A directory, not a leaderboard

Tell us the job. We'll name the model and the monthly cost.

Pick a job. ModelPickr keeps models from established labs that are sold by several providers, then scores what is left for that job: cited coding results, long-context price, or cost per quality. The three job pages below are still draft.

Specs and prices republished from Models.dev (MIT). Catalog refreshed Oct 14, 2026, 05:43 PM UTC.

519 text models
64 labs
485 pages with a price and a context window
34 thin pages kept out of the sitemap

Three jobs, draft picks

Top, budget, and premium. Each job has its own score.

Draft

Coding agents

Which model should I use for a coding agent, and what will it cost each month?

  • Top$199Claude Opus 5
  • Budget$8.86GPT-5.6 Luna
  • Premium$398Claude Fable 5

Draft

Long-document Q&A

Which model should I use to ask questions of documents over 200,000 tokens, and what will it cost each month?

  • Top$94.64Muse Spark 1.3
  • Budget$10.60DeepSeek V4 Flash
  • Premium$151Qwen3.8 Max

Draft

Cheapest summarization

Which model is the cheapest way to summarize a steady stream of documents, and what will it cost each month?

  • Top$1.70Qwen3.7 Flash
  • Premium$600GPT-6 Astra
  • Budget—Already the cheapest

How a pick is made

Full methodology

1

Clear the bar

An established lab, at least five providers, the capabilities the job needs, and a real price.

2

Score the job

Coding agents use cited lab and benchmark-owner results plus tool-calling signals. Long documents weigh the window and the long-prompt price. Summaries weigh quality against the monthly bill.

3

Name three roles

The top pick is the best score, with a lower bill when coding flagships are within a few points. Budget costs less. Premium is the stronger bill above it.

Latest catalog changes

All changes

2026-10-14 · seed

Initial catalog imported

Imported 519 text models from Models.dev. This snapshot is the baseline, so individual models are not listed as releases.