Search across educators, skills, and resources.

Learn first

• When to use Claude or GPT-class reasoning models for complex coding, analysis, and long-horizon agent work
• How Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, and Perplexity differ by modality, openness, retrieval, coding, and price
• Context windows, output limits, latency, pricing, tool support, and eval-based routing
• How to migrate safely when frontier model versions change

Good matches

Simon Willison Elvis Saravia AI Operators Club Jam Anderson

Open next

• OpenAI Cookbook
• Prompt Engineering Guide
• Perplexity Deep Research and Search API docs
• OpenAI model guide

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.

ai engineering, model selection, evals, llm 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.

openai, gpt, gpt-5, reasoning models, model selection

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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.

claude, anthropic, fable, opus, sonnet

Gemini API models

Model docs · Google AI for Developers · Beginner to advanced

You need to compare current Gemini 3.5 model families, context windows, modalities, stable releases, and experimental model IDs.

gemini, google, multimodal, long context, model selection

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, google, release notes, model deprecations, model selection

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.

llama, meta, llama api, model catalog, api reference

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.

mistral, open models, commercial models, model selection, coding

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.

cohere, command, rag, embeddings, reranking

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, reasoning models, coding models, openai compatible, api examples

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.

deepseek, reasoning models, pricing, model deprecations, model selection

Qwen API platform

API docs · Qwen · Beginner to advanced

You need official Qwen model-family context, deployment docs, and quickstarts before choosing a hosted or local workflow.

qwen, open models, multilingual, coding models, agent models

Qwen Model Studio model list

Model catalog · Qwen · Intermediate

You need the current hosted Qwen and third-party model catalog with modality coverage and capability splits.

qwen, model selection, multimodal, reranking, embeddings

xAI Grok models

Model docs · xAI · Beginner to advanced

You need the official Grok model chooser for chat, coding, image, video, and voice workflows, plus aliasing and dated release details.

xai, grok, reasoning models, coding models, image models

Perplexity API overview

API docs · Perplexity · Beginner to advanced

You need to understand Search, Sonar, Agent, and Embeddings APIs for grounded AI research workflows.

perplexity, sonar, agent api, ai search, grounded answers

Perplexity Sonar models

Model docs · Perplexity · Intermediate

You need to compare Sonar, Sonar Pro, Sonar Reasoning Pro, and Sonar Deep Research for grounded search workflows.

perplexity, sonar, deep research, reasoning, model selection

Perplexity Sonar Deep Research

Model docs · Perplexity · Intermediate

You want the specific Sonar Deep Research tradeoffs, pricing, and workflow fit before using it for exhaustive cited research tasks.

perplexity, deep research, search grounding, model selection, research workflows

Together AI serverless models

Model docs · Together AI · Intermediate

You need to learn how serverless hosted model inference works before deploying an app.

together ai, serverless inference, open models, model hosting, pricing

OpenRouter quickstart

API docs · OpenRouter · Beginner to intermediate

You want one API-compatible route for experimenting with several models, fallbacks, and latest aliases without rewriting your app.

openrouter, model routing, fallbacks, api examples, model selection

OpenRouter Auto Router

Guide · OpenRouter · Intermediate

You want OpenRouter to choose among paid models dynamically and need the official routing behavior, session stickiness, and control options.

openrouter, auto router, model selection, routing, fallbacks

OpenAI compare models

Model comparison · OpenAI · Beginner to advanced

You want the official side-by-side capability comparison before swapping OpenAI models in a product or coding workflow.

openai, gpt, model comparison, model selection, frontier models

OpenAI Codex models

Model docs · OpenAI · Intermediate

You need the Codex-specific guidance on which OpenAI models to use for complex coding, lighter tasks, or subagent workloads.

codex, coding agents, model selection, gpt-5.5, subagents

Claude choosing a model

Guide · Anthropic · Intermediate

You need Anthropic's current guidance on balancing capability, speed, and cost before changing Claude models.

claude, anthropic, model selection, frontier models, coding

Mistral model selection guide

Guide · Mistral AI · Beginner to advanced

You want Mistral's official comparison of model families, pricing, context, and licensing before implementation.

mistral, model selection, open models, coding, multimodal

DeepSeek list models

API reference · DeepSeek · Intermediate

You need the live model identifiers available from DeepSeek before wiring production or eval configs.

deepseek, model selection, api reference, reasoning models, coding models

xAI Grok Build 0.1

Model docs · xAI · Intermediate

You want the specific Grok Build model details, pricing, and capabilities before testing xAI for agentic coding work.

xai, grok build, coding agents, model selection, agentic coding

Perplexity Agent API models

Model docs · Perplexity · Intermediate

You need Perplexity's current multi-provider model table for grounded agent workflows and fallback behavior.

perplexity, agent api, model selection, search, research workflows

OpenRouter models API

API reference · OpenRouter · Intermediate

You want a machine-readable way to inspect current models, filters, and metadata across providers.

openrouter, model catalog, api reference, model routing, model selection

OpenRouter provider routing

Guide · OpenRouter · Intermediate

You need to learn how OpenRouter routes across providers, handles fallbacks, and exposes preference controls before relying on it in production.

openrouter, provider routing, fallbacks, model selection, reliability

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Simon Willison: The last six months in LLMs in five minutes

Talk · Simon Willison · Beginner to advanced

You want a grounded tour of current LLM tooling, model tradeoffs, and the practical ecosystem.

llm tools, local models, ai engineering, model selection, frontier models

Simon Willison on LLMs

Blog · Simon Willison · Beginner to advanced

Use this when you want Simon Willison's material for llm tools and related AI skills.

LLM tools, Prompting, AI safety, Local models, Model selection