# Arena finds frontier coding agents draw fewer user complaints across 20,869 traces

> Original title: Where do users actually feel the difference with a frontier coding agent?

- Source: Arena
- Published: 2026-10-28T15:28:55.000Z
- Bad Influence: https://badinfluence.news/items/zrxwrj6wojbepnowh3wgxxr7z
- Original: https://x.com/arena/status/2115465844230938846

## Summary

Arena compared user complaints across 20,869 Agent Arena traces, finding that the five top models from Anthropic and OpenAI draw fewer complaints than other agents. Among sessions with complaints, failed repair loops come up 6.9 percentage points less often, design complaints fall 6.4 points, and failure to produce working results falls 5.8 points.

## Post

Where do users actually feel the difference with a frontier coding agent?

Across 20,869 Agent Arena traces, we compared how users criticized the five top models (all from @AnthropicAI & @OpenAI) on Agent Arena: Code, versus how they criticized other agents.

Here are 3 areas where frontier models make the most difference:

1. Less getting stuck: Among sessions with complaints, failed repair loops come up 6.9 percentage points less often, and project context gets ignored less often too (-1.9 pp). You spend less time steering the agent out of dead ends.

2. Better taste and code that works: They are better at design (-6.4 pp) and at producing working results (-5.8 pp). What you get back is more likely to be what you wanted.

3. More diligence: They follow instructions better (-5.6 pp), finish the work more often (-4.9 pp) and break existing work less (-4.5 pp). There's less to clean up afterwards.

Curious for a deeper dive into Agent Arena's praise vs complaint signal? See the article below in thread.

![](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHVukbh1bQAAk9VG.jpg&mode=thumb&exp=1793404800&sig=6cb86257fbdbca2b)
