

GeForce RTX 4080 Super wins 20 of 27 benchmarks, averaging 76.7% 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 Qwen3 14B, where GeForce RTX 4080 Super leads by 98% (72.96 vs 36.81 tok/s); the closest fight is Stable Diffusion 1.5 (32% apart); VRAM decides part of this one: NVIDIA RTX 4000 (Ada Generation) runs 22 of our 12 AI workloads while the other card runs 21, models that don't fit score zero.
| Benchmark | GeForce RTX 4080 Super | NVIDIA RTX 4000 (Ada Generation) | Difference |
|---|---|---|---|
| MiniCPM5 2B tok/s | 311.94 | 183.38 | +70% |
| LFM2.5 2.6B tok/s | 308.63 | 170.15 | +81% |
| Granite 4.1 3B tok/s | 227.06 | 127.76 | +78% |
| Nemotron 3 Nano 4B tok/s | 200.69 | 106.26 | +89% |
| Qwen3 4B tok/s | 197.53 | 110.18 | +79% |
| DeepSeek Coder 7B Instruct v1.5 tok/s | 146.98 | 75.46 | +95% |
| Llama 3 8B tok/s | 130.53 | 66.88 | +95% |
| Llama 3.1 8B tok/s | 126.29 | 66.59 | +90% |
| Qwen3 8B tok/s | 126.39 | 65.39 | +93% |
| Nemotron Nano 9B v2 tok/s | 93.43 | 47.48 | +97% |
| Ornith 1.5 9B tok/s | 111.6 | 58.29 | +91% |
| Gemma 4 12B tok/s | 80.57 | 42.23 | +91% |
| Qwen2.5-Coder 14B tok/s | 70.55 | 36.34 | +94% |
| Qwen3 14B tok/s | 72.96 | 36.81 | +98% |
| 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 | 51.96 | 39.51 | +32% |
| Stable Diffusion XL images/min | 11.54 | 6.56 | +76% |
| Sana 1.6B images/min | 26.98 | 17.96 | +50% |
| Playground v2.5 images/min | 6.74 | 4.32 | +56% |
| PixArt-Sigma XL images/min | 14.59 | 10.45 | +40% |
| 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 | 2.853 | 2.06 | +38% |
| 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. GeForce RTX 4080 Super is faster on 1 of 1; NVIDIA RTX 4000 (Ada Generation) on 0.
| Workflow | GeForce RTX 4080 Super | NVIDIA RTX 4000 (Ada Generation) | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 14.2 min | 27.5 min | GeForce RTX 4080 Super 1.94x faster | $0.052 vs $0.092 |
Renting by the hour, GeForce RTX 4080 Super finishes 1 of 1 cheaper. The quicker card is not automatically the cheaper way to get the work done.
| Card | Per hour |
|---|---|
| GeForce RTX 4080 Super | $0.222 |
| NVIDIA RTX 4000 (Ada Generation) | $0.200 |
NVIDIA RTX 4000 (Ada Generation) is 1.11x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
| GeForce RTX 4080 Super | NVIDIA RTX 4000 (Ada Generation) | |
|---|---|---|
| VRAM | 16GB | 20GB |
| Transistors | 45,900M | 35,800M |
| Die size | 378.6 mm² | 294.5 mm² |
| Process node | 4 nm | 4 nm |
| Transistor density | 121.2 M/mm² | 121.6 M/mm² |
| Architecture | Ada Lovelace | Ada Lovelace |
| Memory bandwidth | 736 GB/s | 360 GB/s |
| Boost clock | 2,505 MHz | 2,175 MHz |
| TDP | 320 W | 130 W |
| Launch MSRP | $999 | $1,250 |
| Release | 2024-01-31 | 2023-08-09 |
GeForce RTX 4080 Super full review · NVIDIA RTX 4000 (Ada Generation) full review · All AI & Machine Learning rankings