NVIDIA Quadro RTX 8000 vs NVIDIA RTX PRO 4000 Blackwell, AI & Machine Learning Comparison
NVIDIA RTX PRO 4000 Blackwell wins 19 of 21 benchmarks, averaging 76.2% faster.
NVIDIA Quadro RTX 8000's numbers are anchored estimates calibrated against our measured cards, pending first-party measurement. Treat small gaps as ties.
What the numbers say
The gap is widest in Z-Image Turbo, where NVIDIA RTX PRO 4000 Blackwell leads by 883% (0.45 vs 4.425 images/min); the closest fight is Qwen3 14B (18% apart); VRAM decides part of this one: NVIDIA Quadro RTX 8000 runs 25 of our 12 AI workloads while the other card runs 20, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA Quadro RTX 8000 | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| MiniCPM5 2B tok/s | 181.19 | 271.18 | -33% |
| LFM2.5 2.6B tok/s | 192.62 | 254.94 | -24% |
| Granite 4.1 3B tok/s | 138.18 | 182.59 | -24% |
| Nemotron 3 Nano 4B tok/s | 134.78 | 174.55 | -23% |
| Qwen3 4B tok/s | 127.01 | 179.58 | -29% |
| DeepSeek Coder 7B Instruct v1.5 tok/s | 95.87 | 117.35 | -18% |
| Llama 3 8B tok/s | 84.49 | 104.38 | -19% |
| Llama 3.1 8B tok/s | 84.68 | 112.36 | -25% |
| Qwen3 8B tok/s | 81.7 | 101.59 | -20% |
| Nemotron Nano 9B v2 tok/s | 64.28 | 82.32 | -22% |
| Ornith 1.5 9B tok/s | 72.54 | 91.88 | -21% |
| Gemma 4 12B tok/s | 51.52 | 64.44 | -20% |
| Qwen2.5-Coder 14B tok/s | 46.74 | 60.62 | -23% |
| Qwen3 14B tok/s | 47.81 | 56.63 | -16% |
| Gemma 4 26B A4B tok/s | 96.49 | 134.51 | -28% |
| Qwen3 30B A3B tok/s | 127.94 | 185.31 | -31% |
| Qwen3 32B tok/s | 21.98 | 27.8 | -21% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 6.18 | 8.56 | -28% |
| Z-Image Turbo images/min | 0.45 | 4.425 | -90% |
| FLUX.1 dev images/min | 0.171 | 0 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA Quadro RTX 8000 is faster on 0 of 2; NVIDIA RTX PRO 4000 Blackwell on 2.
| Workflow | NVIDIA Quadro RTX 8000 | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| Full codebase review | 21.4 min | 16.5 min | NVIDIA RTX PRO 4000 Blackwell 1.30x faster |
| 24-frame storyboard | 54.9 min | 6.4 min | NVIDIA RTX PRO 4000 Blackwell 8.56x faster |
Specifications compared
| NVIDIA Quadro RTX 8000 | NVIDIA RTX PRO 4000 Blackwell | |
|---|---|---|
| VRAM | 48GB | 24GB |
| Transistors | 18,600M | 45,600M |
| Die size | 754 mm² | 378 mm² |
| Process node | 12 nm | 4 nm |
| Transistor density | 24.7 M/mm² | 120.6 M/mm² |
| Architecture | Turing (TU102) | Blackwell |
| Memory bandwidth | 672 GB/s | 672 GB/s |
| Boost clock | 1,770 MHz | 2,617 MHz |
| TDP | 260 W | 140 W |
| Launch MSRP | $9,999 | $1,500 |
| Release | 2018-08-27 | 2025-08-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA Quadro RTX 8000 or NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA RTX PRO 4000 Blackwell performs better for ai & machine learning, winning 19 of 21 benchmarks in our suite with an average 76.2% advantage.
- What are the main hardware differences between NVIDIA Quadro RTX 8000 and NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA Quadro RTX 8000 has 48GB VRAM and a 260W TDP, while NVIDIA RTX PRO 4000 Blackwell has 24GB VRAM and a 140W TDP.
- Does VRAM matter more than speed between NVIDIA Quadro RTX 8000 and NVIDIA RTX PRO 4000 Blackwell?
- For AI, yes, NVIDIA Quadro RTX 8000 fits 4 more of our 12 workloads than NVIDIA RTX PRO 4000 Blackwell. A model that exceeds VRAM doesn't run slower, it doesn't run at all, so the card that fits the model wins that workload outright.
- Where is the biggest performance difference between NVIDIA Quadro RTX 8000 and NVIDIA RTX PRO 4000 Blackwell?
- Z-Image Turbo: NVIDIA RTX PRO 4000 Blackwell leads by roughly 398% (0.45 vs 4.425 images/min) in our testing.
NVIDIA Quadro RTX 8000 full review · NVIDIA RTX PRO 4000 Blackwell full review · All AI & Machine Learning rankings