Sora 2 vs. Veo 3 (2025): An Objective, Professional Comparison (nano-banana.pro)

OpenAI’s Sora 2 and Google DeepMind’s Veo 3 are now the two headline text-to-video systems, but they target different workflows. Sora 2 ships with a TikTok-style, invite-only iOS app (U.S./Canada) that produces ~10-second AI clips (the web editor supports up to 20s and 1080p), adds native dialogue/SFX, and—critically—introduces Cameos: a consent-first likeness flow where users upload a short verification capture to grant/revoke permission for others to co-star. OpenAI emphasizes improved physics, prompt fidelity, moderation limits on public figures, and participation in C2PA provenance metadata. Veo 3 focuses on production-grade outputs and platform integration (Gemini, AI Studio/Flow, YouTube). It also delivers native audio, stronger shot-to-shot control and physics, and supports 16:9/9:16 formats up to 4K (YouTube Shorts is rolling out an 8s Veo-powered text-to-video feature). Google applies SynthID watermarking and has cut API prices to encourage broader experimentation. The practical takeaway: both now do synchronized audio, better physics and prompt adherence, but choose Sora 2 for rapid, people-centric social remixing with explicit consent UX; choose Veo 3 for higher-resolution masters, pipeline control and platform embedding. For projects, define resolution and aspect needs up front, prototype in short beats (8–10s), keep provenance enabled, and favor Sora’s cameo flow when real likenesses are involved.