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BrowseComp (single-agent)
We haven't written a description for this benchmark yet; see the card notes below for how each maker ran it.
Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
- ModelScoreYour cost / mo
- 1Claude Opus 4.8 · Anthropicbest value84.3%
“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.
How each maker reported it
- Claude Opus 4.8 Table 8.1.A, p.194–195
Opus 4.8 uses adaptive thinking at max effort with default sampling, averaged over 5 trials. Competitor figures come from the developers' own published cards or leaderboards.
Only each model's own maker's number is shown; scores a maker reports for rival models are left out.