Sora 2 in the API pricing (2026): final rates after the shutdown

OpenAI's Sora 2 was everywhere when it launched, and for good reason. It was the text-to-video model that had creators, marketers, and developers buzzing with ideas. The videos it generated were realistic enough that it felt like the start of a whole new way to create content.

Update, October 2026: OpenAI has discontinued Sora. The web and app experiences closed on April 26, 2026, and the Sora API shut down on September 24, 2026, so the rates below are the last ones OpenAI published, kept as a record rather than a buying guide. If you need AI video today, compare current tools in my Sora 2 alternatives roundup.

The creative possibilities were huge. But for anyone planning an actual project, the most important question was pretty straightforward: what's this going to cost me? This guide walks through the official Sora 2 API pricing as it stood at the end, breaks down the per-second billing, runs some real-world cost calculations, and shows how the same budgeting logic carries over to whatever video tool you pick next.

What is OpenAI's Sora 2?

In a nutshell, Sora 2 was OpenAI's most advanced generative video model until the product was shut down. You gave it a text prompt, something like “a fluffy cat performs a triple axel on ice,” or even just a still image, and it produced a detailed, dynamic video clip.

What sets it apart from earlier models, which often felt a bit clunky or fell into the uncanny valley, is how big of a leap forward it is. Here are a few things that make it special:

• It understands physics (mostly): Objects in Sora 2 videos actually interact with their surroundings in a way that makes sense. If you ask for a basketball shot and it misses, the ball will bounce off the rim. It doesn’t just phase through it like a ghost. This small detail makes a huge difference in how believable the final video feels.

• Audio is part of the package: The model isn't just a silent film director. It can generate synchronized dialogue, sound effects, and background noise that all match what's happening on screen. This saves a ton of time you’d otherwise spend in post-production.

• You have a lot of control: You can get really specific with your instructions. Want a particular camera shot, a vintage film style, or a specific aspect ratio? You can ask for it. This makes Sora 2 a genuinely useful tool for everything from quick social media clips to planning out scenes for a bigger production.

The official Sora 2 API pricing model explained (final rates)

If you’ve used OpenAI’s other models like GPT-4, you’re probably used to thinking in terms of tokens. Well, you can throw that out the window for Sora 2. OpenAI used a per-second billing model, which is a lot more intuitive for video. You paid for the length of the video you created. Simple as that.

The final price tag depends on two main factors: which version of the model you use (standard or pro) and the video’s resolution.

Here’s the breakdown OpenAI last published, based on its API pricing page and model documentation:

So, what does that mean in practice? The standard "sora-2" model was the go-to for everyday tasks or experimenting. For a sharper, more polished look, the "sora-2-pro" model at the same resolution cost three times as much. And for the top-of-the-line, cinematic quality, the high-definition "sora-2-pro" model is five times the price of the standard one.

That structure gave buyers a lot of control, but it also meant being deliberate about which model to use for each task.

Real-world Sora 2 API pricing costs and what to watch out for

The per-second price is the starting point, but the actual cost of bringing a video idea to life usually has a few other variables. Let's make this more concrete with some examples.

Here’s what videos of different lengths would have cost:

Costs climbed fast on longer, higher-quality videos. But that wasn't the whole story. A few other costs belonged in the budget:

• The cost of do-overs: As developers working with the API have noted, you were charged for every video you generated, not just the final one you loved. If your first attempt had a visual glitch or the AI misunderstood your prompt, you paid again for the next try. This is a common headache with powerful but imperfect video models, and it applies to whichever API you move to.

• The experimentation budget: Getting your prompt just right is more of an art than a science. Expect to burn some time and money on test runs to fine-tune the style, pacing, and action. Each test is another line item on the bill.

• API rate limits: OpenAI limited how many requests you could send per minute, depending on your usage tier, so high-volume projects could hit a wall or have to move to a higher tier.

Beyond video: Picking the right AI for your business workflow

Sora 2’s API was a strong tool for creating content, but it was not plug-and-play. It needed a developer to build an integration, and its variable costs were hard to predict and manage. It's a classic example of a raw, foundational AI model, and the shutdown shows the risk of building a workflow on one.

But think about what happens after you’ve created a marketing video. Who handles the customer questions it sparks? A specialized AI platform is a better choice for operational needs than a raw generation API.

This is exactly where a tool like eesel AI comes into the picture. It’s built from the ground up to solve specific business problems, which gives you a few major advantages over wrestling with a raw API.

Predictable pricing that won't surprise you

Sora’s per-second billing meant costs could swing from one month to the next. In contrast, eesel AI sells fixed monthly credit plans: one credit covers one ticket or chat, however long, with every integration and seat included. You can start free with 100 credits, and paid plans begin at $299/month for 500 credits.

One credit covers one ticket or chat, however long it runs, and every integration and seat is included.

Get started in minutes, not months

Getting up and running with the Sora 2 API took engineering time and resources. With eesel AI, you can be live in just a few minutes without writing a single line of code. You just connect your help desk, like Zendesk, or your knowledge base, like Confluence, with a click. It's designed to be radically self-serve.

Test with confidence and no risk

Probably the biggest financial risk of using a raw API is paying for outputs that aren't good, as the do-over costs above show. eesel AI gets rid of this problem with a powerful simulation mode. You can test your AI agent on thousands of your company's past support tickets before it ever talks to a live customer. This gives you a clear and accurate forecast of its performance and your potential cost savings, all without any risk.

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Building on a raw API is a complex project. A platform like eesel AI handles that complexity for you so you can focus on the results you care about.

Final OpenAI Sora 2 API pricing table

Here's the full table of the last published Sora 2 API rates in one place. OpenAI shut the API down on September 24, 2026, so treat it as a historical reference.

Sora 2 API pricing: what it leaves behind

The Sora 2 API paired creative horsepower with a clear per-second pricing model. As we’ve seen, real-world costs were shaped by resolution, length, and the number of takes needed to nail the video.

The lasting lesson is to match the tool to the task and to avoid depending on a single raw model. For creative video, compare the current options in my Sora 2 alternatives roundup.

But for automating the critical parts of your business, like customer support, a specialized and user-friendly platform is the more efficient and dependable path. If you want an AI helpdesk teammate that joins your existing queue in minutes on fixed monthly credits, try eesel free with 100 credits.