Unverified50% confidenceBenchmarkExact time
Compared to comparable models, Ember-1 reduces token consumption by approximately 40% when completing reasoning tasks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/24/2026
First Seen
Valid until: 12/23/2026
Sources
Related Entities
Related Claims
UnverifiedAfter using AI testing Skills, missed requirements decreased by approximately 40%.66% similarUnverifiedThe cost of calling an embedding model is typically dozens of times lower than the generation cost of a large language model, or even lower.63% similarUnverifiedModel distillation technology can reduce inference costs by 5–10 times.62% similarUnverifiedIn the software engineering scenario, EvoMem significantly reduced the Regression rate (breaking existing functionality) from approximately 9%.62% similarUnverified效率型模型以远低于旗舰模型的推理成本（通常低5-10倍）提供接近旗舰模型80-90%的能力表现62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/946746API
curl https://kongchang.com/api/v1/knowledge/claims/946746MCP
get_claim(id=946746)