RTX A4000 vs RTX 4070 Ti Super - GPU Benchmark Comparison

Direct performance comparison between the RTX A4000 and RTX 4070 Ti Super across 16 standardized AI benchmarks collected from our production fleet. Testing shows the RTX A4000 winning 8 out of 16 benchmarks (50% win rate), while the RTX 4070 Ti Super wins 8 tests. All benchmark results are automatically gathered from active rental servers, providing real-world performance data.

vLLM High-Throughput Inference: RTX A4000 32% slower

For production API servers and multi-agent AI systems running multiple concurrent requests, the RTX A4000 is 32% slower than the RTX 4070 Ti Super (median across 1 benchmarks). For Qwen/Qwen3-4B, the RTX A4000 reaches 165 tokens/s while RTX 4070 Ti Super achieves 243 tokens/s (32% slower). The RTX A4000 wins none out of 1 high-throughput tests, making the RTX 4070 Ti Super better suited for production API workloads.

Ollama Single-User Inference: RTX A4000 32% slower

For personal AI assistants and local development with one request at a time, the RTX A4000 is 32% slower than the RTX 4070 Ti Super (median across 3 benchmarks). Running qwen3:8b, the RTX A4000 generates 67 tokens/s while RTX 4070 Ti Super achieves 99 tokens/s (32% slower). The RTX A4000 wins none out of 3 single-user tests, making the RTX 4070 Ti Super the better choice for local AI development.

Image Generation: RTX A4000 roughly equal performance

For Stable Diffusion, SDXL, and Flux workloads, both the RTX A4000 and RTX 4070 Ti Super perform nearly identically across 8 benchmarks. Testing sd3.5-medium, the RTX A4000 completes at 1.3 images/min vs RTX 4070 Ti Super's 0.98 images/min (36% faster). The RTX A4000 wins 4 out of 8 image generation tests, showing both GPUs are equally suitable for image generation.

About These Benchmarks of RTX A4000 vs RTX 4070 Ti Super

Our benchmarks are collected automatically from servers having GPUs of type RTX A4000 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.

LLM Inference Benchmarks

We test both vLLM (High-Throughput) and Ollama (Single-User) frameworks. vLLM benchmarks show how RTX A4000 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

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 A4000 and RTX 4070 Ti Super handle your image workloads.

System Performance

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.