How the objective rankings work
The page shows separate rankings for measurable catalog fields and does not create an overall quality score.
Inclusion criteria
- Each section uses active text-generation offers or grouped model identities.
- A record must have the specific price, context, or date field used by its section.
Exclusions
- The page excludes subjective quality ranks because the catalog does not contain a common benchmark.
- The context section excludes values above 10 million tokens as unverified outliers.
Data rules
- Separate dimensions: Cost, context, and catalog freshness remain separate. The page does not blend them into one score.
- Top ten: Each section shows ten records ordered only by its named catalog field.
- No quality rank: A position on this page does not mean that one model produces better answers than another model.
Limits of the data
- Catalog freshness is not the same as model release date or model quality.
- Price and context do not measure accuracy, speed, safety, or application fit.
What is ranked
This page ranks recorded fields, not answer quality. Use each section to make a shortlist. Then test the models on your own prompts and constraints.
Sources
- llm_db — Source for prices, context limits, model dates, providers, and capabilities. Checked 2026-07-30.