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AlpacaEval-2.0

15 models tracked

AlpacaEval 2.0 — Standard win-rate %; LC-winrate sibling uses a distinct length-controlled metric, kept separate

#ModelVendorBest scoreRunsLast seen
1Granite 3.3 8B InstructIBM62.722026-08-23
2Granite 3.2 8B InstructIBM61.212026-06-11
3Granite 4.1 30BIBM56.212026-06-15
4Hunyuan Large Inst.Tencent51.812026-05-31
5DeepSeek-V2.5DeepSeek50.522026-08-23
6Granite 4.1 8BIBM50.112026-06-15
7Granite 3.3 2B InstructIBM43.512026-06-11
8Llama 3.1 Instruct 405BMeta39.312026-05-31
9Granite 3.2 2B InstructIBM34.512026-06-11
10Llama 3.1 70B InstructMeta34.312026-05-31
11Granite 3.1 8B InstructIBM30.312026-06-11
12Llama 3.1 8B InstructMeta27.212026-06-11
13Granite 3.1 2B InstructIBM27.212026-06-11
14DeepSeek-R1-Distill-Llama-8BDeepSeek21.912026-06-11
15DeepSeek-R1-Distill-Qwen-7BDeepSeek15.312026-06-11

Best tracked score per model (default configuration; source-attributed and verification-tiered). Open a model for its full benchmark surface, provenance and pricing.