# Best AI resources for frontier model selection

Canonical URL: https://learnetto.com/ai-guides/best-ai-resources-for-frontier-model-selection
Markdown URL: https://learnetto.com/ai-guides/best-ai-resources-for-frontier-model-selection.md
Last updated: 2026-07-22
Source: Learnetto AI learning directory

## Summary
Choose between GPT, Claude, Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, Perplexity, and routed model catalogs without guessing.

Topics: frontier models, model selection, gpt-5.6, claude, gemini, openrouter

## Short answer
- **Best OpenAI primary source:** OpenAI compare models. Official OpenAI model comparison page. Use it before swapping OpenAI models in coding, agent, or product workflows.
- **Best Claude primary source:** Claude choosing a model. Official Anthropic model-selection guidance. Use it to compare speed, capability, and cost across Claude model families.
- **Best multi-provider catalog:** OpenRouter models guide. OpenRouter catalog for comparing model families across providers. Use it when you need a broad view before testing prompts yourself.

## Model selection needs tests, not vibes
Frontier model comparisons change constantly, and generic leaderboards rarely match your product. The right process is to start with official model docs, choose two or three candidates, and test them on your actual tasks.
Right now the official docs are especially useful because they surface concrete shifts: OpenAI points users to current GPT-5.6 guidance and compare-model workflows, Anthropic's docs pair the current Claude family with live model pages and Academy material, Gemini's docs now span current model tables plus a GA Interactions API, pricing, Deep Research, and deprecations, and DeepSeek's pricing page spells out the migration from `deepseek-chat` and `deepseek-reasoner` aliases to DeepSeek V4 Flash modes. Start there, then run your own evals for quality, latency, cost, tool use, structured output, and failure behavior.

## Do not migrate because a model is famous
A stronger model on paper can be worse for a workflow if it is slower, more expensive, weaker at structured output, less reliable with tools, or harder to operate within your system. Model choice is an engineering and product decision.
The best resources for this topic are primary sources and repeatable tests. Blog posts and screenshots can be useful for discovery, but production migration should depend on current docs and your own task set.

## Recommended resources
1. [AI Skills for Real Engineers](https://www.aihero.dev/skills) - Skills catalog by Matt Pocock; level: Intermediate. You want a reusable skill system for agentic coding, including /grill-me, /grill-with-docs, /to-prd, /to-issues, /tdd, /triage, /handoff, /prototype, and review workflows.
2. [The AI Engineer Roadmap](https://www.aihero.dev/ai-engineer-roadmap) - Free tutorial by Matt Pocock; level: Beginner to intermediate. You want a guided path through core AI concepts, model selection, the AI engineering mindset, evals, and techniques for improving LLM-powered apps.
3. [Model Context Protocol Tutorial](https://www.aihero.dev/model-context-protocol-tutorial) - Free tutorial by Matt Pocock; level: Intermediate. You want to understand MCP and build TypeScript MCP servers over stdio or HTTP, connect Claude Code to tools, use MCP prompts, and package servers for distribution.
4. [AI Coding Dictionary](https://www.aihero.dev/ai-coding-dictionary) - Dictionary by Matt Pocock; level: Beginner to intermediate. You want plain-English definitions for agentic coding concepts such as context windows, tools, MCP, handoffs, skills, subagents, feedback loops, and agent-ready work.
5. [Learn Anything With My /teach Skill](https://www.aihero.dev/learn-anything-with-my-teach-skill) - Guide / Claude skill by Matt Pocock; level: Beginner to intermediate. You want Claude to act as a personalized teacher that creates a learning mission, finds resources, generates interactive lessons, quizzes you, and keeps progress records.
6. [5 Agent Skills I Use Every Day](https://www.aihero.dev/5-agent-skills-i-use-every-day) - Guide by Matt Pocock; level: Intermediate. You want a practical entry point into Matt's everyday agent skills and how they fit into real software work.
7. [Real-world feature build with Claude Code: every step explained](https://www.aihero.dev/real-world-feature-build-with-claude-code) - Walkthrough by Matt Pocock; level: Intermediate. You want to see a real feature built with Claude Code from context gathering through implementation, verification, and iteration.
8. [My Skill Makes Claude Code GREAT At TDD](https://www.aihero.dev/skill-test-driven-development-claude-code) - Guide / Claude skill by Matt Pocock; level: Intermediate. You want an agent workflow that implements behavior with a red, green, refactor loop instead of jumping straight to broad code changes.
9. [triage: Turn Backlog Mess Into Agent-Ready Work](https://www.aihero.dev/burn-through-your-backlog-with-my-triage-skill) - Guide / Claude skill by Matt Pocock; level: Intermediate. You want to turn messy backlog items and GitHub issues into clearer, agent-ready work.
10. [grill-with-docs: Align Before You Build](https://www.aihero.dev/grill-with-docs) - Guide / Claude skill by Matt Pocock; level: Intermediate. You want an AI interview process that uses docs and domain language to clarify a feature before implementation starts.
11. [handoff: Move Context Between Agent Sessions](https://www.aihero.dev/skills-handoff) - Guide / Claude skill by Matt Pocock; level: Intermediate. You need to preserve useful context across agent sessions without dragging an overloaded conversation forward.
12. [MCP: Build Rich-Context AI Apps with Anthropic](https://www.deeplearning.ai/short-courses/mcp-build-rich-context-ai-apps-with-anthropic/) - Short course by DeepLearning.AI; level: Intermediate. You want a hands-on MCP course for connecting tools, context, and Claude-powered apps.

