---
schema: 1
type: term
title: Terminal Bench
description: >-
  **Terminal Bench** is a benchmark used in this channel's model comparisons: a
  percentage score reporting how well an AI model performs on terminal-based
  tasks. In the captured material, it appears as one of the hands-on evaluation
  figures the Every team cites alongside other benchmarks — for example, Opus
  4.6 scoring around 77%.
canonical: >-
  https://liquidgold.cc/channel/everyinc/explore/term/terminal-bench-d2599c5d7af9
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/terminal-bench-d2599c5d7af9.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# Terminal Bench

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/terminal-bench-d2599c5d7af9

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

**Terminal Bench** is a benchmark used in this channel's model comparisons: a percentage score reporting how well an AI model performs on terminal-based tasks. In the captured material, it appears as one of the hands-on evaluation figures the Every team cites alongside other benchmarks — for example, Opus 4.6 scoring around 77%.

**Terminal Bench** is a benchmark the Every team cites when evaluating coding models — in the captured material, it is the reported percentage score for how a model performs on terminal-based tasks. In the Opus 4.6 vs. Codex 5.3 head-to-head, the team quoted **Terminal Bench for Opus at around 77%**, alongside its reported agentic coding evals of roughly 59–65%.[^d796aeea@0]