Flux vs OpenAI: Which Image Model Should You Use?

SARAS supports two image generation providers: Flux (via Runware) and OpenAI (GPT Image). Both produce great results, but they excel in different scenarios.

Quick Comparison

| | Flux Schnell | Flux Dev | OpenAI | |---|---|---|---| | Speed | Fast | Moderate | Slower | | Credit cost | 1–1.5 credits | 1.5–2.5 credits | 3–7.5 credits | | Best for | Drafts, fast iteration | Balanced quality | Photorealistic, detailed | | Supports style presets | Yes | Yes | No | | Negative prompts | Yes | Yes | No |

Flux Schnell

The default and most credit-efficient option. Flux Schnell generates images quickly at low step counts (10–20 steps), making it ideal for:

• Testing your video concept before committing credits
• High-volume faceless content where speed matters more than perfection
• Abstract or illustrated visual styles

Flux Dev

A higher-quality variant of Flux with more detail and consistency. Good for:

• Educational content where visual accuracy matters
• Mythology or cinematic content where you want richer imagery
• Final renders after you've approved the script and voice

OpenAI (GPT Image)

OpenAI's image model produces highly detailed, photorealistic images and handles complex prompts well. Best for:

• Marketing content where image quality is critical
• Product showcases
• Any content where you need clean, professional-looking visuals

The trade-off is cost — OpenAI images use 3–7.5 credits per image depending on steps, roughly 3× more than Flux.

Our Recommendation

Start with Flux Schnell. Run your full video, review it, and if the visuals aren't quite right, switch to Flux Dev or OpenAI for the final render. This saves credits while still giving you control over final output quality.