NVIDIA GeForce RTX 3090 vs NVIDIA L4, AI & Machine Learning Comparison
NVIDIA GeForce RTX 3090 wins 7 of 11 benchmarks, averaging 124.4% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Qwen3 32B, where NVIDIA GeForce RTX 3090 leads by 206% (37.95 vs 12.42 tok/s); the closest fight is Stable Diffusion XL (44% apart); VRAM decides part of this one: NVIDIA GeForce RTX 3090 runs 138 of our 12 AI workloads while the other card runs 8, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA GeForce RTX 3090 | NVIDIA L4 | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 206.67 | 84 | +146% |
| Llama 3.1 8B tok/s | 144.9 | 50.45 | +187% |
| Qwen2.5-Coder 14B tok/s | 78.79 | 27.46 | +187% |
| Qwen3 32B tok/s | 37.95 | 12.42 | +206% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 7.46 | 5.18 | +44% |
| Z-Image Turbo images/min | 3.825 | 2.475 | +55% |
| 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 | 0.22 | 0.15 | +47% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 3090 is faster on 3 of 3; NVIDIA L4 on 0.
| Workflow | NVIDIA GeForce RTX 3090 | NVIDIA L4 | Difference | Cost per run |
|---|---|---|---|---|
| 24-frame storyboard | 8.3 min | 12.2 min | NVIDIA GeForce RTX 3090 1.48x faster | $0.010 vs $0.089 |
| Full codebase review | 12.7 min | 36.4 min | NVIDIA GeForce RTX 3090 2.87x faster | $0.015 vs $0.267 |
| 10 short social clips | 42.4 min | 60.3 min | NVIDIA GeForce RTX 3090 1.42x faster | $0.049 vs $0.442 |
Renting by the hour, NVIDIA GeForce RTX 3090 finishes 3 of 3 cheaper. The quicker card is not automatically the cheaper way to get the work done.
Cost to rent
| Card | Per hour |
|---|---|
| NVIDIA GeForce RTX 3090 | $0.069 |
| NVIDIA L4 | $0.440 |
NVIDIA GeForce RTX 3090 is 6.38x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA GeForce RTX 3090 | NVIDIA L4 | |
|---|---|---|
| VRAM | 24GB | 24GB |
| Architecture | Ampere (GA102) | Ada Lovelace |
| Memory bandwidth | 936.2 GB/s | 300 GB/s |
| Boost clock | 1,695 MHz | 2,040 MHz |
| TDP | 350 W | 72 W |
| Launch MSRP | $1,499 | $2,500 |
| Release | 2020-09-24 | 2023-03-21 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 3090 or NVIDIA L4?
- NVIDIA GeForce RTX 3090 performs better for ai & machine learning, winning 7 of 11 benchmarks in our suite with an average 124.4% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 3090 and NVIDIA L4?
- NVIDIA GeForce RTX 3090 has 24GB VRAM and a 350W TDP, while NVIDIA L4 has 24GB VRAM and a 72W TDP.
- Does VRAM matter more than speed between NVIDIA GeForce RTX 3090 and NVIDIA L4?
- For AI, yes, NVIDIA GeForce RTX 3090 fits 20 more of our 12 workloads than NVIDIA L4. 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 GeForce RTX 3090 and NVIDIA L4?
- Qwen3 32B: NVIDIA GeForce RTX 3090 leads by roughly 206% (37.95 vs 12.42 tok/s) in our testing.
NVIDIA GeForce RTX 3090 full review · NVIDIA L4 full review · All AI & Machine Learning rankings