Unverified50% confidenceTradeoffExact time
The marginal returns from moving from the High to Max inference tier are clearly diminishing: the DeepSWE score increases by only approximately 4 percentage points, while the cost increases by approximately 1.5x.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/24/2026
First Seen
Valid until: 10/22/2026
Sources
GPT-5.6深度评测:Sol、Terra、Luna三模型选型完全指南
youtubeTheo - t3․gg7/12/2026
Related Claims
Unverified自回归缩放定律的边际收益正在递减,单纯增加模型规模和数据量带来的提升已微乎其微67% similarUnverifiedCompared to lower reasoning levels, the difference in API costs between reasoning levels for high reasoning settings can reach several times the cost.66% similarUnverified业界估算当前主流LLM推理成本每18个月下降约75%,但需求增长速度更快导致总成本持续上升65% similarUnverifiedCompared 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.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/607384API
curl https://kongchang.com/api/v1/knowledge/claims/607384MCP
get_claim(id=607384)