BlogLLM Benchmark Scores as Published, Side by Side

BBH: Results as Published

Every result the catalog holds for BBH: 6 models from 3 developers, read from 2 pages. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.

Area General Knowledge and ReasoningMaintainer Google (Mirac Suzgun and co-authors)Introduced 2022Data version 2026103001, as of 2026-10-30

BIG-Bench Hard (BBH) is a set of 23 BIG-Bench tasks on which earlier models scored below the average human rater, many of them needing multi-step reasoning. The score is accuracy, usually with three-shot chain-of-thought prompting.

BBH

ModelValuePrinted bySetup as printed
DeepSeek-V4-Flash-BaseDeepSeek, released 2026-04-2486.9%DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15; printed on 1 more page-
DeepSeek-V4-Pro-BaseDeepSeek, released 2026-04-2487.5%DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15; printed on 1 more page-
DeepSeek-V3.2-BaseDeepSeek, released 2025-12-0187.6%DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15-
Kimi K2 BaseMoonshot AI, released 2025-07-1188.7%Xiaomi, Xiaomi MiMo-V2.5-Pro model cardchecked 2026-10-15Harness: 3-shot
MiMo-V2.5 BaseXiaomi, released 2026-04-2787.2%Xiaomi, Xiaomi MiMo-V2.5-Pro model cardchecked 2026-10-15Harness: 3-shot
MiMo-V2.5-Pro BaseXiaomi, released 2026-04-2788.4%Xiaomi, Xiaomi MiMo-V2.5-Pro model cardchecked 2026-10-15Harness: 3-shot

Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.