[AINews] DeepSeek v4.1-Flash: 763B-P8B-D16B novel causal Encoder–Decoder architecture with vision marks the Return of the Whale
AINews' technical deep dive frames the architecture as v5-caliber.
11 items · 2 sources · 8 days
Operational story trace
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Latest change
A Sep 27 shattered.io write-up claims V4.1-Flash beats Anthropic's Opus 5 at 70% lower cost -- the fifth benchmark comparison in this series since launch, now aimed at a Western flagship instead of DeepSeek's own prior models, still with no independent verification.
DeepSeek's V4.1-Flash arrived as a smaller, faster model, and a Sep 12 analysis called its encoder-decoder design a v5-caliber step. On Sep 13 DeepSeek quantified the efficiency claim as a 75% HBM and 87.5% SSD cut.
State over time
AINews' technical deep dive frames the architecture as v5-caliber.
Puts exact numbers on the memory cut: 75% less HBM, 87.5% less SSD.
DeepSeek starts serving all V4-Pro API traffic with V4.1-Flash, at Flash's lower price.
Publishes the 552B-parameter MoE spec behind the efficiency claims.
A community uncensored fine-tune passes 2,254 downloads.
Cached-input pricing falls again, to $0.003 per million tokens.
Independent benchmark puts V4-Pro 11 points ahead of Qwen3-Coder and Devstral on coding tasks.
A second outlet restates the causal encoder-decoder design with added specifics: 1M-token context and extreme KV-cache compression.
ZenMux launches DeepSeek V4.1-Flash for high-throughput reasoning, the first third-party host to pick it up.
A fourth benchmark write-up in the series puts the V4.1-Flash/V4-Pro/V4-Flash gap at 4.4x, still without independent verification of DeepSeek's own efficiency numbers.
A fifth benchmark write-up claims the model beats Anthropic's Opus 5 at 70% lower cost, still without independent verification.
AINews' technical deep dive frames the architecture as v5-caliber.
Puts exact numbers on the memory cut: 75% less HBM, 87.5% less SSD.
DeepSeek starts serving all V4-Pro API traffic with V4.1-Flash, at Flash's lower price.
Publishes the 552B-parameter MoE spec behind the efficiency claims.
A community uncensored fine-tune passes 2,254 downloads.
Cached-input pricing falls again, to $0.003 per million tokens.
Independent benchmark puts V4-Pro 11 points ahead of Qwen3-Coder and Devstral on coding tasks.
A second outlet restates the causal encoder-decoder design with added specifics: 1M-token context and extreme KV-cache compression.
ZenMux launches DeepSeek V4.1-Flash for high-throughput reasoning, the first third-party host to pick it up.
A fourth benchmark write-up in the series puts the V4.1-Flash/V4-Pro/V4-Flash gap at 4.4x, still without independent verification of DeepSeek's own efficiency numbers.
A fifth benchmark write-up claims the model beats Anthropic's Opus 5 at 70% lower cost, still without independent verification.
What to watch — open questions
Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.