Build Your Own Model Benchmark
A practical comparison of Claude and GPT models for real engineering tasks — code generation, debugging, architecture reviews, and documentation.
Build: Build Your Own Model Benchmark
A guided implementation with code you can run and adapt for production.
Reading LLM Benchmarks is free. Pro unlocks the other four modes on all LLM Model Landscape topics, so you can go from understanding it to building it.
- SeeThe architecture as diagrams, so you can hold the whole system in your head.
- AnimateStep through the flow one stage at a time and watch the data move.
- TestScenario questions with explanations that show exactly where your model of it breaks.
- BuildA guided implementation with code you can run and adapt for production.
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All LLM Model Landscape articles →GPT: OpenAI's Model Family in Practice
The GPT-6 tiers, what reasoning effort replaced, when to use the Responses API over Chat Completions, how the bill is calculated, and what is different on Azure.
Claude: Anthropic's Model Family in Practice
The four Claude tiers, adaptive thinking and effort, the tool-use rules that differ from other providers, prompt caching, and where you can run it.
Llama: Open-Weight Models for Production
The Llama lineup and licence, serving with Ollama and vLLM, GPU memory sizing, and an honest look at when a hosted API is still the better choice.
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