Unverified50% confidenceBenchmarkExact time
According to data from Artificial Analysis, the number of reasoning tokens per task doubled from approximately 42,000 in Opus 5 to 84,000 in Opus 5.5, while output tokens only increased from 30,000 to 35,000.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/1/2026
First Seen
Valid until: 12/30/2026
Sources
Related Entities
Related Claims
UnverifiedAnthropic states that Opus 5.5 is more than 30% faster than the previous generation and can save approximately 40% of compute under default settings.68% similarUnverifiedIn the Skatebench test, from the x-high tier to the max tier, reasoning tokens per question spiked from approximately 330 to nearly 5,000 (more than 10x), while scores improved by only 1%.67% similarUnverified在业务自动化评测中,相同单任务成本下Opus 5的通过率约为次优模型的1.5倍67% similarUnverifiedResearch shows that, for the same task, an optimized prompt can improve model output quality by 30%–50% compared to arbitrary input.64% similarUnverified报告测出DiffusionGemma平均每步生成token数达到19.74个,而自回归方法每步只能生成1个64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/964522API
curl https://kongchang.com/api/v1/knowledge/claims/964522MCP
get_claim(id=964522)