

Dead heat, NVIDIA GeForce RTX 3080 Ti and NVIDIA A10G split our benchmark suite evenly.
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 GeForce RTX 3080 Ti leads by 66% (144.11 vs 86.62 tok/s); the closest fight is Qwen3 4B (59% apart); VRAM decides part of this one: NVIDIA GeForce RTX 3080 Ti runs 137 of our 12 AI workloads while the other card runs 3, models that don't fit score zero.
| Benchmark | NVIDIA GeForce RTX 3080 Ti | NVIDIA A10G | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 206.45 | 129.87 | +59% |
| Llama 3.1 8B tok/s | 144.11 | 86.62 | +66% |
| Qwen2.5-Coder 14B tok/s | 78.31 | 47.07 | +66% |
| Qwen3 32B tok/s | 0 | 22.04 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Z-Image Turbo images/min | 0 | 3.45 | n/a |
| 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 | 0.18 | 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 A10G on 0.
| Workflow | NVIDIA GeForce RTX 3080 Ti | NVIDIA A10G | Difference |
|---|---|---|---|
| Full codebase review | 12.8 min | 21.3 min | NVIDIA GeForce RTX 3080 Ti 1.67x faster |
| NVIDIA GeForce RTX 3080 Ti | NVIDIA A10G | |
|---|---|---|
| VRAM | 12GB | 24GB |
| Architecture | Ampere (GA102) | Ampere |
| Memory bandwidth | 912.4 GB/s | 600 GB/s |
| Boost clock | 1,665 MHz | 1,710 MHz |
| TDP | 350 W | 150 W |
| Launch MSRP | $1,199 | $2,800 |
| Release | 2021-06-03 | 2021-11-01 |
NVIDIA GeForce RTX 3080 Ti full review · NVIDIA A10G full review · All AI & Machine Learning rankings