AlpacaEval 2.0
AlpacaEval 2.0 is an automatic evaluation benchmark that measures instruction-following ability. It uses a length-controlled win rate against a reference model, reducing length bias that affected the original version.
Metrics
Length-controlled win rate (%) vs reference
Created By
Stanford CRFM
Paper
View paper →Website
Visit website →Top Model Scores
| Rank | Model | Score | Date |
|---|---|---|---|
| 1 | Claude Opus 4.6 | 72.1% | 2026-02 |
| 2 | GPT-5.2 | 70.8% | 2026-03 |
| 3 | Gemini 3 Ultra | 67.4% | 2026-01 |
| 4 | Grok 4 | 65.9% | 2026-02 |
| 5 | Llama 4 405B | 61.3% | 2026-01 |
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