Methodology

How we research, score and rank — kept transparent.

What we measure

• Capability — feature depth and real-world output quality for the tool's core job.
• Price & value — pricing model and cost relative to peers.
• Use-case fit — who it's genuinely best for.
• Popularity & momentum — adoption signals across the market.

The popularity index

The 0–100 index on each tool reflects current market adoption and momentum, normalized across the directory. It is a relative signal, not an absolute quality score.

The model leaderboard ranking (Bq score)

Models on the leaderboard are ordered by the Benchquill score — a 0–100 capability-first editorial index. It weighs: reasoning & benchmark tier (vendor-reported and independent results), agentic and coding strength, context window, price-performance, and recency. It is an editorial judgment refreshed with each data update, not a single automated benchmark — flagship capability ranks above efficiency tiers even where the cheaper model is better value for many workloads.

Model data

Model context windows and API prices are public list values per 1M tokens (USD) at the time of our last update (July 30, 2026). Always verify current pricing with the provider.

Affiliate disclosure

Some links are affiliate links. They may earn us a commission at no extra cost to you and never affect our editorial rankings.