Expired50% confidenceFactExact time
The distributed output strategy (multiple models each responsible for one stage) has the highest quality compared to direct output and step-by-step output, but is the slowest and most costly.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Coze Agent in Practice: Building an AI Test Case Generation Workflow from Scratch
bilibili字节测试员6/12/2026
Related Claims
UnverifiedOutput tokens are typically more expensive than input tokens because outputs require autoregressive token-by-token generation, which has higher computational intensity and lower GPU utilization.69% similarUnverifiedAssuming the data follows a Gaussian distribution, maximizing the likelihood is equivalent to minimizing the mean squared error.65% similarUnverifiedDifferent LLM models can vary in price by 10–50 times, and through intelligent routing, total costs can be reduced by 60%–80% while maintaining output quality.64% similarUnverifiedThe marginal cost of AI models decreases as scale expands; the more users there are, the lower the average cost per inference after optimization through batching and GPU utilization.63% similarUnverifiedResearch shows that, for the same task, an optimized prompt can improve model output quality by 30%–50% compared to arbitrary input.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/46853API
curl https://kongchang.com/api/v1/knowledge/claims/46853MCP
get_claim(id=46853)