AIDeepSeek V4.1 Flash’s reported quality jump at 1 million tokens of context
A user argues that “agents are context hungry,” highlighting a DeepSeek paper figure and similar gains in MiMo-V2.6 reinforcement-learning graphs.
TLDR
A user says a figure in the DeepSeek V4.1 Flash paper shows a sharp quality increase after context length is extended to 1 million tokens. They point to a similar gain in MiMo-V2.6 reinforcement-learning graphs, arguing that “agents are context hungry.”
Combined views
1.1K
1 Source, first seen 17h ago
DeepSeek V4.1 Flash’s reported quality jump at 1 million tokens of context
A user argues that “agents are context hungry,” highlighting a DeepSeek paper figure and similar gains in MiMo-V2.6 reinforcement-learning graphs.
TLDR
A user says a figure in the DeepSeek V4.1 Flash paper shows a sharp quality increase after context length is extended to 1 million tokens. They point to a similar gain in MiMo-V2.6 reinforcement-learning graphs, arguing that “agents are context hungry.”
