Comparing NVIDIA GeForce RTX 3080 Ti vs. 4070
Below you can compare the latest GPU-s across multiple benchmarks. Explore detailed graphs, performance scores, and rankings to quickly find the model that best suits your workflow and creative needs.
Verdict
The RTX 3080 Ti and the RTX 4070 are equally fast
Averaged over 4 rendering benchmarks, the RTX 3080 Ti leads in 3 of them. The biggest gap is in Cinebench 2024, where the RTX 4070 scores 17% higher.
OctaneBench 2025
Octane render farm arrow_forwardCinebench 2024
Redshift render farm arrow_forwardV-Ray benchmark
V-Ray render farm arrow_forwardBlender benchmark
Blender render farm arrow_forwardPrice and value
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Estimated with our live price calculator for 250 frames. Local times scale with OctaneBench 2025 scores; farm times assume enough free nodes. From €48.00 on Sapphire.
Ranking by benchmarks
OctaneBench 2025
Cinebench 2024
V-Ray benchmark
Blender benchmark
Specifications
| Model | GeForce RTX 3080 Ti | GeForce RTX 4070 Ti |
|---|---|---|
| Manufacturer | nVidia | nVidia |
| Year | June 2021 | January 2023 |
| Code Name | Ampere GA102-225-A1 | AD104-400-A1 |
| Memory | 12288 MB | 12288 MB |
| Core Speed | 1365 MHz | 2310 MHz |
| Memory Speed | 1188 GB/s | 1313 GB/s |
| Power (Max TDP) | 350 watts | 285 watts |
| Bandwidth | 934297 MB/sec | 516096 MB/sec |
| Texel Rate | 436800 Mtexels/sec | 554400 Mtexels/sec |
| Pixel Rate | 152880 Mpixels/sec | 184800 Mpixels/sec |
| Unified Shaders | 10240 | 7680 |
| Texture Mapping Units | 320 | 240 |
| Render Output Units | 112 | 80 |
| Bus Type | GDDR6X | GDDR6X |
| Bus Width | 384-bit | 192-bit |
| Fab Process | 8 nm | 4 nm |
| Transistors | 28300 million | 35800 million |
| Bus | PCIe 4.0 x16 | PCIe 4.0 x16 |
| DirectX Version | DirectX 12 | DirectX 12 |
| OpenGL Version | OpenGL 4.6 | OpenGL 4.6 |
Methodology
Our data above is compiled from multiple sources:
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Our own benchmarks: We conduct extensive testing with the GPU and CPU models we use on the farm. Over the past 10 years we have tested over 1,000 GPUs and 500 CPUs.
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Model scores: Once we have two or more benchmarks for a device we can perform some machine learning computations to estimate a realistic score in any of the other benchmarks we list. These are always marked with an asterisk (*), and while usually accurate shouldn't be taken as the complete truth.
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Public benchmark data: We may supplement our dataset with scores from public OctaneBench, V-Ray Benchmark and Blender Benchmark websites. We cannot test every device available ourselves, so this gives us a nice alternative to get You the results you are looking for.
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