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Sora 2 pricing starts at $0.10 per second for standard 720p video on the OpenAI API. Sora 2 Pro costs more, from $0.30 per second at 720p to $0.70 per second at 1080p. The Batch API cuts those rates in half, but jobs can take up to 24 hours.
That means a 10-second standard clip costs about $1, while a 10-second Sora 2 Pro clip at 1080p costs $7 on the standard API. Simple math, until prompt retries, longer clips, editing, and resolution upgrades join the party.
There is an important deadline, too: OpenAI discontinued the Sora consumer app on April 26, 2026, and the Sora 2 API is scheduled to sunset on September 24, 2026. For founders building video features into an app, cost planning and migration planning now need to happen together.
As Director of Product at Synergy Labs, I will help you look past headline rates and understand what Sora 2 could really cost in a scalable product workflow.

When building video generation capabilities into modern web or mobile applications, unit economics dictate product sustainability. Unlike traditional text or code generation APIs that bill based on input and output tokens, video generation compute is intrinsically tied to frame rendering, spatial resolution, and temporal duration. Consequently, OpenAI structures the Sora 2 API around a strict per-second execution rate.
Under the Official Sora 2 API documentation, billing occurs based on the total duration of video generated rather than prompt token length. Whether your prompt is five words or five hundred words, the foundational rate depends on the chosen model variant, resolution profile, and dispatch queue.
To manage server load and prevent compute starvation across infrastructure regions, OpenAI governs API access using a multi-tiered rate limit structure based on organization spending tiers. Access starts at Tier 1 and scales up to Tier 5:
Understanding these operational parameters ensures engineering teams do not encounter unexpected throttling during peak application traffic.
OpenAI bifurcates its flagship video models into two operational categories: standard Sora 2 and Sora 2 Pro. Choosing between them comes down to a balance between raw cost efficiency and broadcast-level fidelity.
Standard Sora 2 is built specifically for speed, rapid prototyping, and high-volume generation where standard definition is acceptable. It operates at a fixed resolution of 720p (offering portrait 720x1280 or landscape 1280x720 aspect ratios) at a uniform price point of $0.10 per second of generated video.
Conversely, Sora 2 Pro provides enhanced motion physics, superior prompt adherence, richer color depth, and multi-resolution output capabilities. The pricing for Sora 2 Pro scales dynamically according to pixel density:
For developers evaluating sora 2 pricing, this multi-tier model means output resolution choices heavily dictate overall infrastructure costs.
In addition to resolution variations, the underlying duration limits enforce hard boundaries on how clips can be generated. You cannot simply request a custom 3.2-second or 19.5-second output. Instead, the API requires discrete duration parameters tailored to each model family.
For standard Sora 2, supported clip lengths are limited to 4 seconds, 8 seconds, or 12 seconds. A standard 720p generation breaks down into predictable unit costs:
For Sora 2 Pro, clip length allocations expand to accommodate cinematic narrative beats, supporting 10 seconds, 15 seconds, or maximum 25-second durations. Depending on chosen resolution, single-generation costs span a wide economic spectrum:
A key capability included across both standard Sora 2 and Sora 2 Pro models is native, synchronized audio generation. The API outputs diegetic sound effects, ambient background audio, and speech directly embedded in the video container without requiring additional per-second audio processing fees.
For applications that do not demand instantaneous, real-time user feedback, OpenAI provides an official Batch API endpoint. By submitting video requests asynchronously into a deferred queue, organizations receive a flat 50% discount across all Sora 2 and Sora 2 Pro resolutions.

