Benchmark profile
BrowseComp
A benchmark for web-browsing agents that must search, inspect sources, gather evidence, and return the correct answer to research-oriented questions.
Data verifiedTop models on BrowseComp — July 28, 2026
As of July 28, 2026, GPT-5.6 Sol leads the BrowseComp leaderboard with 92.2% , followed by Kimi K3 (91.2%) and Claude Opus 5 (90.8%).
GPT-5.6 Sol
OpenAI
gpt-5-6-sol
Kimi K3
Moonshot AI
kimi-3
Claude Opus 5
Anthropic
claude-opus-5
Leaderboard (33 models)
ScoreAccording to BenchLM.ai, GPT-5.6 Sol leads the BrowseComp benchmark with a score of 92.2%, followed by Kimi K3 (91.2%) and Claude Opus 5 (90.8%). The top models are clustered within 1.4 points, suggesting this benchmark is nearing saturation for frontier models.
33 models have been evaluated on BrowseComp. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. Within that category, BrowseComp contributes 28% of the category score, so strong performance here directly affects a model's overall ranking.
About BrowseComp
Year
2025
Tasks
Research questions requiring browsing
Format
Web search and evidence synthesis
Difficulty
Hard web research
BrowseComp is designed to measure real web research behavior, not just latent world knowledge. It rewards models that can plan searches, inspect multiple pages, and avoid shallow answer synthesis.
BenchLM freshness & provenance
Version
BrowseComp 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does BrowseComp measure?
A benchmark for web-browsing agents that must search, inspect sources, gather evidence, and return the correct answer to research-oriented questions.
Which model scores highest on BrowseComp?
GPT-5.6 Sol by OpenAI currently leads with a score of 92.2% on BrowseComp.
How many models are evaluated on BrowseComp?
33 AI models have been evaluated on BrowseComp on BenchLM.
Compare Top Models on BrowseComp
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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