AlpacaEval 2.0
AlpacaEval 2.0 is a length-controlled automatic evaluator for instruction-following language models that uses GPT-4 Turbo to assess model responses against a baseline. It evaluates models on 805 diverse instruction-following tasks including creative writing, classification, programming, and general knowledge questions. The benchmark achieves 0.98 Spearman correlation with ChatBot Arena while being fast (< 3 minutes) and affordable (< $10 in OpenAI credits). It addresses length bias in automatic evaluation through length-controlled win-rates and uses weighted scoring based on response quality.
Granite 3.3 8B Base from IBM currently leads the AlpacaEval 2.0 leaderboard with a score of 0.627 across 4 evaluated AI models.
Granite 3.3 8B Base leads with 62.7%, followed by Granite 3.3 8B Instruct at 62.7% and 
DeepSeek-V2.5 at 50.5%.
Progress Over Time
Interactive timeline showing model performance evolution on AlpacaEval 2.0
AlpacaEval 2.0 Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | 8B | — | — | |||
| 1 | 8B | 128K | $0.50 / $0.50 | |||
| 3 |  DeepSeek | 236B | 8K | $0.14 / $0.28 | ||
| 4 | 7B | — | — |
FAQ
Common questions about AlpacaEval 2.0.
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