

GeForce RTX 5070 Ti wins 18 of 43 benchmarks, averaging 4% 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 LTX-Video (distilled), where NVIDIA GeForce RTX 4080 leads by 33% (3.705 vs 2.795 frames/s); the closest fight is Granite 4.1 3B (1% apart); VRAM decides part of this one: NVIDIA GeForce RTX 4080 runs 36 of our 12 AI workloads while the other card runs 35, models that don't fit score zero.
| Benchmark | NVIDIA GeForce RTX 4080 | GeForce RTX 5070 Ti | Difference |
|---|---|---|---|
| Qwen3 0.6B tok/s | 677.37 | 665.68 | +2% |
| Llama 3.2 1B tok/s | 602.28 | 691.08 | -13% |
| MiniCPM5 2B tok/s | 312.75 | 337.02 | -7% |
| LFM2.5 2.6B tok/s | 307.16 | 335.29 | -8% |
| Granite 4.1 3B tok/s | 226.16 | 229.37 | -1% |
| Nemotron 3 Nano 4B tok/s | 198 | 230.54 | -14% |
| Qwen3 4B tok/s | 201.76 | 231.69 | -13% |
| DeepSeek Coder 7B Instruct v1.5 tok/s | 143.42 | 163.53 | -12% |
| Qwen2.5-7B tok/s | 134.28 | 161.02 | -17% |
| Qwen2.5-Coder 7B tok/s | 134.36 | 161.01 | -17% |
| Llama 3 8B tok/s | 127.3 | 144.39 | -12% |
| Llama 3.1 8B tok/s | 127.09 | 153.23 | -17% |
| Qwen3 8B tok/s | 123.68 | 139.27 | -11% |
| Nemotron Nano 9B v2 tok/s | 91.27 | 110.37 | -17% |
| Ornith 1.5 9B tok/s | 109.71 | 124.91 | -12% |
| Gemma 4 12B tok/s | 78.94 | 88.02 | -10% |
| Qwen2.5-Coder 14B tok/s | 69.93 | 83.44 | -16% |
| Qwen3 14B tok/s | 70.88 | 79.02 | -10% |
| gpt-oss-20b tok/s | 220.65 | 247.36 | -11% |
| Gemma 4 26B A4B tok/s | 0 | 0 | n/a |
| Qwen3 30B A3B tok/s | 0 | 0 | n/a |
| 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 | 51.23 | 49.51 | +3% |
| SDXL Turbo images/min | 484.82 | 431.35 | +12% |
| Z-Image Turbo images/min | 3.07 | 2.43 | +26% |
| Sana 1.6B images/min | 27.92 | 26.18 | +7% |
| Stable Diffusion XL images/min | 10.16 | 9.38 | +8% |
| Playground v2.5 images/min | 6.33 | 5.88 | +8% |
| PixArt-Sigma XL images/min | 14.6 | 13.34 | +9% |
| 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 |
| Wan 2.1 1.3B frames/s | 0.38 | 0.372 | +2% |
| CogVideoX-2B frames/s | 0.31 | 0.293 | +6% |
| LTX-Video (distilled) frames/s | 3.705 | 2.795 | +33% |
| Stable Video Diffusion clips/min | 1.438 | 1.397 | +3% |
| Wan 2.2 5B (720p) frames/s | 0 | 0 | n/a |
| LTX-Video (image to video) clips/min | 1.873 | 1.825 | +3% |
| Wan 2.2 TI2V-5B (image to video) clips/min | 0.798 | 0.766 | +4% |
| Stable Video Diffusion XT clips/min | 0.814 | 0.766 | +6% |
| CogVideoX-5B I2V clips/min | 0.218 | 0.213 | +2% |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 4080 is faster on 1 of 2; GeForce RTX 5070 Ti on 1.
| Workflow | NVIDIA GeForce RTX 4080 | GeForce RTX 5070 Ti | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 14.3 min | 12 min | GeForce RTX 5070 Ti 1.19x faster | $0.054 vs $0.030 |
| Animate a batch of images | 25.1 min | 26.1 min | NVIDIA GeForce RTX 4080 1.04x faster | $0.095 vs $0.065 |
Renting by the hour, GeForce RTX 5070 Ti finishes 2 of 2 cheaper. The quicker card is not automatically the cheaper way to get the work done.
| Card | Per hour |
|---|---|
| NVIDIA GeForce RTX 4080 | $0.228 |
| GeForce RTX 5070 Ti | $0.149 |
GeForce RTX 5070 Ti is 1.53x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
| NVIDIA GeForce RTX 4080 | GeForce RTX 5070 Ti | |
|---|---|---|
| VRAM | 16GB | 16GB |
| Transistors | 45,900M | 45,600M |
| Die size | 378.6 mm² | 378 mm² |
| Process node | 4 nm | 4 nm |
| Transistor density | 121.2 M/mm² | 120.6 M/mm² |
| Architecture | Ada Lovelace (AD103) | Blackwell |
| Memory bandwidth | 716.8 GB/s | 896 GB/s |
| Boost clock | 2,505 MHz | 2,452 MHz |
| TDP | 320 W | 300 W |
| Launch MSRP | $1,199 | $749 |
| Release | 2022-11-16 | 2025-02-20 |
NVIDIA GeForce RTX 4080 full review · GeForce RTX 5070 Ti full review · All AI & Machine Learning rankings