NVIDIA GeForce RTX 4070 vs GeForce RTX 4080 Super, AI & Machine Learning Comparison
GeForce RTX 4080 Super wins 5 of 11 benchmarks, averaging 35.5% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Qwen2.5-Coder 14B, where GeForce RTX 4080 Super leads by 39% (50.74 vs 70.55 tok/s); the closest fight is Qwen3 4B (32% apart); VRAM decides part of this one: GeForce RTX 4080 Super runs 6 of our 12 AI workloads while the other card runs 3, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA GeForce RTX 4070 | GeForce RTX 4080 Super | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 149.68 | 197.53 | -24% |
| Llama 3.1 8B tok/s | 93.16 | 126.29 | -26% |
| Qwen2.5-Coder 14B tok/s | 50.74 | 70.55 | -28% |
| Qwen3 32B tok/s | 0 | 0 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Z-Image Turbo images/min | 0 | 0.75 | 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 |
| LTX-Video (distilled) frames/s | 0 | 1.42 | n/a |
| Wan 2.2 5B (720p) frames/s | 0 | 0 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 4070 is faster on 0 of 1; GeForce RTX 4080 Super on 1.
| Workflow | NVIDIA GeForce RTX 4070 | GeForce RTX 4080 Super | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 19.7 min | 14.2 min | GeForce RTX 4080 Super 1.39x faster | $0.025 vs $0.066 |
Renting by the hour, NVIDIA GeForce RTX 4070 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 GeForce RTX 4070 | $0.076 |
| GeForce RTX 4080 Super | $0.280 |
NVIDIA GeForce RTX 4070 is 3.68x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA GeForce RTX 4070 | GeForce RTX 4080 Super | |
|---|---|---|
| VRAM | 12GB | 16GB |
| Transistors | 35,800M | 45,900M |
| Die size | 294.5 mm² | 378.6 mm² |
| Process node | 4 nm | 4 nm |
| Transistor density | 121.6 M/mm² | 121.2 M/mm² |
| Architecture | Ada Lovelace | Ada Lovelace |
| Memory bandwidth | 504 GB/s | 736 GB/s |
| Boost clock | 2,475 MHz | 2,505 MHz |
| TDP | 200 W | 320 W |
| Launch MSRP | $599 | $999 |
| Release | 2023-04-13 | 2024-01-31 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 4070 or GeForce RTX 4080 Super?
- GeForce RTX 4080 Super performs better for ai & machine learning, winning 5 of 11 benchmarks in our suite with an average 35.5% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 4070 and GeForce RTX 4080 Super?
- NVIDIA GeForce RTX 4070 has 12GB VRAM and a 200W TDP, while GeForce RTX 4080 Super has 16GB VRAM and a 320W TDP.
- Does VRAM matter more than speed between NVIDIA GeForce RTX 4070 and GeForce RTX 4080 Super?
- For AI, yes, GeForce RTX 4080 Super fits 2 more of our 12 workloads than NVIDIA GeForce RTX 4070. 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 4070 and GeForce RTX 4080 Super?
- Qwen2.5-Coder 14B: GeForce RTX 4080 Super leads by roughly 39% (50.74 vs 70.55 tok/s) in our testing.
NVIDIA GeForce RTX 4070 full review · GeForce RTX 4080 Super full review · All AI & Machine Learning rankings