BlogLLM Benchmark Scores as Published, Side by Side
TruthfulQA: Results as Published
Every result the catalog holds for TruthfulQA: 2 models from 2 developers, read from 1 page. 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 Stephanie Lin, Jacob Hilton and Owain EvansIntroduced 2021Data version 2026103001, as of 2026-10-30
TruthfulQA has 817 questions in 38 categories, including health, law, finance and politics. The questions are written so that some people would answer them falsely through a common misconception, and a model is scored on how often its answer is truthful.
TruthfulQA (accuracy)
accuracy
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| Claude Sonnet 4.6Anthropic, released 2026-02-17 | 88% | Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19 | Effort: max |
| MAI-Thinking-1Microsoft, released 2026-08-12 | 88% | Microsoft, Microsoft AI: MAI-Thinking-1 technical reportchecked 2026-10-19 | - |
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.