AI index v5 widens US-China gap to 12 points, sparking benchmark debate
Artificial Analysis raised the share of private questions in its index to 60%, and Anthropic's Claude Opus 5.5 now leads Moonshot AI's Kimi K3.1 Pro by 12 points.
Artificial Analysis published Intelligence Index v5, and the measured gap between the top US model and the leading Chinese model widened from 3 points to 12 points, according to aitimes.com. In the new index, Anthropic's Claude Opus 5.5 scored 58, while Moonshot AI's Kimi K3.1 Pro scored 46. The highest-scoring open-weight model reached only 32 points.
Google's Gemini 4 Carbon later took first place with 59 points. Artificial Analysis also raised the share of the index built on private questions and answers from 45% to 60%, a change that reshaped the rankings.
Questions over benchmark trust
The revision drew challenges from industry figures. Snowflake CEO Sridhar Ramaswamy questioned on X whether open models were really catching up or whether test questions had leaked.
Trillium Labs co-founder Nathan Lambert said on his blog that the earlier index seems to have rated open-weight models too favorably, but called talk of the collapse of open models greatly exaggerated.
Separately, OpenCode co-founder Dax posted on X on October 27, 2026 an estimate that most of DeepSeek's daily traffic through OpenRouter could be served by a single NVIDIA GB300 rack. Before the v5 revision, expectations had spread that cheap Chinese open-weight models would threaten OpenAI's and Anthropic's business models.
Quick answers
What are the Intelligence Index v5 scores?
Anthropic's Claude Opus 5.5 scored 58 and Moonshot AI's Kimi K3.1 Pro scored 46. Google's Gemini 4 Carbon later took first place with 59 points.
Why did the US-China gap change in the index?
Artificial Analysis raised the share of the index built on private questions and answers from 45% to 60%. The gap between the top US and leading Chinese models widened from 3 points to 12 points.
Who questioned the index results?
Snowflake CEO Sridhar Ramaswamy asked on X whether open models were really catching up or whether test questions had leaked.