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the claim

DeepSeek language models hallucinate more often than other leading language models.

the verdict
INSUFFICIENT LEANING
Recorded sources
2 sources for · 0 against

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Is it true that DeepSeek language models hallucinate more often than other leading language models?

Unclear. Two studies report that DeepSeek models hallucinate in medical reasoning and archival tasks, but neither compares DeepSeek's hallucination rate against other leading language models, so the comparative claim is not established.

Verdict: PARTIAL LEAN · 2 sources for, 0 against · Last checked

The private library was unavailable for some searches in this check. Missing library results are not evidence against the claim.

Evidence for · 2
2025
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Kim, J., Podlasek, A., Shidara, K., Liu, F., Alaa, A., & Bernardo, D. (2025). Limitations of large language models in clinical problem-solving arising from inflexible reasoning. doi.org. https://doi.org/10.1038/s41598-025-22940-0

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More for · 1
2026
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Large Language Models are not a One-Size-Fit All Solution for Archives and Records Management. (2026). hal.science. https://doi.org/10.5281/zenodo.22789529

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