moonshot-v1-vision-preview

The Kimi visual model can understand image contents including text, colors, and object shapes.

ChineseSelectionImageImage RecognitionVisual Analysis

The Kimi visual model is an advanced image understanding technology provided by the Moonshot AI open platform. It accurately recognizes and interprets text, colors, and object shapes in images, providing users with powerful visual analysis capabilities. This model is characterized by its efficiency and accuracy, suitable for various scenarios such as image content description and visual question-answering. Its pricing is consistent with the moonshot-v1 series models, charging based on the total tokens used for model inference, with each image consuming a fixed value of 1024 tokens.

Supports multi-turn conversations
understanding and answering questions based on context.
Provides stream output for real-time result returns
enhancing user experience.
Allows for tool invocation
extending the model's application range.
Supports JSON mode for convenient data interaction and processing for developers.
Supports partial mode
permitting partial processing and responses to improve efficiency.
Does not support internet searches

The target audience includes developers
researchers
and enterprises needing image understanding capabilities. For developers
the Kimi visual model offers a powerful API interface for easy integration into various applications. Researchers can utilize this model for image analysis and studies
while enterprises can harness its efficient image processing capabilities to enhance business efficiency and user experience.

Developers use the Kimi visual model to understand images uploaded by users in an image Q&A application and provide relevant answers.
Enterprises utilize it for automated image content review
quickly identifying key information in images to improve review efficiency.
Researchers leverage this model for large-scale image data analysis and processing in image recognition studies.

1. Obtain a Moonshot API Key for authentication and API access.
2. Choose the appropriate Kimi visual model
such as moonshot-v1-8k-vision-preview.
3. Convert image files to base64 encoded strings.
4. Construct the API request

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