Gemini 4 Argon has the lowest hallucination rate among top scorers, Artificial Analysis says

Knowledge remains a relative weakness for both models, but this is mitigated by very low hallucination rates. On AA-Omniscience, Muse Wonder Full (max) scores 30 and Muse Wonder (max) scores 25, level with Muse Spark 1.3 (max), below e.g. Claude Opus 5.5 (46), GPT-6 Astra (43), Gemini 4 Argon (42), and Claude Sonnet 5.5 (32) Muse Wonder Full (max)'s 5-point gain comes from lowering its hallucination rate (33% to 23%), which places it among the least-hallucinating models tested: it has the second-lowest hallucination rate of any model scoring 45 or more on the Intelligence Index, behind only Gemini 4 Argon (high, 15%). Muse Wonder (max) is third at 27%

Muse Wonder (max) costs $4.52 per Artificial Analysis Intelligence Index task, 2.8x Muse Spark 1.3 (max, $1.60), driven by higher per-token prices and higher input token use ➤ Token pricing: $4 per 1M input tokens, $0.20 cached and $20 output, up from $1.25 / $0.15 / $4.25 for Muse Spark 1.3. This matches Claude Opus 5.5, is double each of Claude Sonnet 5.5, Gemini 4 Argon, and GPT-6.1 Sol ($2/$10), and is 60% below GPT-6 Astra and Claude Fable 5.1 ($10/$50) ➤ Input: 7.69M input tokens per task, 28% more than Muse Spark 1.3 (max, 6.03M) and 2-7x Gemini 4 Argon (high), GPT-6.1 Sol (max) and GPT-6 Astra (max). Input is $3.43 (76%) of its cost per task, composed of $1.92 cache writes, $1.44 cache hits and $0.07 uncached input ➤ Output: around 54k output tokens per task ($1.08), 10% fewer than Muse Spark 1.3 (max, 60k)