DeepSeek-V4.1-Flash Targets Efficient Million-Token Inference
DeepSeek coverage highlights V4.1-Flash's reported MIT license, 1M-token context, sparse attention, FP4 KV caching, cross-layer attention reuse, N-gram memory, and agent-oriented post-training. The architecture may improve memory use and serving economics, but efficiency claims, benchmark integrity, and practical hardware support remain unverified.
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Updated Sep 12, 2026