RTX 3090 vs RTX 4080 Super Pro - GPU Benchmark Comparison

Direct performance comparison between the RTX 3090 and RTX 4080 Super Pro across 20 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 3090 winning 9 out of 20 benchmarks (45% win rate), while the RTX 4080 Super Pro wins 11 tests. All 20 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.

LLM Inference Performance: RTX 3090 roughly equal performance

In language model inference testing across 8 different models, the RTX 3090 performs nearly identically to the RTX 4080 Super Pro, with less than 10% average difference. For qwen3-coder:30b inference, the RTX 3090 reaches 132 tokens/s while the RTX 4080 Super Pro achieves 158 tokens/s, making the RTX 3090 noticeably slower with a 16% deficit. Overall, the RTX 3090 wins 7 out of 8 LLM tests with an average 11% performance difference, making it the stronger choice for transformer model inference workloads.

Image Generation Performance: RTX 3090 35% slower

Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 3090 is 35% slower than the RTX 4080 Super Pro in this category. When testing sd3.5-large, the RTX 3090 completes generations at 71 s/image while the RTX 4080 Super Pro achieves 24 s/image, making the RTX 3090 substantially slower with a 67% deficit. Across all 12 image generation benchmarks, the RTX 3090 wins 2 tests with an average 35% performance difference, making the RTX 4080 Super Pro the better choice for Stable Diffusion, SDXL, and Flux workloads.

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