RTX 5060 Ti 16GB has 16.0 GB. With Q4_K_M quantization, expect ~35 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Tight fit
Decode
35.4 tok/s
TTFT
5463 ms
Safe context
33K
Memory
13.5 GB / 16.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 35.4 tok/s | 2980 ms | 33K |
| Coding | S | Tight fit | 35.4 tok/s | 5463 ms | 33K |
| Agentic Coding | S | Runs with offload | 35.4 tok/s | 7947 ms | 33K |
| Reasoning | S | Tight fit | 35.4 tok/s | 6457 ms | 33K |
| RAG | S | Runs with offload | 35.4 tok/s | 9933 ms | 33K |
How Qwen 3 14B (14B params) fits at each quantization level on RTX 5060 Ti 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | S90 |
Q3_K_S | 3 | 6.9 GB | Low | S91 |
NVFP4 | 4 | 7.8 GB | Medium | S92 |
Q4_K_M | 4 | 8.5 GB | Medium | S92 |
Q5_K_M | 5 | 10.1 GB | High | S92 |
Q6_KBest for your GPU | 6 | 11.5 GB | High | S91 |
Q8_0 | 8 | 15.0 GB | Very High | F0 |
F16 | 16 | 28.7 GB | Maximum | F0 |
Copy-paste commands to run Qwen 3 14B on your machine.
Run
ollama run qwen3Yes, RTX 5060 Ti 16GB can run Qwen 3 14B with a S grade (Tight fit). Expected decode speed: 35.4 tok/s.
Qwen 3 14B (14B parameters) requires approximately 13.5 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3 14B is Q4_K_M, which balances quality and memory efficiency.
On RTX 5060 Ti 16GB, Qwen 3 14B achieves approximately 35.4 tokens per second decode speed with a time-to-first-token of 5463ms using Q4_K_M quantization.
For coding workloads, Qwen 3 14B on RTX 5060 Ti 16GB receives a S grade with 35.4 tok/s and 33K context.
On RTX 5060 Ti 16GB, Qwen 3 14B can safely use up to 33K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/qwen-3-14b-on-rtx-5060-ti-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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