What these comparisons cover
The pairwise coding comparisons use the same four-row benchmark snapshot and retain model names and versions. Values come from Google’s model page; the methodology document explains the source and setup differences.
We have not independently tested any of these models side by side. Published base prices are now compared in the pricing reference. Comparable response speed, account entitlement and production reliability still require their own evidence.
Turn a comparison into a pilot
Choose a task from the use-case hub, use the same prompt and supplied inputs for each candidate, and hold tools and budgets constant. Record the model identifiers actually served, attempts, accepted outputs and review effort. Then make a decision based on your measured work.
An improvement in one benchmark can justify testing a candidate; it does not establish how much time or money it will save in your organization. Use Argon’s announced rates for a provisional budget and verify access before implementation.
Choose by the constraint you actually face
| Your constraint | Start here | Then verify |
|---|---|---|
| Repository changes | Coding benchmark snapshot | Accepted diffs, test results and correction effort |
| Immediate adoption | Fable availability comparison | Your actual account and deployment channel |
| Large deliverables | Output ceiling and settings | Section-level quality and channel limits |
| Token budget | Published rates | Usage, retries and cost per accepted result |
These are original selection criteria based on the research themes. They do not prescribe one model for every team or treat a vendor claim as a measured production outcome.