Pika Labs • video
Interface mais acessível com resultado profissional. Forte em vídeos estilo viral/social media.
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Pika 2.1 is an AI model developed by Pika Labs, classified as a video model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Pika Labs's cloud API.
Pika 2.1 does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Pika Labs's official website for up-to-date availability and pricing.
We don't have detailed benchmark results for Pika 2.1 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.
Pika 2.1 specializes in video, offering advanced capabilities for creating and processing video content.
In the 2026 AI model ecosystem, Pika 2.1 competes directly with similarly capable models. Pika Labs competes in this segment against OpenAI, Anthropic, Google, and Meta. 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.
Pika 2.1 is an AI model developed by Pika Labs. It is a video model.
Pika 2.1 does not have public per-token pricing available at this time. Check Pika Labs's official website for up-to-date information.
We don't have detailed benchmarks for Pika 2.1 yet. Check the main benchmark page to compare available models.
No, Pika 2.1 is a proprietary model from Pika Labs. It is available via cloud API. For open source alternatives, check our open source model ranking.
Pika 2.1 excels at general-purpose language tasks.
Last updated: May 20, 2026 • View methodology →