552B parameters. Just 8B–16B activated per token.
DeepSeek-V4.1-Flash is showing where efficient AI is heading: massive models, sparse activation, 1M-token context, native vision, and serious coding performance at a fraction of the cost. More parameters don’t always mean more
The free ai models board just got Claude Fable 5.1, GPT-5.6, and Gemini 3.1 Pro.
These ones burn fast. Verdent: Fable 5.1, Opus 5, GPT-5.6, Gemini 3.1 Pro, Kimi K3 · 100 credits / 7d: AWS Free Tier: Claude / Llama / Mistral / Nova / DeepSeek on
As a result of fully automatically generating the #VRChat world using only #DeepSeek...the product quality exceeded Astra...what is this...?
DeepSeek 4.1 Flash VS GPT-6 Astra at simulating planets
Both rendered by
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