How to pick an LLM in 2026
A practical order of operations: task, budget, latency, then Elo. Links into CompareLLM stacks and compares.
Start from the job, not the leaderboard crown
The highest Elo model is often the wrong default. A coding agent should look at SWE-bench and output price first. A support widget should look at TTFT and $/1M. A RAG job should look at context window and input price.
CompareLLM encodes those defaults as Stack Engine presets: cheap coding, lowest-latency chat, long-context RAG, open-weight reasoning, frontier agents.
Then read one pair page, not twenty tweets
Open the winner versus your current production model. The pair page has deltas, a workload table, and a list-price cost sketch for chat, coding, and RAG-sized calls.
If the pair is thin (fewer than three shared metrics) we still render it but we noindex it. That is deliberate — doorway pages do not help you or Google.
Leave room for your own eval
Public leaderboards leak. Prompt a 100–500 example golden set on your actual tools before you cut over. Use this site to shortlist, not to rubber-stamp.
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