A display-only Artificial Analysis factuality metric for the rate of incorrect answers among non-correct responses.
BenchLM mirrors the published score view for AA-Omniscience Hallucination Rate. Command A+ leads the public snapshot at 14.1% , followed by MiniMax M3 (16.1%) and Qwen3.7 Max (22.9%). BenchLM does not use these results to rank models overall.
Command A+
Cohere
MiniMax M3
MiniMax
Qwen3.7 Max
Alibaba
The published AA-Omniscience Hallucination Rate snapshot is tightly clustered at the top: Command A+ sits at 14.1%, while the third row is only 8.8 points behind. The broader top-10 spread is 17.2 points, so the benchmark still separates strong models even when the leaders cluster.
121 models have been evaluated on AA-Omniscience Hallucination Rate. The benchmark falls in the Knowledge category. This category carries a 12% weight in BenchLM.ai's overall scoring system. AA-Omniscience Hallucination Rate is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Knowledge questions
Format
Hallucination rate
Difficulty
Factuality
BenchLM marks this row lower-is-better because a lower hallucination rate is preferable, even though the OpenRouter card displays the raw percentage.
Version
AA-Omniscience Hallucination Rate 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A display-only Artificial Analysis factuality metric for the rate of incorrect answers among non-correct responses.
Command A+ by Cohere currently leads with a score of 14.1% on AA-Omniscience Hallucination Rate.
121 AI models have been evaluated on AA-Omniscience Hallucination Rate on BenchLM.
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