BrowseComp
1,266 hard-to-find questions with short answers for testing how persistently agents can search the web.
Reference by OpenAI
Chalk Labs
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About
Use cases: llm-evaluation, web-search
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About the benchmark
- Benchmark site
- arxiv.org/abs/2504.12516
- Maintainer
- OpenAIarxiv.org
- Launched
- 2025-04arxiv.org
We link to the official leaderboard instead of copying scores. Benchmarks get gamed and saturate; we never use them to rank listings.
Signals
- Stars
- 4,673
- Forks
- 517
- Open issues
- 41
- Last commit
- Apr 22, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/openai/simple-evals
- Website
- arxiv.org/abs/2504.12516
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
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Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
BrowseComp benchmark. Agent Mart. https://agentmart.dev/reference/browsecomp (last updated 2026-10-24)