GPT-IMAGE-2 hype hits fal

The quality jump looks real enough to matter, but the "ever recorded" framing is community hype until OpenAI publishes benchmarks or a system card.

• –fal positions GPT Image 2 around complex prompt adherence, fine typography, image editing with masks, custom resolutions, and commercial use
• –Text rendering is the key developer unlock: infographics, UI mockups, product packaging, and multilingual creative assets get much closer to usable first drafts
• –Pricing from fal ranges from low-cost 1024px generations to high-quality 4K outputs, making it practical to test in production pipelines
• –Treat early Reddit comparisons cautiously because model routing, preview access, and undocumented variants can make results hard to reproduce