Unverified50% confidenceFactExact time
The full Neural 3 model with 121 million parameters has an actual computational load roughly equivalent to a 50-million-parameter model.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
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Related Claims
UnverifiedFor a configuration of 1.6 trillion total parameters and 49 billion activated parameters, only about 3% of parameters participate in computation during actual inference.77% similarUnverifiedAnalysis speculates that the model is an MoE model with 2 to 4 trillion parameters, activating only approximately 150 billion parameters per token.76% similarUnverifiedA model with 100 billion parameters requires approximately 80 GB of VRAM to process a single inference request, while a model with tens of billions of parameters requires only about 20 GB.76% similarUnverifiedTongyi Qianwen 3.8 has approximately 2 trillion parameters, and Kimi has approximately 2 trillion parameters.74% similarVerifiedBefore outputting a final answer, a reasoning model's internal chain of thought may consume 3,000 to 20,000 tokens, far exceeding the approximately 500 tokens of an ordinary model.73% similar
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