SteerBench-Work: leaderboard

SteerBench-Work release v2026-05: 106 human-labeled workplace scenarios where an agent must act or hold at an action boundary, five trials per model condition (arXiv 2608.12654v1). Mean trial accuracy 0-100, higher is better, from results/v2026-05/leaderboard.json in AgentDock/steerbench-work; each model appears under its two reasoning conditions.

Metric: Mean Trial Accuracy (%). Source: steerbench.com. 30 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Flash Lite (Minimal)92.8#200 (Gemini 3.1 Flash Lite)
2GPT-5.4 Mini (High)91.9#228 (GPT-5.4 Mini)
3GPT-5.4 Mini (Non-reasoning)91.9#228 (GPT-5.4 Mini)
4DeepSeek V4 Pro (Non-reasoning)91.7#112 (DeepSeek V4 Pro)
5Gemini 3.5 Flash (Minimal)90.6#66 (Gemini 3.5 Flash)
6Kimi K2.6 (Non-reasoning)90.4#113 (Kimi K2.6)
7DeepSeek V4 Flash (Reasoning)90#155 (DeepSeek V4 Flash)
8Kimi K2.6 (Thinking)88.9#113 (Kimi K2.6)
9DeepSeek V4 Flash (Non-reasoning)88.9#155 (DeepSeek V4 Flash)
10DeepSeek V4 Pro (Reasoning)87.5#112 (DeepSeek V4 Pro)
11Claude Opus 4.8 (High)87.4#39 (Claude Opus 4.8)
12GPT-OSS-20B (Low)86.2#523 (GPT-OSS-20B)
13Claude Opus 4.8 (Non-reasoning)86#39 (Claude Opus 4.8)
14GPT-OSS-20B (High)85.5#523 (GPT-OSS-20B)
15Claude Haiku 4.5 (Non-reasoning)85.3#287 (Claude Haiku 4.5)

Interactive version: theaggregate.ai/benchmark?slug=steerbench-work · How It Works · Data refreshed daily, snapshot 2026-11-05.