SuperResearch v1 - Native Search-Integrated Agent Objectivity: leaderboard
SuperResearch paper 2603.00582 v1, 300 tasks and 12 systems. This pinned experiment defines Overall as the aggregation of Coverage, Consistency, Utility and Objectivity. Current website metrics use a different definition and are not mixed with these results. Coverage is depth-weighted fact/insight/conclusion recall against expert knowledge anchors. Architecture: Native Search-Integrated Agent. Search-augmented baselines use the common LangGraph/Tavily scaffold. Native search and deep-research systems retain distinct endpoint identities; unspecified snapshots remain source-qualified. Objectivity. Metric: Score (%).
Metric: Score (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 2 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | SuperResearch Kimi-k2 search unspecified checkpoint | 34.01 | |
| 2 | Grok 4.1 Fast Web Search | 31.91 |
Interactive version: theaggregate.ai/benchmark?slug=superresearch-v1-native-search-integrated-agent-objectivity · How It Works · Data refreshed daily, snapshot 2026-10-26.