## Educators and sources
- [Simon Willison](https://learnetto.com/ai-educators/simon-willison) - Developers, technical generalists. Skills: LLM tools, Prompting, AI safety, Local models, Model selection.
- [Matt Pocock](https://learnetto.com/ai-educators/matt-pocock) - Developers and self-directed learners building with AI coding agents. Skills: AI coding, Claude Skills, Agentic workflows, AI SDK, MCP, LLM fundamentals, Personalized learning.
- [Jack Roberts](https://learnetto.com/ai-educators/jack-roberts) - Automation builders, agency owners, freelancers. Skills: AI automation, Claude Code, Client workflows, AI services.
- [AI Operators Club](https://learnetto.com/ai-educators/ai-operators-club) - Operators, founders, business builders. Skills: AI operations, Claude, GoHighLevel, Automation, Business systems.
- [Jam Anderson](https://learnetto.com/ai-educators/jam-anderson) - Entrepreneurs, small business owners, non-technical learners. Skills: ChatGPT, Claude, AI agents, Small business AI.
- [Pietro Montaldo](https://learnetto.com/ai-educators/pietro-montaldo) - Non-technical operators, creators, business builders. Skills: Claude Skills, Claude Code, AI workflows, Business automation.
- [Claude Code and Tech Foundations for Product Managers](https://learnetto.com/ai-educators/claude-code-and-tech-foundations-for-product-managers) - Product managers, product leaders, non-technical PMs. Skills: Claude Code, Technical foundations, AI product work, PM workflows.
- [Agentic AI Product Management Certification](https://learnetto.com/ai-educators/agentic-ai-product-management-certification) - Product managers, product owners, non-technical AI professionals. Skills: Agentic AI, Product management, Claude Code, AI product workflows.
- [Hands-on Agentic AI for Leaders](https://learnetto.com/ai-educators/hands-on-agentic-ai-for-leaders) - Leaders, executives, managers. Skills: Agentic AI, AI assistants, Leadership workflows, Prompt refinement.
- [AI Coding for Product Managers](https://learnetto.com/ai-educators/ai-coding-for-product-managers) - Product managers, founders, non-engineering product builders. Skills: Claude Code, AI prototyping, Product shipping, PM workflows.
- [Cole Medin](https://learnetto.com/ai-educators/cole-medin) - Developers, automation builders, AI learners who want practical workflows. Skills: AI agents, RAG, Local AI, n8n, Claude Code.

## Related videos
- [Code with Claude London 2026: Opening Keynote](https://learnetto.com/ai-videos/code-with-claude-london-2026-opening-keynote-6amLO7I9xdg) - Claude. Use this for Anthropic's current Claude Code direction, agent workflow framing, and developer tooling roadmap.
- [Google's AI endgame is here... everything you missed at I/O 2026](https://learnetto.com/ai-videos/google-s-ai-endgame-is-here-everything-you-missed-at-i-o-2026-9OQ5vaYbGV0) - Fireship. Use this as a fast technical recap of Google I/O 2026 and the Gemini-era product/model changes worth tracking.
- [The Agentic Engineer Workflow You Need In 2026](https://learnetto.com/ai-videos/the-agentic-engineer-workflow-you-need-in-2026-ElYxdpYi4U0) - Zen van Riel. Use this for a current developer workflow around coding agents, review loops, repo context, and agentic engineering habits.
- [How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins](https://learnetto.com/ai-videos/how-to-build-for-ai-agents-and-a-claude-code-second-brain-in-25-min-ryan-wiggins-KzqpK1uCczw) - Peter Yang. Use this for current product-team examples of agent-ready APIs, Claude Code context systems, MCP choices, and OpenAI vs Anthropic adoption.
- [Claude Code: Build Your First AI Agent](https://learnetto.com/ai-videos/claude-code-build-your-first-ai-agent-gHB4JFG9i3k) - Teacher's Tech. Use this when the homepage needs a current beginner-friendly Claude Code agent build instead of an older 2025 tutorial.
- [Claude Code beginner's tutorial](https://learnetto.com/ai-videos/claude-code-beginner-s-tutorial-GepHGs_CZdk) - Peter Yang. Peter Yang: coding agents, claude code, coding, developer tools
- [The last six months in LLMs in five minutes](https://learnetto.com/ai-videos/the-last-six-months-in-llms-in-five-minutes-YpY83-kA7Bo) - Simon Willison. Simon Willison: llm tools, local models, ai engineering, coding
- [Claude AI fluency](https://learnetto.com/ai-videos/claude-ai-fluency-JpGtOfSgR-c) - Anthropic. Anthropic: claude, prompting, ai literacy, workflows

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