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See where a model ranks on independent benchmarks, what a task costs and a better-value alternative, on OpenRouter and Hugging Face. Know how good a model really is before you pick it. BenchLeader adds a small card to model pages on OpenRouter and Hugging Face. It shows where the model ranks on BenchLeader's daily leaderboard, which combines results from independent public benchmarks (Artificial Analysis, LMArena, Epoch AI, SWE-bench, Vals AI and more) rather than vendor launch claims. On each model page you see: - Its rank overall and in coding - Its BenchLeader Index score - What one benchmark task costs on it, or its price per million tokens - Its output speed in tokens per second - A better-value alternative when one exists: a model that ranks higher for the same price, or one nearly as good for less than half Click the toolbar icon to look up any model by name. Every number links to the full results on benchleader.com, where each score links back to the benchmark that published it. Data updates daily. Privacy: the extension only reads the address of the tab you are on, and only on openrouter.ai and huggingface.co. When that page is a model page, it sends the model's name to benchleader.com to look up its rank. Nothing else is collected or stored: no browsing history, no page content, no account. Full policy: https://www.benchleader.com/privacy#browser-extension Free, no sign-up.
Nov 1, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.