Terminal-Bench-Science leaderboard launches with GPT-6 Astra at 63%
scaling01 · x · 2026-09-25
Artificial Analysis launched its leaderboard for Terminal-Bench-Science 0.1, a 70-task agentic benchmark built by Stanford researchers and the Terminal-Bench team covering life, physical, mathematical, engineering and earth sciences. GPT-6 Astra (max) leads at 63% and Claude Opus 5.5 (xhigh) at 62%, with agents graded pass/fail in sandboxed tasks via average pass@1 over 3 attempts.
More from Models
- Micius-Flash: 27B Multimodal Model for Hardware and Semiconductor Agents — zhiman-ai · 2026-11-11
- Claude IP risk-check site goes viral as users audit their IPs ahead of new rules — vista8 · 2026-11-11
- Baidu says RSI auto-optimized ERNIE inference, 6.24x decode speedup on Kunxin P800 — xiaohu · 2026-11-11
- Baidu's ECHO: multi-token prediction reusing the last layer as a drafter — xiaohu · 2026-11-11
- ERNIE 5.5 Flash Preview: 280B-param multi-router MoE activating only 14B per token — xiaohu · 2026-11-11
- ERNIE 5.5 recreates the Pelican test: 117-second animation drawn frame-by-frame in Python — xiaohu · 2026-11-11