

NVIDIA RTX A5000 wins 7 of 11 benchmarks, averaging 30.6% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
The gap is widest in Llama-3.1-8B, where NVIDIA RTX A5000 leads by 38% (86.62 vs 119.86 tok/s); the closest fight is Stable Diffusion XL (17% apart); VRAM decides part of this one: NVIDIA RTX A5000 runs 137 of our 12 AI workloads while the other card runs 8, models that don't fit score zero.
| Benchmark | NVIDIA A10G | NVIDIA RTX A5000 | Difference |
|---|---|---|---|
| Qwen3-4B tok/s | 129.87 | 171.68 | -24% |
| Llama-3.1-8B tok/s | 86.62 | 119.86 | -28% |
| Qwen2.5-Coder-14B tok/s | 47.07 | 64.89 | -27% |
| Qwen3-32B tok/s | 22.04 | 30.49 | -28% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 6.38 | 7.46 | -14% |
| Z-Image Turbo images/min | 3.45 | 4.05 | -15% |
| FLUX.1 dev images/min | 0 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 0 | n/a |
| Qwen-Image-Edit images/min | 0 | 0 | n/a |
| Wan 2.2 5B (720p) frames/s | 0.18 | 0.24 | -25% |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A10G is faster on 0 of 3; NVIDIA RTX A5000 on 3.
| Workflow | NVIDIA A10G | NVIDIA RTX A5000 | Difference |
|---|---|---|---|
| 24-frame storyboard | 9 min | 7 min | NVIDIA RTX A5000 1.28x faster |
| Full codebase review | 21.3 min | 15.4 min | NVIDIA RTX A5000 1.38x faster |
| 10 short social clips | 50.7 min | 37.2 min | NVIDIA RTX A5000 1.36x faster |
| NVIDIA A10G | NVIDIA RTX A5000 | |
|---|---|---|
| VRAM | 24GB | 24GB |
| Architecture | Ampere | Ampere (GA102 derivative) |
| Memory bandwidth | 600 GB/s | 768 GB/s |
| Boost clock | 1,710 MHz | 1,695 MHz |
| TDP | 150 W | 230 W |
| Launch MSRP | $2,800 | $2,250 |
| Release | 2021-11-01 | 2021-04-12 |
NVIDIA A10G full review · NVIDIA RTX A5000 full review · All AI & Machine Learning rankings