Direct performance comparison between the RTX 3090 and RTX 4090 across 20 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 3090 winning 0 out of 20 benchmarks (0% win rate), while the RTX 4090 wins 20 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 3090 is 17% slower than the RTX 4090 on average. For gpt-oss:20b inference, the RTX 3090 reaches 144 tokens/s while the RTX 4090 achieves 181 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 the better option for LLM inference tasks.
Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 3090 is 28% slower than the RTX 4090 in this category. When testing flux-schnell, the RTX 3090 completes generations at 21 s/image while the RTX 4090 achieves 13 s/image, making the RTX 3090 significantly slower with a 39% deficit. Across all 12 image generation benchmarks, the RTX 3090 wins 0 tests with an average 28% performance difference, making the RTX 4090 the better choice for Stable Diffusion, SDXL, and Flux workloads.
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Our benchmarks are collected automatically from servers having gpus of type RTX 3090 and RTX 4090 in our fleet using standardized test suites:
Note: RTX 3090 and RTX 4090 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 3090 and RTX 4090.
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