NVIDIA GeForce RTX 4080 vs GeForce RTX 5080, AI & Machine Learning Comparison
GeForce RTX 5080 wins 34 of 43 benchmarks, averaging 19.2% faster.
Both cards' 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 Nemotron Nano 9B v2, where GeForce RTX 5080 leads by 31% (91.27 vs 119.94 tok/s); the closest fight is Qwen3 0.6B (2% apart); VRAM decides part of this one: NVIDIA GeForce RTX 4080 runs 35 of our 12 AI workloads while the other card runs 34, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA GeForce RTX 4080 | GeForce RTX 5080 | Difference |
|---|---|---|---|
| Qwen3 0.6B tok/s | 677.37 | 692.51 | -2% |
| Llama 3.2 1B tok/s | 602.28 | 726.57 | -17% |
| MiniCPM5 2B tok/s | 312.75 | 367.12 | -15% |
| LFM2.5 2.6B tok/s | 307.16 | 377.14 | -19% |
| Granite 4.1 3B tok/s | 226.16 | 253.62 | -11% |
| Nemotron 3 Nano 4B tok/s | 198 | 255.18 | -22% |
| Qwen3 4B tok/s | 201.76 | 215.89 | -7% |
| DeepSeek Coder 7B Instruct v1.5 tok/s | 143.42 | 180.65 | -21% |
| Qwen2.5-7B tok/s | 134.28 | 173.49 | -23% |
| Qwen2.5-Coder 7B tok/s | 134.36 | 173.53 | -23% |
| Llama 3 8B tok/s | 127.3 | 158.84 | -20% |
| Llama 3.1 8B tok/s | 127.09 | 150.71 | -16% |
| Qwen3 8B tok/s | 123.68 | 153.89 | -20% |
| Nemotron Nano 9B v2 tok/s | 91.27 | 119.94 | -24% |
| Ornith 1.5 9B tok/s | 109.71 | 138.12 | -21% |
| Gemma 4 12B tok/s | 78.94 | 96.61 | -18% |
| Qwen2.5-Coder 14B tok/s | 69.93 | 81.97 | -15% |
| Qwen3 14B tok/s | 70.88 | 87.02 | -19% |
| gpt-oss-20b tok/s | 220.65 | 265.35 | -17% |
| 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 | 61.19 | -16% |
| SDXL Turbo images/min | 484.82 | 512.76 | -5% |
| Z-Image Turbo images/min | 3.07 | 3.56 | -14% |
| Sana 1.6B images/min | 27.92 | 30.02 | -7% |
| Stable Diffusion XL images/min | 10.16 | 12.24 | -17% |
| Playground v2.5 images/min | 6.33 | 7.6 | -17% |
| PixArt-Sigma XL images/min | 14.6 | 16.22 | -10% |
| 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 | 0.452 | -16% |
| CogVideoX-2B frames/s | 0.31 | 0.361 | -14% |
| LTX-Video (distilled) frames/s | 3.705 | 4.331 | -14% |
| Stable Video Diffusion clips/min | 1.438 | 1.673 | -14% |
| Wan 2.2 5B (720p) frames/s | 0 | 0 | n/a |
| LTX-Video (image to video) clips/min | 1.873 | 2.389 | -22% |
| Wan 2.2 TI2V-5B (image to video) clips/min | 0.798 | 0.959 | -17% |
| Stable Video Diffusion XT clips/min | 0.814 | 0.935 | -13% |
| CogVideoX-5B I2V clips/min | 0.218 | 0.257 | -15% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 4080 is faster on 0 of 2; GeForce RTX 5080 on 2.
| Workflow | NVIDIA GeForce RTX 4080 | GeForce RTX 5080 | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 14.3 min | 12.2 min | GeForce RTX 5080 1.17x faster | $0.054 vs $0.045 |
| Animate a batch of images | 25.1 min | 20.9 min | GeForce RTX 5080 1.20x faster | $0.095 vs $0.078 |
Renting by the hour, GeForce RTX 5080 finishes 2 of 2 cheaper. The quicker card is not automatically the cheaper way to get the work done.
Cost to rent
| Card | Per hour |
|---|---|
| NVIDIA GeForce RTX 4080 | $0.228 |
| GeForce RTX 5080 | $0.223 |
GeForce RTX 5080 is 1.02x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA GeForce RTX 4080 | GeForce RTX 5080 | |
|---|---|---|
| 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 (GB203) |
| Memory bandwidth | 716.8 GB/s | 960 GB/s |
| Boost clock | 2,505 MHz | 2,617 MHz |
| TDP | 320 W | 360 W |
| Launch MSRP | $1,199 | $999 |
| Release | 2022-11-16 | 2025-01-30 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 4080 or GeForce RTX 5080?
- GeForce RTX 5080 performs better for ai & machine learning, winning 34 of 43 benchmarks in our suite with an average 19.2% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 4080 and GeForce RTX 5080?
- NVIDIA GeForce RTX 4080 has 16GB VRAM and a 320W TDP, while GeForce RTX 5080 has 16GB VRAM and a 360W TDP.
- Does VRAM matter more than speed between NVIDIA GeForce RTX 4080 and GeForce RTX 5080?
- For AI, yes, NVIDIA GeForce RTX 4080 fits 1 more of our 12 workloads than GeForce RTX 5080. 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 4080 and GeForce RTX 5080?
- Nemotron Nano 9B v2: GeForce RTX 5080 leads by roughly 31% (91.27 vs 119.94 tok/s) in our testing.
NVIDIA GeForce RTX 4080 full review · GeForce RTX 5080 full review · All AI & Machine Learning rankings