OpenAI • video
Modelo de geração de vídeo da OpenAI com maior coerência física e movimento de câmera. Disponível no ChatGPT Plus.
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Sora is an AI model developed by OpenAI, classified as a video model. It focuses on text processing and natural language generation. As a proprietary model, it is available via OpenAI's cloud API.
Sora does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check OpenAI's official website for up-to-date availability and pricing.
We don't have detailed benchmark results for Sora yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Sora specializes in video, offering advanced capabilities for creating and processing video content.
In the 2026 AI model ecosystem, Sora competes directly with similarly capable models. Key competitors include Claude (Anthropic), Gemini (Google), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Sora is an AI model developed by OpenAI. It is a video model.
Sora does not have public per-token pricing available at this time. Check OpenAI's official website for up-to-date information.
We don't have detailed benchmarks for Sora yet. Check the main benchmark page to compare available models.
No, Sora is a proprietary model from OpenAI. It is available via cloud API. For open source alternatives, check our open source model ranking.
Sora excels at general-purpose language tasks.
Last updated: May 20, 2026 • View methodology →

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