LLM Reference
activeAgents

BrowseComp

Metric: Score (higher is better)Introduced: 2025

OpenAI benchmark (released April 2025) measuring browsing agents' ability to locate hard-to-find, entangled facts on the open web. 1,266 questions with easy-to-verify short answers; widely reported across frontier model launches. High benchmark score alone doesn't make a model the right pick — weigh it against pricing, API availability, and release date.

Models ranked

17

tracked on this benchmark

Score band

90.4 – 60.6

best → lowest tracked

Snapshot trend

+8.12

Jun 30 → Jul 9 · 1 models

Leaderboard

Tracked models ranked by Score (higher is better).

Compare candidates

How to read this benchmark

This benchmark scores models where higher is better. Scores are useful for directional filtering and shortlisting — not for universal quality ranking. Prefer benchmarks closest to your workload, then validate the linked model pages for pricing, context window, and provider availability.

Trust this score when

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • The model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Be cautious when

  • There is only one benchmark snapshot or the dataset appears stale.
  • The benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

FAQ

What does the BrowseComp benchmark measure?

OpenAI benchmark (released April 2025) measuring browsing agents' ability to locate hard-to-find, entangled facts on the open web. 1,266 questions with easy-to-verify short answers; widely reported across frontier model launches. On this page it ranks 17 tracked models where higher is better.

Is a higher BrowseComp score always better?

For this benchmark, higher is better. A high score helps you shortlist, but confirm pricing, context window, and provider availability on each model page before committing — the top scorer is not always the right pick for your workload or budget.

How current is this BrowseComp data?

This benchmark was last reviewed on Jun 7, 2026. The tracked score average moved +8.12 points across the last 3 snapshots.

Related benchmarks

Last reviewed: Jun 7, 2026

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