

NVIDIA GeForce RTX 3080 Ti wins 20 of 31 benchmarks, averaging 122.9% faster.
Both cards' numbers are anchored estimates calibrated against our measured cards, pending first-party measurement. Treat small gaps as ties.
The gap is widest in Nemotron Nano 9B v2, where NVIDIA GeForce RTX 3080 Ti leads by 174% (107.7 vs 39.24 tok/s); the closest fight is Stable Diffusion 1.5 (55% apart); VRAM decides part of this one: NVIDIA GeForce RTX 4060 Ti 16GB runs 46 of our 12 AI workloads while the other card runs 20, models that don't fit score zero.
| Benchmark | NVIDIA GeForce RTX 3080 Ti | NVIDIA GeForce RTX 4060 Ti 16GB | Difference |
|---|---|---|---|
| MiniCPM5 2B tok/s | 304.63 | 158.1 | +93% |
| LFM2.5 2.6B tok/s | 320.54 | 142.22 | +125% |
| Granite 4.1 3B tok/s | 228.53 | 108.51 | +111% |
| Nemotron 3 Nano 4B tok/s | 222.47 | 88.1 | +153% |
| Qwen3 4B tok/s | 206.45 | 96.29 | +114% |
| DeepSeek Coder 7B Instruct v1.5 tok/s | 164.84 | 62.54 | +164% |
| Llama 3 8B tok/s | 146.52 | 55.37 | +165% |
| Llama 3.1 8B tok/s | 144.11 | 57.09 | +152% |
| Qwen3 8B tok/s | 140.71 | 54.34 | +159% |
| Nemotron Nano 9B v2 tok/s | 107.7 | 39.24 | +174% |
| Ornith 1.5 9B tok/s | 125.18 | 48.42 | +159% |
| Gemma 4 12B tok/s | 88.43 | 35.25 | +151% |
| Qwen2.5-Coder 14B tok/s | 78.31 | 31.12 | +152% |
| Qwen3 14B tok/s | 82.77 | 30.4 | +172% |
| Gemma 4 26B A4B tok/s | 0 | 0 | n/a |
| Qwen3 30B A3B tok/s | 0 | 0 | n/a |
| Gemma 4 31B tok/s | 0 | 0 | n/a |
| Qwen3 32B tok/s | 0 | 0 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion 1.5 images/min | 40.7 | 26.23 | +55% |
| SDXL Turbo images/min | 440.89 | 255.5 | +73% |
| Sana 1.6B images/min | 20.44 | 11.91 | +72% |
| Stable Diffusion XL images/min | 8.03 | 4.58 | +75% |
| DreamShaper XL Turbo images/min | 28.09 | 16.44 | +71% |
| Playground v2.5 images/min | 4.9 | 2.89 | +70% |
| Z-Image Turbo images/min | 0 | 1.41 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 0 | n/a |
| FLUX.1 dev images/min | 0 | 0 | n/a |
| Qwen-Image-Edit images/min | 0 | 0 | n/a |
| LTX-Video (distilled) frames/s | 0 | 1.668 | n/a |
| Wan 2.2 5B (720p) frames/s | 0 | 0 | n/a |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 3080 Ti is faster on 1 of 1; NVIDIA GeForce RTX 4060 Ti 16GB on 0.
| Workflow | NVIDIA GeForce RTX 3080 Ti | NVIDIA GeForce RTX 4060 Ti 16GB | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 12.8 min | 32.1 min | NVIDIA GeForce RTX 3080 Ti 2.52x faster | $0.026 vs $0.058 |
Renting by the hour, NVIDIA GeForce RTX 3080 Ti finishes 1 of 1 cheaper. The quicker card is not automatically the cheaper way to get the work done.
| Card | Per hour |
|---|---|
| NVIDIA GeForce RTX 3080 Ti | $0.121 |
| NVIDIA GeForce RTX 4060 Ti 16GB | $0.109 |
NVIDIA GeForce RTX 4060 Ti 16GB is 1.11x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
| NVIDIA GeForce RTX 3080 Ti | NVIDIA GeForce RTX 4060 Ti 16GB | |
|---|---|---|
| VRAM | 12GB | 16GB |
| Transistors | 28,300M | 22,900M |
| Die size | 628.4 mm² | 187.8 mm² |
| Process node | 8 nm | 4 nm |
| Transistor density | 45 M/mm² | 121.9 M/mm² |
| Architecture | Ampere (GA102) | Ada Lovelace |
| Memory bandwidth | 912.4 GB/s | 288 GB/s |
| Boost clock | 1,665 MHz | 2,535 MHz |
| TDP | 350 W | 165 W |
| Launch MSRP | $1,199 | $499 |
| Release | 2021-06-03 | 2023-07-18 |
NVIDIA GeForce RTX 3080 Ti full review · NVIDIA GeForce RTX 4060 Ti 16GB full review · All AI & Machine Learning rankings