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BenchmarksReasoning

FACTS Grounding

A Google DeepMind benchmark that measures how factually grounded an LLM's long-form responses are to a provided source document, scoring the share of responses that are eligible and fully supported by the context with no hallucinations.

ReasoningGrounding accuracyHigher is better
ScoresAboutRun this benchmark
ModelLabScore↓Source modelStatusDate
Gemini 2.0 FlashGoogle DeepMind83.6%—VerifiedDec 11, 2024Details
Gemini 1.5 ProGoogle DeepMind80.0%—VerifiedFeb 15, 2024Details
Claude 3.5 SonnetAnthropic79.4%—VerifiedJun 20, 2024Details
GPT-4oOpenAI78.8%—VerifiedMay 13, 2024Details
Gemini 2.5 ProGoogle DeepMind74.2%—VerifiedMar 25, 2025Details
Gemini 2.5 FlashGoogle DeepMind69.9%—VerifiedApr 17, 2025Details
GPT-5OpenAI69.6%—VerifiedAug 7, 2025Details
Gemini 3 ProGoogle DeepMind69.0%—VerifiedNov 18, 2025Details
Claude Opus 4.5Anthropic62.1%—VerifiedNov 24, 2025Details
Claude Sonnet 4.5Anthropic61.8%—VerifiedSep 29, 2025Details
GPT-5 miniOpenAI58.3%—VerifiedAug 7, 2025Details
Claude Sonnet 4Anthropic56.1%—VerifiedMay 22, 2025Details
Claude Opus 4.1Anthropic54.8%—VerifiedAug 5, 2025Details
Grok 4xAI54.7%—VerifiedJul 9, 2025Details
GPT-5.1OpenAI50.0%—VerifiedNov 12, 2025Details
GPT-4.1OpenAI45.6%—VerifiedApr 14, 2025Details
o3OpenAI36.2%—VerifiedApr 16, 2025Details
o4-miniOpenAI29.3%—VerifiedApr 16, 2025Details

Each row reports the model’s Grounding accuracy on FACTS Grounding. Click a row for the full run context.