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Public story · 2026-09-10 · high
The model card also shows DeepSeek's own harness beating Claude Code and Codex on the same weights.
Why now: The card posted at 02:17 UTC on September 10, hours before any independent test of the scaffold numbers could run.
DeepSeek posted a model card for V4.1-Flash at 02:17 UTC on September 10, releasing the weights under an MIT license.
The model activates 8B parameters on prefill and 16B on decode out of a 552B backbone. Its persistent KV cache footprint drops to about an eighth of V4-Flash's, which matters for anyone running the full 1M-token context.
The drop comes from a Causal Encoder-Decoder design. It projects the decoder's global KV cache from the encoder's final hidden states, instead of building that cache layer by layer. DeepSeek pairs it with a second technique it calls SWA Bounded Replay.
On DeepSeek's own numbers, V4.1-Flash scores 90.6 on Terminal-Bench 2.1, 74.2 on DeepSWE v1.1, and 3471 on Codeforces.
The card also runs a scaffold comparison on the same weights. DeepSeek's minimal in-house harness scores 90.6, ahead of Claude Code at 88.0 and Codex at 84.1. DeepSeek built that harness and ran the grading itself, against two scaffolds it doesn't control. That's a vendor picking the ruler it gets measured with, not an independent test.
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