HELM Robo-Reward-Bench - Core Scenarios: leaderboard
Metric: Mean Abs. Error (↓ better). Source: crfm.stanford.edu. 25 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 (xHigh) | 63.02 |
| 2 | GPT-5 Mini (2025-08-07) | 69.1 |
| 3 | GPT-5 | 81.07 |
| 4 | Gemini 3 Pro (Preview) | 85.08 |
| 5 | GPT-5.2 | 88.73 |
| 6 | Gemini 2.5 Pro | 90.16 |
| 7 | Gemini 3 Flash (Preview) | 91.7 |
| 8 | Gemini 2.5 Flash | 94.27 |
| 9 | Gemini 2.5 Flash Lite | 98.98 |
| 10 | Llama 4 Maverick Instruct | 127.06 |
| 11 | GPT-5 Nano | 129.51 |
| 12 | Llama 4 Scout Instruct | 148.5 |
Interactive version: theaggregate.ai/benchmark?slug=helm-robo-reward-bench-core-scenarios · How It Works · Data refreshed daily, snapshot 2026-09-08.