Unverified50% confidenceTradeoffExact time
DeepSeek minimal mode paired with Max tends to elicit the model's strongest reasoning capabilities, at the cost of longer response latency and higher token consumption.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/27/2026
First Seen
Valid until: 12/26/2026
Sources
Related Entities
Related Claims
UnverifiedThinking Level in DeepSeek models is a capability that allows callers to control how much reasoning the model performs before generating a response, representing a practical application of Test-Time Compute Scaling.79% similarPartially VerifiedDomestic large models such as Qianwen and DeepSeek have pushed efficiency and cost-effectiveness to the extreme under constrained computing resources.78% similarVerifiedDeepMind research has shown that on certain mathematical reasoning tasks, smaller models can surpass models with larger parameter counts by increasing the amount of inference-time computation.78% similarUnverifiedDeepSeek replicated top-tier model performance at extremely low compute costs.78% similarUnverifiedThe main difference between minimal mode and standard mode in DeepSeek Harness lies in the complexity of the system prompt and the level of constraints on model behavior.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/953623API
curl https://kongchang.com/api/v1/knowledge/claims/953623MCP
get_claim(id=953623)