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OpenAI Sora 2: realistic text-to-video with native audio and dialogue
Sora 2 pairs photoreal motion with synchronized audio, sound effects and spoken dialogue in a single generation.
Sora 2 is OpenAI's flagship text-to-video model, and its defining feature is that sound arrives baked in: dialogue, ambient noise and sound effects are generated alongside the picture rather than added in post. That makes it one of the few models where a finished clip needs no separate audio pass.
The model is strongest on physical realism — objects that fall, splash, collide and interact behave believably — and on portrait-native output for vertical platforms. In practice creators reach for it on short-form content with sound and on hero shots where physics sells the scene.
Access has shifted over 2026 as OpenAI reorganised its consumer video offering, so the exact route to Sora 2 (ChatGPT tiers versus API) is worth confirming on OpenAI's own pages before you build a workflow around it. Whatever the entry point, the pricing logic on ClipBudget stays the same: your real spend is list rate times your retake ratio.
What it costs: Typically billed per second of generated video on the standard tier, with a higher-fidelity Pro tier. Price your own project in the cost-per-usable-second calculator, or see the full breakdown on the pricing page.
Where it fits
Every model on this list wins at something different, and the smart workflow mixes them: draft on a cheap tier, render heroes on a premium one, and match the model to the shot. See how OpenAI stacks up against the rest in our full model comparison, or browse all coverage on the AI video news hub.