Sora 2
OpenAI's video model with synced sound, dialogue and physics that mostly obeys reality.
Sora 2 landed in late 2025 and changed what a video prompt buys you: not just moving pictures, but a complete audiovisual clip — dialogue with lip-sync, sound effects and ambience generated together with the footage. Its second headline is physics. Balls bounce, liquids pour, and a missed basketball shot rebounds off the backboard instead of teleporting into the hoop, which sounds trivial until you have watched older models cheat.
Sora 2's personality is energetic and social-native. Choose it over Veo 3.1 when the clip is carried by a talking character, comedic timing or dialogue — it delivers personality with startling ease. Choose Veo 3.1 instead when you need director-level control: first-and-last-frame guidance, reference images and scene extension are Veo's turf. And if you are animating a still image on a budget, Kling frequently gives more motion per token.
Be honest with your expectations: clips are seconds long, not minutes; hands and dense multi-object interactions still glitch occasionally; and OpenAI enforces strict rules around real people and copyrighted characters. The winning workflow is chaining short clips — plan one action beat per generation, then sequence them. In VAR2, Sora 2 runs inside Video Generation alongside Veo 3.1 and Kling, so you can A/B the same prompt across engines.
Strengths
- Native synchronized audio: dialogue, sound effects and ambience in one generation
- Convincing physics — motion, collisions and liquids mostly behave
- Characters with genuine personality and comedic timing
- Strong scene coherence within a clip
Best for
- Short social videos with talking characters
- Product teasers with sound designed in from the start
- Fast, fun concept previews for ads and sketches
Prompt tips
- Write dialogue explicitly in quotes and describe the voice: age, accent, energy
- One scene, one action beat per clip — chain clips instead of cramming a plot into eight seconds
- Specify shot type and mood: 'handheld close-up, excited energy' steers both camera and performance
Sample prompt
A handheld close-up of an enthusiastic street-food vendor at a night market flipping falafel balls into the air and catching them in a pita, saying "best falafel in the city!" with a wink, warm string lights, sizzling and crowd chatter in the background.