Choose this when
You are comparing providers, migrating models, routing tasks, or balancing cost, speed, context, and quality.
AI learning path
Choose models with evidence instead of leaderboard screenshots and social-media vibes.
You are comparing providers, migrating models, routing tasks, or balancing cost, speed, context, and quality.
You can build a small model-selection matrix and test candidates against your own tasks.
Move on when you can justify model choice by task evidence, not brand preference.
Do
This is the route through the topic. Watch and open the material inside the step where it is used.
Step 1
Separate coding, extraction, chat, multimodal, long-context, search, and agent tasks.
Watch here
Simon Willison
Use this for current model landscape orientation before comparing docs.
Open here
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.
Open resourceStep 2
Read official model docs for context, modalities, tool support, pricing, and deprecations.
Open here
Guide · Anthropic · Intermediate
You need Anthropic's current guidance on balancing capability, speed, and cost before changing Claude models.
Open resourceStep 3
Test candidate models on real examples before routing or migrating production workflows.
Watch here
Simon Willison
Good context for model tradeoffs, migrations, and evidence-based selection.
Open here
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.
Open resourceModels guide · OpenRouter · Beginner to advanced
You need to compare many model families through one catalog before testing prompts across providers.
Open resourceTalk · Simon Willison · Beginner to advanced
You want a grounded tour of current LLM tooling, model tradeoffs, and the practical ecosystem.
Open resourceBuild a five-row comparison table for two or three models using your own prompts, not generic benchmarks.
Reference
Step 1
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.
Step 2
Guide · Anthropic · Intermediate
You need Anthropic's current guidance on balancing capability, speed, and cost before changing Claude models.
Step 3
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.
Step 3
Models guide · OpenRouter · Beginner to advanced
You need to compare many model families through one catalog before testing prompts across providers.
Step 3
Talk · Simon Willison · Beginner to advanced
You want a grounded tour of current LLM tooling, model tradeoffs, and the practical ecosystem.
Beginner to advanced
Read the recent model-roundup posts, then try the llm command-line tool with two or three different providers.
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Intermediate to advanced
Watch AI Engineer talks for production patterns and tool choices.
View educatorBeginner to intermediate
Read the public notes and examples before deciding whether the paid material matches your business.
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Beginner to intermediate
Look for workflow breakdowns and implementation examples.
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Intermediate
Review the Maven syllabus and compare it to your current product workflow.
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Beginner to intermediate
Browse the How I AI interviews and copy the workflows that match your role.
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