How we rank AI models and tools

Weights

Benchmark performance

40%

Public benchmarks such as LMSYS Arena Elo, MMLU, HumanEval, and GPQA.

Real-world reputation

30%

Community reviews, expert writeups, and social media sentiment. Aggregated with AI research tools.

Accessibility and price

20%

Free tiers, pricing, API availability, and ease of use.

Recency

10%

Frequency of recent updates and new-feature cadence.

Tiers

• S — S tier — 90 and above
• A — A tier — 80 to 89
• B — B tier — 70 to 79
• C — C tier — below 70

Weekly curation (not a full catalog)

• We refresh research on a weekly cadence and intentionally keep each task list short — popularity and recency matter more than completeness.
• New candidates are expected to show credible activity within roughly the last six months (releases, changelogs, or pricing updates).
• Older entries can remain when they still show strong reputation signals (e.g. sustained community adoption) even if they are not brand-new.
• We may flag entries for review when both recency and reputation signals look weak; that is guidance for editors, not an automatic delist.

Limits we acknowledge

• No ranking is fully objective — benchmarks do not capture all real-world use.
• AI-collected community sentiment can contain errors; we verify before publishing.
• We represent an opinion grounded in public data — not authoritative judgment.

We don't publish evaluations without verifiable sources.

Corrections

We respond to correction requests from product owners within 24 hours. Use "Report Incorrect Info" in the footer.