vision-language-models
GPT-5/4o, Claude 4.5, Gemini 2.5/3, Grok 4 vision patterns for image analysis, document understanding, and visual QA. Use when implementing image captioning, document/chart analysis, or multi-image comparison.
npx skills add majiayu000/claude-skill-registry --skill vision-language-models --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Vision Language Models (2026) Integrate vision capabilities from leading multimodal models for image understanding, document analysis, and visual reasoning. ## When to Use - Image captioning and description generation - Visual question answering (VQA) - Document/chart/diagram analysis with OCR - Multi-image comparison and reasoning - Bounding box detection and region analysis - Video frame analysis ## Model Comparison (January 2026) | Model | Context | Strengths | Vision Input | |-------|---------|-----------|--------------| | **GPT-5.2** | 128K | Best general reasoning, multimodal | Up to 10 images | | **Claude Opus 4.5** | 200K | Best coding, sustained agent tasks | Up to 100 images | | **Gemini 2.5 Pro** | 1M+ | Longest context, video analysis | 3,600 images max | | **Gemini 3 Pro** | 1M | Deep Think, 100% AIME 2025 | Enhanced segmentation | | **Grok 4** | 2M | Real-time X integration, DeepSearch | Images + upcoming video | ## Image Input Methods ### Base64 Encoding (All Providers) ```python import base64 import mimetypes def encode_image_base64(image_path: str) -> tuple[str, str]: """Encode local image to base64 with MIME type.""" mime_type, _ = mimetypes.guess_type(image_pat
- When to Use
- Model Comparison (January 2026)
- Image Input Methods
- Base64 Encoding (All Providers)
- OpenAI GPT-5/4o Vision
- Claude 4.5 Vision (Anthropic)
- Gemini 2.5/3 Vision (Google)
- Grok 4 Vision (xAI)
- Multi-Image Analysis
- Object Detection (Gemini 2.5+)
- Token Cost Optimization
- Image Size Limits (2026)
- Key Decisions
- Common Mistakes
What does the vision-language-models skill do?
GPT-5/4o, Claude 4.5, Gemini 2.5/3, Grok 4 vision patterns for image analysis, document understanding, and visual QA. Use when implementing image captioning, document/chart analysis, or multi-image comparison.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill vision-language-models --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.