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Category

Vision

Image and document understanding as input. Models that read what you show them: screenshots, documents, charts, photographs and interfaces. Reach for vision when the input is a picture and the output is words. If you need the opposite (), that is a different category. Resolution is the cost lever here: bigger images become more .

5 models in Vision from 5 providers

R/1M tokens These models bill on input alone. Nothing is generated in return, so the output price on each card reads “—”.

Top models

Leading vision models

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  • Qwen VL Max by Alibaba Qwen
    Alibaba QwenOn request

    Qwen VL Max

    qwen/qwen-vl-max

    Vision-language specialist strong on documents, charts and OCR-heavy enterprise inputs.

    VisionVision inputTool callingStreaming

    128K ctx · Price on request

  • Kimi VL by Moonshot AI
    Moonshot AIOn request

    Kimi VL

    moonshot/kimi-vl

    Compact vision-language model for screenshot and document understanding at low cost.

    VisionVision inputStreaming

    128K ctx · Price on request

  • Hunyuan Vision by Tencent Hunyuan
    Tencent HunyuanOn request

    Hunyuan Vision

    tencent/hunyuan-vision

    Multimodal understanding tuned on ecosystem-scale image data.

    VisionVision inputStreaming

    128K ctx · Price on request

  • GLM-4V by Zhipu AI
    Zhipu AIOn request

    GLM-4V

    zhipu/glm-4v

    Vision-language member of the GLM family for grounded image understanding.

    VisionVision inputStreaming

    64K ctx · Price on request

Browse all vision models →

5 models in the directory

How to choose

Choosing a model in Vision

  1. 01

    Documents or scenes

    Document understanding (OCR, tables, forms) and natural-scene understanding are different skills. Test the one you need.

  2. 02

    Resolution costs tokens

    High-resolution image input can dominate your bill. Check how each model prices image tokens.

  3. 03

    Pair with a text model

    Many teams route vision requests to a multimodal model and everything else to a cheaper text model.