Model Tier Recommender by Budget

Get the best LLM for your task given a strict cost-per-call budget

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Model tier recommender by budget

There is no single “best” LLM — only the best one for your task, your context needs, and your budget. This recommender takes a hard cost-per-call ceiling, a minimum context window, a task type, and a speed-versus-quality preference, then returns the most capable model that satisfies all of those constraints, with a ranked list so you can see the trade-offs.

How it works

Each model in the tool carries its context window and input/output token prices. You set a budget and task; the tool estimates a representative call cost for that task, then filters out any model that is over budget or below your minimum window — those are hard constraints, not penalties. The survivors are scored on task-specific capability blended with your speed-or-quality preference, and ranked. If nothing fits, it surfaces the cheapest capable option and how far over budget it sits so you can make an informed call.

Tips and notes

  • Budget is per call, not per month. Multiply by your expected volume to see the real bill.
  • Check the runner-up. It is frequently far cheaper for a marginal quality drop — ideal at scale.
  • Pick the task honestly. “Reasoning” and “simple extraction” lead to very different recommendations.
  • Window is non-negotiable. A cheaper model that cannot hold your input is no bargain — the tool excludes it for that reason.
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