Sora: what it is and how to get access

If video generation has an iconic model that it all started with in the public mind, it's Sora from OpenAI. Its clips once proved a neural network can do cinema: long coherent scenes, convincing physics, camera work. Many come to the field wanting "to do it like Sora" — and run into two things: access and cost. Let's cover both. And on access right away: while Sora stays "behind glass", you can assemble similar scenes in the Twelver chat.

What makes Sora stand out

• Coherence and length. Sora holds a single world in the frame longer than others — the face, light and objects don't "fall apart" as quickly.
• Physics and camera. Natural movement, believable "camera operator" work, cinematic depth.
• Understanding of complex prompts. It holds a scene with several elements and a set direction well.

The price is its closedness and cost: access is limited and the cost of a generation is high.

Access and price

Honestly about the barrier. Sora runs in the OpenAI ecosystem, requires a suitable subscription, and the rollout has been gradual and capacity-limited. For many that's the reason "Sora level" stays behind glass.

So the practical question isn't "is Sora better overall", it's "is the result worth the effort and cost for your specific task". For demanding production — sometimes yes. For most clips a comparable result is assembled with more accessible models (Kling and others).

How to use it: the basics

1. You need a suitable OpenAI subscription.
2. Write the prompt in English — the model understands English better; any chat assistant easily translates other languages.
3. The same principles of a good video prompt: scene + one movement + camera + light + style.
4. Control length, format and camera movement with the interface parameters.

Enter a prompt — and get a cinematic result without queues or a separate setup.

Who it's for

Sora is for those for whom maximum coherence and cinematic quality are critical and who are happy to handle the access: production, advertising, visually demanding projects. If access and price are a blocker, don't worry: the gap to accessible models is shrinking fast, and for most tasks it's no longer critical.

What's next

From the more closed benchmark we'll move to a model that's much more accessible — Kling.

In the Twelver chat you can write a prompt and get the cinematic result of strong models without a separate setup — all in one conversation.