RTX 3090 vs RTX 4090 Pro - GPU Benchmark Comparison

Direct performance comparison between the RTX 3090 and RTX 4090 Pro across 20 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 3090 winning 2 out of 20 benchmarks (10% win rate), while the RTX 4090 Pro wins 18 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 17% slower

In language model inference testing across 8 different models, the RTX 3090 is 17% slower than the RTX 4090 Pro on average. For gpt-oss:20b inference, the RTX 3090 reaches 144 tokens/s while the RTX 4090 Pro achieves 179 tokens/s, making the RTX 3090 significantly slower with a 20% deficit. Overall, the RTX 3090 wins 0 out of 8 LLM tests with an average 17% performance difference, making the RTX 4090 Pro the better option for LLM inference tasks.

Image Generation Performance: RTX 3090 54% slower

Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 3090 is 54% slower than the RTX 4090 Pro in this category. When testing sd3.5-medium, the RTX 3090 completes generations at 31 s/image while the RTX 4090 Pro achieves 6.1 s/image, making the RTX 3090 substantially slower with a 80% deficit. Across all 12 image generation benchmarks, the RTX 3090 wins 2 tests with an average 54% performance difference, making the RTX 4090 Pro the better choice for Stable Diffusion, SDXL, and Flux workloads.

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