NVIDIA RTX 4060 Ti - 8GB usable
Specifications
| Brand | NVIDIA |
|---|---|
| Model | RTX 4060 Ti |
| Usable VRAM | 8GB |
| Architecture | Ada |
| CUDA / Stream Processors | 4,352 |
| Memory Bandwidth | 288 GB/s |
| TDP | 160W |
| FP32 TFLOPS | 22 |
Current Offers
Used from $400New from $560
Prices last updated:
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Lowest tracked offers by retailer
US · USD · Weekly since Aug 2026 · Shipping may be extra
About these prices
Each line is the lowest offer we tracked from that retailer at weekly snapshots, ending at today's offer. The condition can vary between snapshots (new, used, or unrecorded for older ones). eBay prices exclude shipping. Tax is excluded. Amazon shows a current price only.
Weekly offers table
| Date | eBay | Amazon | Newegg |
|---|---|---|---|
| Today, Nov 3, 2026 | $400.00 | $429.99 | – |
| Oct 30, 2026 | $399.99 | – | – |
| Oct 23, 2026 | $399.99 | – | – |
| Oct 9, 2026 | $389.00 | – | – |
| Oct 2, 2026 | $390.00 | – | $534.99 |
| Sep 25, 2026 | $398.00 | – | $553.00 |
| Sep 18, 2026 | $350.73 | – | $620.79 |
| Sep 11, 2026 | $341.97 | – | $553.00 |
| Sep 4, 2026 | $300.00 | – | $419.99 |
| Sep 1, 2026 | $300.00 | – | $640.19 |
| Aug 28, 2026 | $280.00 | – | $549.00 |
| Aug 21, 2026 | $289.99 | – | – |
For AI / LLM Use
Limited VRAM restricts you to 7B quantized models. Slower generation, usable but not snappy.
What Models Can It Run?
- 7B Q6_K, 14B Q3_K (tight)
- 7B Q4_K_M only
Estimated Performance
Generation: ~22 tokens/sec
Prefill: ~393 tokens/sec
Recommended Quantisations
- Q4_K_M for 7B models
- Q3_K for larger experiments
Pros & Cons
Pros
- Ada architecture: broad CUDA software support
- Consumer card: easy to install, display output
Cons
- Only 8GB usable VRAM: limited to small models
- Low memory bandwidth: slower token generation
Community Verdict
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