reasoning benchmark
BrowseComp-Plus Leaderboard
BrowseComp-Plus is a fixed-corpus version of BrowseComp for evaluating deep-research agents with a curated, human-verified document collection.
Updated Oct 23, 2026
Models1
Model coverage1
MetricScore
EvidenceB
BrowseComp-Plus Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelIN | Score55.18% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
BrowseComp-Plus Highlights
The leading models and scores on this benchmark.
The Top AI Models for BrowseComp-Plus
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis browsecomp-plus AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01INInception
- Score
- 55.18%
- Price
- $0.10 input / $0.35 output per 1M tokens
- Speed
- Up to 1,068.00 tok/s via Inception
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures BrowseComp-Plus, not total model capability
Selection summary
Best AI Models for BrowseComp-Plus
Mercury 3 currently leads BrowseComp-Plus with 55.18%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is BrowseComp-Plus?
What BrowseComp-Plus measures and how its scores work.
BrowseComp-Plus pairs BrowseComp questions with a curated, human-verified document collection to support reproducible and comparable evaluation across models and retrievers.
It evaluates retrieval and agent results using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- BrowseComp-Plus
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about BrowseComp-Plus.
Which model scores highest on BrowseComp-Plus?
Mercury 3 is currently ranked first with 55.18%.
What are the top three models on BrowseComp-Plus?
The current leaders are Mercury 3 (55.18%).
Which BrowseComp-Plus model has the lowest official input price?
Mercury 3 has the lowest matched official input price at $0.10 input / $0.35 output per 1M tokens.
Which models are fastest among BrowseComp-Plus results?
The fastest matched records are Mercury 3 (1,068.00 tok/s via Inception).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.