Direct performance comparison between the RTX 4090 and RTX 4070 Ti Super across 17 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4090 winning all 17 out of 17 benchmarks, while the RTX 4070 Ti Super has no wins. All benchmark results are automatically gathered from active rental servers, providing real-world performance data.
For production API servers and multi-agent AI systems running multiple concurrent requests, the RTX 4090 is 188% faster than the RTX 4070 Ti Super (median across 2 benchmarks). For nvidia/Llama-3.1-8B-Instruct-FP8, the RTX 4090 achieves 649 tokens/s vs RTX 4070 Ti Super's 230 tokens/s (182% faster). The RTX 4090 wins 2 out of 2 high-throughput tests, making it the stronger choice for production chatbots and batch processing.
For personal AI assistants and local development with one request at a time, the RTX 4090 is 50% faster than the RTX 4070 Ti Super (median across 3 benchmarks). Running qwen3:8b, the RTX 4090 generates 149 tokens/s vs RTX 4070 Ti Super's 99 tokens/s (50% faster). The RTX 4090 wins 3 out of 3 single-user tests, making it ideal for personal coding assistants and prototyping.
For Stable Diffusion, SDXL, and Flux workloads, the RTX 4090 is 91% faster than the RTX 4070 Ti Super (median across 8 benchmarks). Testing sd1.5, the RTX 4090 completes at 0.85 s/image vs RTX 4070 Ti Super's 1.7 s/image (98% faster). The RTX 4090 wins 8 out of 8 image generation tests, making it the preferred GPU for AI art and image generation.
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Our benchmarks are collected automatically from servers having GPUs of type RTX 4090 and RTX 4070 Ti Super in our fleet. Unlike synthetic lab tests, these results come from real production servers handling actual AI workloads - giving you transparent, real-world performance data.
We test both vLLM (High-Throughput) and Ollama (Single-User) frameworks. vLLM benchmarks show how RTX 4090 and RTX 4070 Ti Super perform with 16-64 concurrent requests - perfect for production chatbots, multi-agent AI systems, and API servers. Ollama benchmarks measure single-request speed for personal AI assistants and local development. Models tested include Llama 3.1, Qwen3, DeepSeek-R1, and more.
Image generation benchmarks cover Flux, SDXL, and SD3.5 architectures. That's critical for AI art generation, design prototyping, and creative applications. Focus on single prompt generation speed to understand how RTX 4090 and RTX 4070 Ti Super handle your image workloads.
We also include CPU compute power (affecting tokenization and preprocessing) and NVMe storage speeds (critical for loading large models and datasets) - the complete picture for your AI workloads.
Note: Results may vary based on system load and configuration. These benchmarks represent median values from multiple test runs.
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