AI Capability Explorer
Interactive visualization of coding, reasoning, vision, audio, multilingual support, tool calling, structured output, streaming, prompt caching, web search, and context length across 40+ models. Filter by capability and see which models match.
Filter by Capability
Matching Models
Capability Definitions
| Capability | What It Means | Why It Matters |
|---|---|---|
| Vision | Model accepts images as input | OCR, chart reading, UI analysis, multimodal chat |
| Reasoning | Model produces hidden chain-of-thought tokens | Higher accuracy on math, logic, coding at cost of latency |
| Tool Calling | Model can call external functions | Agents, API orchestration, dynamic data retrieval |
| Parallel Tools | Model calls multiple tools in one turn | Faster agentic workflows, fewer round-trips |
| Structured Output | Model returns JSON matching a schema | Reliable parsing, downstream automation, data extraction |
| Streaming | Model streams tokens as generated | Lower TTFT perceived latency, better UX |
| Prompt Caching | Provider caches prompt prefixes | 50-90% cost reduction for repeated context |
| Web Search | Model can search the web | Real-time information, citations, current events |
| Audio Input | Model accepts audio | Transcription, voice chat, meeting analysis |
| Audio Output | Model generates audio | Voice assistants, TTS, accessibility |
| PDF Input | Model parses PDF documents | Document Q&A, contract review, research |
| Multilingual | Strong non-English performance | Translation, localization, global products |
FAQ
Which AI models support vision?
GPT-4o, GPT-4.1, GPT-5, o3, o4-mini, Claude 3.5 Sonnet, Claude 4 family, Gemini 2.0/2.5 family, and Grok 4 all support vision (image input). Filter by "Vision" above to see all.
Which AI models support tool calling?
Most modern models support tool calling: GPT-4o, GPT-4.1, GPT-5, o3, o4-mini, Claude 3.5+, Gemini 2.0+, DeepSeek V3, Mistral Large, Llama 3.3, Qwen 2.5, Command R+, Grok 4. DeepSeek R1 does not support tool calling.
Which AI models have the longest context window?
Gemini 2.5 Pro/Flash and Gemini 2.0 Flash/Flash Lite lead with 1M tokens. GPT-4.1 family offers 1M. Claude Sonnet 4 offers 1M. Most others are 128K-272K.
What is the capability score?
The percentage of 12 tracked capabilities a model supports. A score of 100% means the model supports all tracked capabilities. Higher is more versatile but not necessarily better for your specific use case.