Continual Learning Bench (CL-Bench)
Agents · 2026-05-04
Continual Learning Bench evaluates stateful agents that adapt across 301 sequential instances in six expert-validated task domains. This headline metric normalizes each task's reward against a reference ceiling and the GPT-5.4 stateless baseline, then averages the six normalized task scores.
Top models (higher is better)
| Model | Score |
|---|---|
| Sonnet 4.6 | 0.2 |
| GPT-5.4 | 0.2 |
| Opus 4.7 | 0.2 |
| Gemini 3 Flash Preview | 0.1 |
| Gemini 3.1 Pro Preview | 0.0 |