Expired85% confidenceFactTime unknown
V4-Flash has a total parameter count of 284B and only 13B active parameters.
1
Sources
85%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
DeepSeek-V4发布：1.6T参数+百万上下文，开源模型新标杆
twitterdeepseek_ai
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Related Claims
UnverifiedDeepSeek-V4 Pro has 1.6T parameters with 49B activated per inference; the Flash version has 284B parameters with 13B activated.76% similarVerifiedDeepSeek V4 Flash has 284B total parameters, activates 13B per inference, and requires approximately 150GB of VRAM.69% similarUnverifiedThe NVIDIA A100's theoretical FP16 peak compute is approximately 312 TFLOPS, but GPU utilization in naive LLM inference scenarios is often below 30%.67% similarUnverifiedQwen3-235B-A22B adopts a MoE architecture, activating only 22B out of 235B total parameters at a time.65% similarUnverifiedA 2.4-trillion-parameter model requires approximately 9.6 TB of VRAM in FP32, about 4.8 TB in BF16, about 2.4 TB in INT8, and about 1.2 TB in INT4.65% similar
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