Unverified50% confidenceFactExact time
If an enterprise has cluster-level computing resources and can run DeepSeek's open-source ultra-large-parameter models (download size can reach hundreds of GB), the performance of locally deployed models can also reach a fairly good level.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
VerifiedDeepSeek is developing a larger frontier model, aiming to compete at the trillion-parameter scale.78% similarUnverifiedDeepSeek, with its efficient inference via MoE architecture, and Qwen, with its complete model size matrix and permissive commercial licensing, form the domestically developed open-source camp.77% similarPartially VerifiedLiang Wenfeng stated that DeepSeek's most powerful models will also be open-sourced, and that the open-source models are identical to the self-deployed models.73% similarUnverifiedRepresentative open-source models for monocular depth estimation include MiDaS and Depth Anything, which can run locally on consumer-grade GPUs.73% similarUnverifiedModels such as MiniMax and DeepSeek provide both APIs and open-source weights.73% similar
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