DeepSeek · DeepSeek
Open weights
DeepSeek V4.1 Flash
An open-weight mixture-of-experts model that reads text and images. Its architecture focuses on efficient long-context and agent workloads, with support for up to one million tokens.
What’s driving attention
1 distinct story in the last 7 days, compared with 0 in the previous period.
New coverage
90% of US working hours are spent on tasks not covered well by AI benchmarksCommunity reaction
Insufficient discussion
0 analyzed discussions
At least three independent discussions with model-specific evidence are needed for an overall sentiment label. Reactions reflect the communities covered by Themata.
Early observations
What people value
No supported observations in this period.
What people question
No supported observations in this period.
Connected articles
90% of US working hours are spent on tasks not covered well by AI benchmarks
· 0 supporting sampled comments
Downloads and access
1,276,459 downloads
Last 30 days · Hugging Face
As of
4,554 likes on Hugging Face
Downloads cover this Hugging Face repository over the last 30 days, including repeat and automated requests. They do not measure unique users or include downloads from other repositories.
How to read this page
Attention reflects distinct stories, recency, capped engagement, and growth within Themata’s coverage. Sentiment is evaluated separately, with equal weight per discussion. Generic company or family mentions are not assigned to a specific release. “Open weights” describes access to model weights; license conditions still apply. Download counts come from Hugging Face and cover the last 30 days, regardless of the selected coverage period. They do not measure unique users.