OpenAI
GPT-5
Overall score
92
OpenAI’s previous flagship reasoning model for coding, agentic tasks, and broad professional work.
reasoningcodingagentic
Context window
400K tokens
Speed
Balanced
Independent AI model and skill directory
Choose the right AI stack with less guesswork.
VerdictLens helps teams browse AI models, supporting tools, and practical use cases with clear trade-offs, official links, and structured data they can reuse.
01
29 verified AI models
02
1528 live skills with setup notes and official links
03
28 editor-reviewed picks · 547 verified listings · 953 broader directory entries
Quick shortlist snapshot
Already have finalists? Compare 2–3 side by side.
Use compare after browsing models to pressure-test pricing, speed, context window, and workflow fit in one table.
GPT-5
OpenAI
Score
92
Claude Sonnet 4.6
Anthropic
Score
92
Gemini 2.5 Pro
Google
Score
91
Start here
Three clear ways to start.
Browse by model, browse by supporting tools, or start from the job you need done. The site is now organized around those three decisions first.
Browse Models
Scan ranked models by provider, pricing, speed, and best-fit use cases.
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Browse Skills
Review the tooling layer that actually makes models useful in production.
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Start from Use Cases
Begin with the job to be done, then narrow to the right model and skill stack.
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Featured models
Browse AI models
Browse leading models with clear pricing context, speed, strengths, and visible official links.
Anthropic
Claude Sonnet 4.6
Overall score
92
Anthropic’s balanced Claude tier for broad production use, coding, and agent orchestration.
balancedcodingagents
Context window
200K tokens
Speed
Balanced
Gemini 2.5 Pro
Overall score
91
Google’s most advanced Gemini 2.5 model for complex reasoning and coding tasks.
multimodalreasoninglong-context
Context window
1M tokens
Speed
Balanced
Perplexity
Sonar Pro
Overall score
87
Perplexity’s advanced search model with deeper content understanding and enhanced search accuracy.
searchresearchgrounded
Context window
Search-context dependent
Speed
Balanced
Featured skills
Browse AI skills and tools
The tool layer often determines whether a model stays dependable in real work. These picks make that layer easier to inspect.
Coding & devtools · CLI coding agent
Codex CLI
Overall score
90
OpenAI’s terminal-first coding agent for editing code, running commands, and agentic development loops.
codingcliagent
Difficulty
Easy
Source
OpenAI docs
Memory & knowledge · Workspace knowledge access
Notion MCP
Overall score
86
Notion’s official MCP integration for exposing workspace search, pages, comments, and structured data sources to AI clients.
mcpnotionknowledge
Difficulty
Moderate
Source
Notion docs
Execution & sandboxes · Containerized MCP gateway
Docker MCP Gateway
Overall score
85
Docker’s gateway for running and brokering MCP servers in containerized, easier-to-govern environments.
dockermcpgateway
Difficulty
Moderate
Source
Docker docs
Coding & devtools · Agent skill installer and discovery CLI
Vercel Skills
Overall score
86
Vercel’s open skills CLI for discovering, installing, and managing reusable agent skills across multiple coding agents.
skillscliagentskills
Difficulty
Easy
Source
Vercel docs
Use cases
Use-case guides
Start with the job to be done, then narrow down the model and skill mix that fits your workflow.
coding
Coding copilots & repo execution
Prioritize reliability, diff quality, tool-calling control, and the ability to maintain focus across multi-file edits.
Explore guides →
research
Research synthesis & analyst workflows
Prioritize source grounding, multilingual reading, long-context reasoning, and a retrieval stack that stays inspectable.
Explore guides →
agent-automation
Agent automation & operations
Prioritize tool reliability, composability, secret handling, and robust state management across long-running flows.
Explore guides →
How scoring works
Structured enough to trust. Flexible enough to keep improving.
Model score = capability 30, use-case fit 25, cost efficiency 15, speed 10, reliability 10, agent readiness 10.
Skill score = utility 25, compatibility 20, ease of setup 15, reliability 15, docs quality 10, adoption 10, safety & maintenance 5.
Scores combine benchmark signals, product experience, and editorial weighting. Use them as a practical guide, not an absolute truth claim.
Structured data for teams and agents
Built with clean public data from day one.
Each endpoint is easy to inspect, reuse, or index—useful for websites, internal tooling, search, and AI answer engines.