NVIDIA H200 vs NVIDIA RTX 4000 (Ada Generation), AI & Machine Learning Comparison
NVIDIA H200 wins 11 of 11 benchmarks, averaging 453% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in LTX-Video (distilled), where NVIDIA H200 leads by 767% (17.87 vs 2.06 frames/s); the closest fight is Qwen3 4B (189% apart); VRAM decides part of this one: NVIDIA H200 runs 150 of our 12 AI workloads while the other card runs 6, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA H200 | NVIDIA RTX 4000 (Ada Generation) | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 318.84 | 110.18 | +189% |
| Llama 3.1 8B tok/s | 268.31 | 66.59 | +303% |
| Qwen2.5-Coder 14B tok/s | 148.43 | 36.34 | +308% |
| Qwen3 32B tok/s | 76.58 | 0 | n/a |
| Llama 3.3 70B tok/s | 42.66 | 0 | n/a |
| Stable Diffusion XL images/min | 37.16 | 6.56 | +466% |
| FLUX.1 dev images/min | 9.514 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 4.393 | 0 | n/a |
| Qwen-Image-Edit images/min | 3.76 | 0 | n/a |
| LTX-Video (distilled) frames/s | 17.87 | 2.06 | +767% |
| Wan 2.2 5B (720p) frames/s | 1.41 | 0.18 | +683% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA H200 is faster on 1 of 1; NVIDIA RTX 4000 (Ada Generation) on 0.
| Workflow | NVIDIA H200 | NVIDIA RTX 4000 (Ada Generation) | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 6.7 min | 27.5 min | NVIDIA H200 4.08x faster | $0.403 vs $0.092 |
Renting by the hour, NVIDIA RTX 4000 (Ada Generation) finishes 1 of 1 cheaper. The quicker card is not automatically the cheaper way to get the work done.
Cost to rent
| Card | Per hour |
|---|---|
| NVIDIA H200 | $3.590 |
| NVIDIA RTX 4000 (Ada Generation) | $0.200 |
NVIDIA RTX 4000 (Ada Generation) is 17.95x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA H200 | NVIDIA RTX 4000 (Ada Generation) | |
|---|---|---|
| VRAM | 141GB | 20GB |
| Architecture | Hopper | Ada Lovelace |
| Memory bandwidth | 4800 GB/s | 360 GB/s |
| Boost clock | 1,980 MHz | 2,175 MHz |
| TDP | 700 W | 130 W |
| Launch MSRP | $31,000 | $1,250 |
| Release | 2024-03-18 | 2023-08-09 |
FAQ
- Which is better for ai & machine learning: NVIDIA H200 or NVIDIA RTX 4000 (Ada Generation)?
- NVIDIA H200 performs better for ai & machine learning, winning 11 of 11 benchmarks in our suite with an average 453% advantage.
- What are the main hardware differences between NVIDIA H200 and NVIDIA RTX 4000 (Ada Generation)?
- NVIDIA H200 has 141GB VRAM and a 700W TDP, while NVIDIA RTX 4000 (Ada Generation) has 20GB VRAM and a 130W TDP.
- Does VRAM matter more than speed between NVIDIA H200 and NVIDIA RTX 4000 (Ada Generation)?
- For AI, yes, NVIDIA H200 fits 3 more of our 12 workloads than NVIDIA RTX 4000 (Ada Generation). 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 H200 and NVIDIA RTX 4000 (Ada Generation)?
- LTX-Video (distilled): NVIDIA H200 leads by roughly 767% (17.87 vs 2.06 frames/s) in our testing.
NVIDIA H200 full review · NVIDIA RTX 4000 (Ada Generation) full review · All AI & Machine Learning rankings