

NVIDIA RTX A6000 wins 9 of 9 benchmarks, averaging 149.8% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
The gap is widest in Z-Image Turbo, where NVIDIA RTX A6000 leads by 300% (1.35 vs 5.4 images/min); the closest fight is Qwen3 4B (91% apart); VRAM decides part of this one: NVIDIA RTX A6000 runs 9 of our 12 AI workloads while the other card runs 6, models that don't fit score zero.
| Benchmark | NVIDIA GeForce RTX 4060 Ti 16GB | NVIDIA RTX A6000 | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 96.29 | 184.34 | -48% |
| Llama 3.1 8B tok/s | 57.09 | 124.87 | -54% |
| Qwen2.5-Coder 14B tok/s | 31.12 | 68.51 | -55% |
| Qwen3 32B tok/s | 0 | 32.18 | n/a |
| Llama 3.3 70B tok/s | 0 | 15.73 | n/a |
| Stable Diffusion XL images/min | 4.58 | 10.02 | -54% |
| Z-Image Turbo images/min | 1.35 | 5.4 | -75% |
| FLUX.1 dev images/min | 0 | 2.164 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 1.05 | n/a |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 4060 Ti 16GB is faster on 0 of 1; NVIDIA RTX A6000 on 1.
| Workflow | NVIDIA GeForce RTX 4060 Ti 16GB | NVIDIA RTX A6000 | Difference |
|---|---|---|---|
| Full codebase review | 32.1 min | 14.6 min | NVIDIA RTX A6000 2.20x faster |
| NVIDIA GeForce RTX 4060 Ti 16GB | NVIDIA RTX A6000 | |
|---|---|---|
| VRAM | 16GB | 48GB |
| Architecture | Ada Lovelace | Ampere |
| Memory bandwidth | 288 GB/s | 768 GB/s |
| Boost clock | 2,535 MHz | 1,860 MHz |
| TDP | 165 W | 300 W |
| Launch MSRP | $499 | $4,650 |
| Release | 2023-07-18 | 2020-10-05 |
NVIDIA GeForce RTX 4060 Ti 16GB full review · NVIDIA RTX A6000 full review · All AI & Machine Learning rankings