VRAM
16 GB
TDP
165 W
MSRP
$499
Perf/W
0.29 tok/s/W
Cost/1K tok
$0.11/M
Tested
2024-08-12
NVIDIA GeForce RTX 4060 Ti 16GB has a source-attributed result of 42.0 tok/s on Asure 12B (batch 1, 8192-token context, Q4_K_M; runtime not documented). This is a reference report, not an independently verified lab result. A 70B Q4_K_M artifact needs roughly 40GB for weights alone; smaller memory configurations require explicit offload or model splitting and do not establish full-GPU residency.
NVIDIA GeForce RTX 4060 Ti 16GB — Ada Lovelace budget card with unusually large VRAM for its tier. 16GB GDDR6 at 288 GB/s, 165W TDP. Lower bandwidth than higher-tier 16GB cards.
16GB VRAM at $449-499 is the cheapest way to get 16GB on a new NVIDIA card. Runs 13B Q4 comfortably, 32B Q4 with aggressive offload. ~28 tok/s on 12B Q4 — compute-bound, not bandwidth-bound. The 16GB headroom matters more than speed at this price. Best for: budget AI builds where VRAM capacity matters more than token generation speed.
Buy for budget AI builds where 16GB VRAM capacity matters more than token generation speed. Best new-card value for local AI experimentation. Skip if you can stretch to a used 3090 at $600-700.
13B Q4 full-GPU at 25-30 tok/s — the 16GB headroom matters more than speed at this price
Memory bandwidth bottleneck — the 288 GB/s ceiling is the limiting factor on every model above 7B. You'll be compute-bound before you're VRAM-bound.
Ubuntu 24.04 (excellent), Windows 11 (excellent), WSL2 (excellent), macOS (unsupported)
165W TGP — the most power-efficient 16GB card. Single 8-pin. Runs cool and quiet in any case. Negligible electricity cost even at 24/7 operation.
NVIDIA GeForce RTX 4060 Ti 16GB with 16GB VRAM at 165W TDP, scored across 6 workloads with 7 benchmark records.
Reference workload
Asure 12B
42 tok/s
Quantization
Q4_K_M
8K context · batch 1
| Workload | Score | Quant | Context | σ | Status | Tested |
|---|---|---|---|---|---|---|
| Llama 3 8B Q4 llm | 48.0tok/s | Q4_K_M | 4K | , | Curated Aggregate | 2024-08-12 |
| Mistral 7B llm | 56.0tok/s | Q4_K_M | 4K | , | Curated Aggregate | 2024-09-03 |
| SDXL image gen image | 6.5img/min | FP16 | , | , | Curated Aggregate | 2024-09-15 |
| Whisper transcription audio | 30.0x RT | FP16 | , | , | Curated Aggregate | 2024-09-09 |
| Gemma 2 9B llm | 47.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2024-08-04 |
| Asure 12B llm | 42.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2025-05-01 |
There is insufficient comparable evidence to score NVIDIA GeForce RTX 4060 Ti 16GB. A score needs results for multiple devices with matching workload, runtime version, quantization, context and batch size.
Planning estimates for 16GB: weights plus at least 2GB or 10% overhead. Actual KV cache depends on model, context and cache format; confirm the artifact before buying.
Trust score
6/10
MyAI rating
Not scored
Runs
Not documented
Freshness
Stale
Source-linked row with explicit verification status.
Record date: 2025-05-01; 496 days old.
Best place to start
Retailer we'd check first
Amazon search
For mainstream AI hardware, Amazon usually updates street pricing, seller availability, and shipping speed faster than most comparison sites.
Search Amazon listingsThere is insufficient comparable evidence for a purchase recommendation. Check model fit, software support and a current seller quote.
Affiliate note: we do not have a device-level ASIN yet, so this opens tagged Amazon search results for the exact product name.