Benchmark profile
Multi-Agent BrowseComp — 10-agent team prerelease configuration (BrowseComp (10-agent, prerelease))
BrowseComp accuracy from ten collaborating Opus 5 agents on a pre-release model and unreleased effort configuration.
Data verifiedBenchmark score on BrowseComp (10-agent, prerelease) — July 24, 2026
BenchLM mirrors the published score view for BrowseComp (10-agent, prerelease). Claude Opus 5 leads the public snapshot at 93.6%. BenchLM does not use these results to rank models overall.
Benchmark score table (1 model)
ScoreAbout BrowseComp (10-agent, prerelease)
Year
2026
Tasks
BrowseComp web-research tasks
Format
10-agent team accuracy
Difficulty
Long-horizon web research
Sections 8.11.1 and 8.11.4 report 93.6% for the 10-agent team. The card says these runs used a pre-release configuration without safeguards and are useful for relative, not absolute, comparison; BenchLM therefore keeps the row display-only and explicitly labeled.
BenchLM freshness & provenance
Version
BrowseComp (10-agent, prerelease) 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 (10-agent, prerelease) measure?
BrowseComp accuracy from ten collaborating Opus 5 agents on a pre-release model and unreleased effort configuration.
Which model scores highest on BrowseComp (10-agent, prerelease)?
Claude Opus 5 by Anthropic currently leads with a score of 93.6% on BrowseComp (10-agent, prerelease).
How many models are evaluated on BrowseComp (10-agent, prerelease)?
1 AI models have been evaluated on BrowseComp (10-agent, prerelease) on BenchLM.