Unverified50% confidenceBenchmarkExact time
In benchmark testing, token usage surged by 1500% (approximately 15x) going from x-high to Max mode.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/1/2026
First Seen
Valid until: 12/30/2026
Sources
Related Entities
Related Claims
UnverifiedCompared to extra high, the Max level consumes up to twice as many tokens, but delivers only a 4% to 10% performance improvement across various benchmarks.72% similarUnverifiedToken consumption for reasoning at the XHigh setting can reach 3–5 times that of the High setting, but the marginal accuracy improvement is typically only 5–15 percentage points.71% similarUnverifiedIn the full-text screening stage, rationale statements written by researchers can improve model performance by approximately 15%68% similarUnverified多角色流水线（Self-Refine）的输出质量通常比单次LLM调用提升15%-30%67% 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% similar
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