Agents · Benchmark profile
BrowseComp accuracy from ten collaborating Opus 5 agents on a pre-release model and unreleased effort configuration.
Data verified 27 Jul 2026 · Methodology 1.7.0
Benchmark score on Multi-Agent BrowseComp — 10-agent team prerelease configuration
Claude Opus 5 leads at 93.6%.
Visual analysis
Switch between model placement, score distribution and descriptive provider averages. Every view uses the same sourced leaderboard.
1 ranked models · higher is better · labels show rank and score
| Model | Rank | Provider | Score |
|---|---|---|---|
| Claude Opus 5 | #1 | Anthropic | 93.6% |
One best score per model · higher is better
| Rank | Model | Provider | License | Evidence use | Score |
|---|---|---|---|---|---|
| #1 | Claude Opus 5 claude-opus-5 | Anthropic | closed | Estimated reference | 93.6% |
About Multi-Agent BrowseComp — 10-agent team prerelease configuration
BrowseComp accuracy from ten collaborating Opus 5 agents on a pre-release model and unreleased effort configuration. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.
Open benchmark source ↗FAQ
BrowseComp accuracy from ten collaborating Opus 5 agents on a pre-release model and unreleased effort configuration.
Claude Opus 5 by Anthropic currently leads with 93.6%.
1 model in the LuminaBench cohort have a qualifying score on this benchmark.
No. This benchmark is display-only and does not enter the overall Lumina composite.
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