SGR-Bench - Goal-Oriented: leaderboard
Metric: Item-level F1 (%) on the goal-oriented formulation of the same problems (only the goal is stated, constraints are implicit), 100 state-gated retrieval tasks on specialized data sites (scholarly, official statistics, life science, environmental, regulatory); eight models in production CLI agents (GPT-5.5 in Codex CLI, the others in Claude Code) with the same Serper search, fetch and PDF tools, plus three commercial search agents; outputs parsed into rows and aligned by key fields; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GLM-5.1 | 68.1 |
| 2 | DeepSeek V4 Pro | 65.29 |
| 3 | GPT-5.5 | 64.15 |
| 4 | Gemini 3.1 Pro (Preview) (Medium) | 61.7 |
| 5 | Claude Opus 4.7 (Medium) | 58.41 |
| 6 | Deep Research | 51.14 |
| 7 | Kimi K2.5 (Thinking) | 45.17 |
| 8 | Qwen 3.6 Plus | 29.5 |
| 9 | Seed 2.0 Pro (Medium) | 28.27 |
Interactive version: theaggregate.ai/benchmark?slug=sgr-bench-goal-oriented · How It Works · Data refreshed daily, snapshot 2026-10-07.