The primary trade-off for this massive rate reduction is latency. While real-time API calls return completed mp4 rendering links within 3 to 5 minutes, the Batch API operates under a 24-hour Service Level Agreement (SLA). The system processes jobs during off-peak compute windows across global data centers.
This makes the Batch API ideal for automated content pipelines, overnight marketing video generation, push-notification preview creation, and bulk asset rendering where real-time turnaround is unnecessary.
When utilizing the Batch API tier, every per-second rate is sliced exactly in half:
To put these savings into context, let us look at real-world generation budgets. If an enterprise app pipeline generates 1,000 15-second promotional videos per month in Sora 2 Pro 1080p full HD:
By shifting non-urgent tasks to asynchronous batch queues, product teams save $5,250 every single month on direct compute costs alone. Similarly, rendering a maximum-length 25-second Sora 2 Pro 1080p scene drops from $17.50 on the standard API down to $8.75 on the Batch tier.
Understanding how sora 2 pricing intersects with consumer access models requires reviewing OpenAI's distribution evolution throughout early 2026. Initially, OpenAI introduced standalone consumer interfaces alongside subscription bundles before streamlining operations toward dedicated enterprise APIs.
The standalone Sora consumer web platform and iOS app were officially discontinued on April 26, 2026. Since that shutdown, end-user consumer access to Sora video capabilities exists primarily through ChatGPT subscription tiers or third-party web portals utilizing underlying APIs.
For creators and founders assessing whether to use pre-built SaaS subscription access or direct API integration, key plan boundaries include:
While subscription plans work well for manual, human-driven content creation, direct integration into consumer mobile applications demands developer API keys. Direct API access provides full parameter control over aspect ratios, seed numbers, webhook status notifications, and dynamic prompt injection.
A common pitfall for product teams integrating AI video generation is calculating runway based on a theoretical single-take success rate. In reality, generative video models frequently require multiple generation attempts before achieving desired camera movement, character consistency, and prompt accuracy.
As noted in industry cost analysis, the true financial expense of generative video stems from "effective cost per usable clip" rather than raw per-second billing. If a prompt requires three iterations to fix camera motion anomalies before producing a clean deliverable, your effective cost is three times higher than the baseline rate.
To keep production spending under control, we recommend enforcing five core optimization strategies within your software architecture:
The most critical factor influencing video AI development roadmap decisions today is OpenAI's official deprecation timeline. The consumer web and iOS applications were shut down on April 26, 2026, and the Sora 2 and Sora 2 Pro APIs are officially scheduled to sunset on September 24, 2026.

Building long-term proprietary feature sets exclusively dependent on the Sora 2 API without an abstraction layer presents serious architectural risk. Software engineering teams must prepare active migration paths now to ensure uninterrupted service when the September sunset date arrives.
When transitioning away from Sora 2, consider the following migration alternatives and strategies:
For complete background on OpenAI's foundational model releases, review original launch details at Sora 2 is here | OpenAI.
No. OpenAI officially phased out free consumer app access and discontinued the standalone Sora web portal and iOS application on April 26, 2026.
Today, access is restricted to paid ChatGPT subscription tiers (ChatGPT Plus at $20/month or ChatGPT Pro at $200/month) or direct pay-as-you-go developer API usage. The developer API has never offered a free tier; organization balances must maintain positive credit top-ups to process video generation calls.
The baseline cost for a 10-second video depends heavily on the chosen model tier, output resolution, and dispatch queue:
Enterprise-grade multimodal video APIs serve as the primary alternative, offering comparable multi-modal video generation and synced audio starting between $0.03/sec and $0.40/sec.
Additionally, serverless model platforms host alternative state-of-the-art video models with pay-as-you-go per-second pricing.
Navigating the shifting landscape of generative AI models, fluctuating per-second pricing structures, and impending API sunset dates requires an experienced technical partner. At Synergy Labs, we help founders and corporate innovation teams design, build, and deploy high-performing mobile apps and web platforms powered by cutting-edge artificial intelligence.
When integrating video generation into your product ecosystem, selecting the right model is only half the battle. You need custom application architectures that intelligently route jobs between real-time and batch endpoints, enforce prompt guardrails, manage user credit quotas, and abstract backend API dependencies to insulate your business from model deprecations.
Through our specialized Transform your app with AI infusion services, we partner with clients to deliver scalable cross-platform software. We eliminate financial unpredictability through our transparent fixed-budget model and milestone-based payments, ensuring projects are completed efficiently, on time, and on budget.
Our unique operational structure pairs you directly with an in-shore CTO and senior talent who oversee an elite offshore development team. This hybrid model gives you high-level executive advice, rapid app deployment, robust security, and cost-effective development execution.
If you are looking to build video generation tools or need to transition an existing codebase away from sunsetting APIs before September 2026, we are here to help. Contact us at Synergy Labs today to schedule a consultation with our senior engineering team and bring your product vision to life.
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Nous lançons généralement les applications dans un délai de 6 à 8 semaines, en fonction de la complexité et des fonctionnalités de votre projet. Notre processus de développement rationalisé vous permet de commercialiser rapidement votre application tout en bénéficiant d'un produit de haute qualité.
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Pour les applications web, nous combinons des frameworks de mise en page frontale comme Ant Design, ou Material Design avec React. Pour le backend, nous utilisons généralement Laravel ou Yii2 pour les projets monolithiques, et Node.js pour les architectures sans serveur.
En outre, nous pouvons prendre en charge diverses technologies, notamment Microsoft Azure, Google Cloud, Firebase, Amazon Web Services (AWS), React Native, Docker, NGINX, Apache, et bien plus encore. Cet ensemble de compétences diversifiées nous permet de fournir des solutions robustes et évolutives adaptées à vos besoins spécifiques.
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