Old Zhang's AI Learning
Sep 10, 2026 · Artificial Intelligence
DeepSeek-V4.1-Flash: 8B Activated Model Beats 1.6T V4-Pro, Local Deployment Tested
DeepSeek-V4.1-Flash open-sourced with CED architecture and 8B/16B activated parameters outperforms its 1.6T predecessor V4-Pro on coding benchmarks, approaches GPT-6 Astra on DeepSWE, but requires 510GB FP8 weights needing 8×H200 for full-context local deployment; author tests across six harnesses finding Claude Code/Codex integration near peak performance.
AI model evaluationCED architectureDeepSWE
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