# OpenAI — Terminal X matches senior investor judgment 88.6% with GPT-6.1

- Company: OpenAI (openai.com)
- Announced: 2026-10-20T07:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://openai.com/index/terminal-x
- Record: https://forck.live/items/25562-terminal-x-matches-senior-investor-judgment-88-6-with-gpt-6-1
- Subject: GPT / ChatGPT / API
- Models affected: GPT‑6.1 Sol, GPT‑6 Luna

Terminal X's Eval Agent, running on OpenAI's GPT-6.1 Sol, agreed with a senior human reviewer 88.6% of the time across 500 scored judgments, against 86.4% for the next-best model. The company sells a Capital Memory operating system that encodes how a firm invests into agents it owns, deployed on-premise or in the firm's own cloud, to address what it calls memory debt when senior investors leave. GPT-6.1 Sol handles the stages needing judgment and a large context window, while GPT-6 Luna runs high-volume steps where token efficiency matters more than depth. The Eval Agent grades every agent output against a 54-criterion rubric, and each failure becomes a Memory that teaches the system more about how that firm works, according to co-founder and CTO Ken Lee. GPT-6.1 Sol caught about 25% more recommendations that strayed from a fund's mandate and ran the same workflows at roughly 30% lower cost per query than the next-best model, at similar speed. Terminal X says one private equity firm reported $2.4 million in annualized savings from automated due diligence and investment memo workflows, and that it has built 1,700 firm Memories and run more than 1 million custom workflows.

## Evidence

Verbatim from https://openai.com/index/terminal-x:

> Across 500 scored judgments, its Eval Agent on GPT‑6.1 Sol agreed with the senior human reviewer 88.6% of the time, vs. 86.4% for the next-best model, an improvement of 220 basis points.

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