AI learning guide

Best AI resources for frontier model selection

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

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.

Use OpenAI, Anthropic, Gemini, and OpenRouter docs to understand current capabilities and constraints. 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 courses and resources

  1. The AI Engineer Roadmap

    Free tutorial · Matt Pocock · 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.

  2. OpenAI model guide

    Model docs · OpenAI · Beginner to advanced

    You need to choose between GPT-5.5, GPT-5.5 Pro, GPT-5.4 mini, GPT-5.4 nano, reasoning levels, tool support, and cost-sensitive API paths.

  3. Using GPT-5.5

    Guide · OpenAI · Intermediate

    You need the current OpenAI guidance for migrating to GPT-5.5, prompt shape changes, and tool-heavy workflow behavior.

  4. GPT-5.5 prompting guide

    Guide · OpenAI · Intermediate

    You want the official prompting adjustments for GPT-5.5 instead of reusing older GPT-4 or GPT-5 prompt habits unchanged.

  5. OpenAI reasoning model guide

    Guide · OpenAI · Intermediate

    You need to understand when internal reasoning is useful for coding, scientific work, agents, and harder multi-step tasks.

Roll a learning mission

Pick one small move from this guide instead of opening ten tabs.

About this guide

Author: Learnetto Editorial Team. Learnetto maintains this AI learning directory by organizing public course pages, official documentation, educator material, and practical learning resources.

How it is made: Learnetto uses public course pages, official documentation, educator material, and directory data to compile these recommendations. AI may help draft and organize the page, but recommendations are checked against the listed sources, page topic, and learner intent.

Review policy: We only add a named personal reviewer when that person has substantially reviewed the page. Until then, the page is attributed to Learnetto rather than a founder, editor, or individual expert.

Last updated: June 18, 2026. Suggest a correction if a course, doc, or recommendation is outdated.

Videos to watch

Code with Claude London 2026: Opening Keynote video thumbnail

Code with Claude London 2026: Opening Keynote

Claude

Google's AI endgame is here... everything you missed at I/O 2026 video thumbnail

Google's AI endgame is here... everything you missed at I/O 2026

Fireship

How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins video thumbnail

How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins

Peter Yang

The last six months in LLMs in five minutes video thumbnail

The last six months in LLMs in five minutes

Simon Willison

Educators and sources

Educator / source Best for Skills Start with
Developers, technical generalists LLM tools, Prompting, AI safety, Local models, Model selection Read the recent model-roundup posts, then try the llm command-line tool with two or three different providers.
Leaders, executives, managers Agentic AI, AI assistants, Leadership workflows, Prompt refinement Bring a leadership workflow such as decision prep, team planning, or prompt governance into the course exercises.

Resources

The AI Engineer Roadmap

Free tutorial · Matt Pocock · 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.

OpenAI model guide

Model docs · OpenAI · Beginner to advanced

You need to choose between GPT-5.5, GPT-5.5 Pro, GPT-5.4 mini, GPT-5.4 nano, reasoning levels, tool support, and cost-sensitive API paths.

Using GPT-5.5

Guide · OpenAI · Intermediate

You need the current OpenAI guidance for migrating to GPT-5.5, prompt shape changes, and tool-heavy workflow behavior.

GPT-5.5 prompting guide

Guide · OpenAI · Intermediate

You want the official prompting adjustments for GPT-5.5 instead of reusing older GPT-4 or GPT-5 prompt habits unchanged.

OpenAI reasoning model guide

Guide · OpenAI · Intermediate

You need to understand when internal reasoning is useful for coding, scientific work, agents, and harder multi-step tasks.

Claude models overview

Model docs · Anthropic · Beginner to advanced

You need the official comparison of current Claude models, context windows, aliases, and release families before choosing cost, speed, and reliability tradeoffs.

Gemini API models

Model docs · Google AI for Developers · Beginner to advanced

You need to compare current Gemini stable, preview, latest, and experimental model IDs, context windows, and modality support.

Gemini coding agent setup

Guide · Google AI for Developers · Intermediate

You want Google's official setup path for Gemini-driven coding-agent workflows, Gemini Docs MCP, and skills rather than generic prompt advice.

Gemini Agents Overview

Guide · Google AI for Developers · Intermediate

You want the official overview of Gemini managed agents, sandbox behavior, and when to use agent workflows instead of plain model calls.

Gemini API changelog

Release notes · Google AI for Developers · Intermediate

You need the official Gemini launch and shutdown timeline before relying on preview model IDs or older Flash variants.

Gemini Live API overview

Guide · Google AI for Developers · Intermediate

You want the official Google path for low-latency voice and vision agents before designing a realtime Gemini workflow.

Llama API model endpoint

API reference · Meta Llama · Intermediate

You need the machine-readable Llama API models endpoint and specifications before wiring model discovery into tooling or eval configs.

Mistral models overview

Model docs · Mistral AI · Beginner to advanced

You need to compare current Mistral families such as Devstral, Magistral, Voxtral, OCR, and general-purpose models.

Cohere models overview

Model docs · Cohere · Beginner to advanced

You need to choose between current Cohere Command, embedding, and rerank models for grounded enterprise search.

DeepSeek API docs

API docs · DeepSeek · Beginner to advanced

You need first-call examples, OpenAI-compatible API usage, and current migration notes for DeepSeek models.

DeepSeek models and pricing

Model docs · DeepSeek · Beginner to advanced

You need current DeepSeek model names, pricing, and deprecation notes before building against the API.