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Claude Research

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Multi-agent research system — Opus 4 lead + Sonnet 4 subagents. 90.2% improvement over single-agent (self-reported). 1M context, Agent SDK for custom pipelines.

Score 38
Claude Research in action

Where it wins

Multi-agent architecture: Opus 4 lead + Sonnet 4 subagents running in parallel

90.2% improvement over single-agent on internal eval (methodology published)

1M context window (Opus 4.6, Feb 2026)

Agent SDK enables custom research pipelines

Strong at long-form synthesis and citation quality

Where to be skeptical

90.2% improvement claim is self-reported — no independent benchmark validation

No dedicated HN thread for Claude research specifically

Lower independent community signal than Perplexity (368 pts), NotebookLM (907 pts), Tongyi (365 pts)

No standalone research product — embedded in Claude Pro/Max

Editorial verdict

#7 in research. Architecturally distinct multi-agent approach is theoretically superior, but 90.2% improvement claim is self-reported with no independent validation. No dedicated HN thread for Claude research. Promising but needs third-party benchmarks to justify a higher ranking.

Related

Public evidence

moderate2026-03-20
No dedicated HN thread for Claude research

Lower independent community signal compared to competitors. Most Claude discussion is general, not research-specific.

HN Algolia search — no resultsN/A

Raw GitHub source

GitHub README could not be fetched right now.