---
title: "The 2026 enterprise context benchmark"
description: "We ran thousands of real workplace questions through four leading assistants and scored every answer for accuracy, completeness and source quality."
canonical: "https://acme-jaret.duckdns.org/resources/guides/context-benchmark-2026"
site: "Acme"
type: "Report"
---

# The 2026 enterprise context benchmark

We ran thousands of real workplace questions through four leading assistants and scored every answer for accuracy, completeness and source quality. This report shares the method, the results and the raw categories.

## What you'll learn

- How retrieval quality, not model size, explained most of the gap between assistants.
- Which question types are still hardest for every system tested.
- How to rerun the benchmark on your own data.