Qwen 3 8B needs ~9.9 GB VRAM. RTX 4060 Ti 16GB has 16.0 GB. With Q4_K_M quantization, expect ~46 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
Runs well
Decode
46.3 tok/s
TTFT
4180 ms
Safe context
61K
Memory
9.9 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 | 46.3 tok/s | 2280 ms | 61K |
| Coding | S | Runs well | 46.3 tok/s | 4180 ms | 61K |
| Agentic Coding | S | Runs well | 46.3 tok/s | 6080 ms | 61K |
| Reasoning | S | Runs well | 46.3 tok/s | 4940 ms | 61K |
| RAG | S | Runs well | 46.3 tok/s | 7600 ms | 61K |
How Qwen 3 8B (8B params) fits at each quantization level on RTX 4060 Ti 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | S87 |
Q3_K_S | 3 | 3.9 GB | Low | S88 |
NVFP4 | 4 | 4.5 GB | Medium | S88 |
Q4_K_M | 4 | 4.9 GB | Medium | S89 |
Q5_K_M | 5 | 5.8 GB | High | S89 |
Q6_K | 6 | 6.6 GB | High | S90 |
Q8_0Best for your GPU | 8 | 8.6 GB | Very High | S91 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Copy-paste commands to run Qwen 3 8B on your machine.
Run
ollama run qwen3:8bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen 3.5 9B | 9B | S | 41.2 tok/s | |
| Qwen 3 14B | 14B | S | 26.6 tok/s |
Yes, RTX 4060 Ti 16GB can run Qwen 3 8B with a S grade (Runs well). Expected decode speed: 46.3 tok/s.
Qwen 3 8B (8B parameters) requires approximately 9.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3 8B is Q4_K_M, which balances quality and memory efficiency.
On RTX 4060 Ti 16GB, Qwen 3 8B achieves approximately 46.3 tokens per second decode speed with a time-to-first-token of 4180ms using Q4_K_M quantization.
For coding workloads, Qwen 3 8B on RTX 4060 Ti 16GB receives a S grade with 46.3 tok/s and 61K context.
On RTX 4060 Ti 16GB, Qwen 3 8B can safely use up to 61K 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-3-8b-on-rtx-4060-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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