AnalysisOpinion / analysisEvaluation & Benchmarks · Retrieval, RAG & Search1 source · Oct 18, 2026

browsecomp-plus-mini: 15 of BrowseComp-Plus's 830 queries that rank deep-research agents roughly like the full set, no LLM judge

I needed a cheap way to compare search agents on BrowseComp-Plus without burning hours of agent time every run.

Proof1 community thread

Key points

  • So I built a 15-query subset of the full 830 that ranks systems roughly the way the full benchmark does.
  • weighted Spearman rank agreement 0.88 averaged over 30 splits, versus 0.75 for a random 15
  • two runs more than 10 points apart on the full benchmark keep their order about 96% of the time; 5 to 10 points apart, about 75%
  • all answers are 1-4 words, so it grades by normalized exact match, no LLM judge

Sources (1)

Extractive summary: sentences quoted from the sources.

Before this

  1. Oct 17, 2026deepseek-ai/DeepSeek-V4.1-Flash-1017
  2. Oct 17, 2026Nemotron 3.5 Bolt, Muse Spark Open, and a Fast LFM2.5 24B
  3. Oct 15, 2026nvidia/Nemotron-3.5-Embed-1B-BF16 · Hugging Face
  4. Oct 15, 2026open source framework that makes your AI agents generate UI elements
  5. Oct 15, 2026Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint
  6. Oct 15, 2026NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning

Related