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Best AI models for vision analysis

Multimodal models that read screenshots, diagrams, charts, and document layouts.

Vision is uneven across models — some excel at chart reading, others at OCR-heavy document layouts, others at UI screenshots. Most flagship LLMs now ship vision; quality differences only show up under stress (small fonts, dense diagrams, mixed languages).

Switchy's picks

  1. 1
    Anthropic: Claude Sonnet 4.5

    Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

    anthropic1000K context$3.00/Mtok in
  2. 2
    OpenAI: GPT-4.1

    GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

    openai1048K context$2.00/Mtok in
  3. 3
    Anthropic: Claude Opus 4.5

    Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

    anthropic200K context$5.00/Mtok in
  4. 4
    Google: Gemini 2.5 Pro Preview 06-05

    Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

    google1049K context$1.25/Mtok in

Other llm models

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