Direct performance comparison between the RTX 4090 Pro and RTX 3090 across 20 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4090 Pro winning 18 out of 20 benchmarks (90% win rate), while the RTX 3090 wins 2 tests. All 20 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.
In language model inference testing across 8 different models, the RTX 4090 Pro is 21% faster than the RTX 3090 on average. For gpt-oss:20b inference, the RTX 4090 Pro achieves 179 tokens/s compared to RTX 3090's 144 tokens/s, making the RTX 4090 Pro significantly faster with a 24% advantage. Overall, the RTX 4090 Pro wins 8 out of 8 LLM tests with an average 21% performance difference, making it the stronger choice for transformer model inference workloads.
Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 4090 Pro is 260% faster than the RTX 3090 in this category. When testing sd3.5-medium, the RTX 4090 Pro completes generations at 6.1 s/image compared to RTX 3090's 31 s/image, making the RTX 4090 Pro substantially faster with a 408% advantage. Across all 12 image generation benchmarks, the RTX 4090 Pro wins 10 tests with an average 260% performance difference, establishing it as the preferred GPU for Stable Diffusion, SDXL, and Flux deployments.
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Our benchmarks are collected automatically from servers having gpus of type RTX 4090 Pro and RTX 3090 in our fleet using standardized test suites:
Note: RTX 4090 Pro and RTX 3090 AI Benchmark Results may vary based on system load, configuration, and specific hardware revisions. These benchmarks represent median values from multiple test runs of RTX 4090 Pro and RTX 3090.
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