Flux 2 Pro represents Black Forest Labs' flagship offering in the FLUX.2 family. It's designed for users who prioritize maximum image quality over speed or cost. The Pro model uses more inference steps and larger model weights to produce images with exceptional detail, coherence, and photorealistic rendering. As a premium model, it sits in the same tier as models like Ideogram V3 and Recraft V3.
Flux 2 Dev Turbo takes a fundamentally different approach. Created by PrunaAI through a process called distillation, this model achieves good results in just 4-8 inference steps compared to the Pro's full inference pipeline. The result is generation times around 4x faster and costs roughly 75% lower than Pro.
The ELO scores tell an interesting story: Pro scores ~1170 while Dev Turbo achieves ~1159. This 11-point difference is relatively small in practical terms, suggesting that for many use cases the quality gap may be less significant than the speed and cost advantages. However, ELO scores aggregate across many prompt types —specific scenarios may show larger differences.
This comparison is particularly relevant for teams balancing quality requirements against operational costs. The 4x price difference means that for every image you generate with Pro, you could generate nearly four with Dev Turbo. Understanding where that quality premium matters—and where it doesn't—can significantly impact both your budget and workflow efficiency.
Note: Both models support image-to-image generation. Flux 2 Pro appears in ImageGPT's "quality/high" route for maximum quality, while Dev Turbo is used in the "quality/fast" route for speed-optimized workflows.