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MODELS · 1 SOURCE · The Decoder

Deepseek releases Deepseek‑V4.1‑Flash‑1017, open-sources weights and opens search APIs

Chinese company Deepseek released Deepseek‑V4.1‑Flash‑1017 and published the model weights on Hugging Face and ModelScope. The company says the model—trained with reinforcement learning using self-feedback—runs faster, produces shorter outputs, beats larger rivals in its internal coding and agent benchmarks, and is paired with new Search & Fetch APIs for developers; independent verification of the benchmark claims is not yet available.

6.0

MODELS · 1 SOURCE · The Decoder

Tencent unveils Gander, a real-time multimodal agent with separate 'cerebellum' and swappable 'brain'

Tencent researchers introduced Gander, a multimodal research model that processes speech, images, and text continuously and separates roles into a low-latency conversational "cerebellum" and a swappable reasoning "brain" for complex agent tasks. The team reports strong timing performance on Full-Duplex-Bench v3, admits weaker task accuracy and audiovisual perception in some tests, has a GitHub code repo and demos, and plans to release model weights and training data.

7.0

MODELS · 1 SOURCE · DeepSeek

DeepSeek launches DeepSeek‑V4.1‑Flash with new causal encoder–decoder and lower costs

DeepSeek announced DeepSeek‑V4.1‑Flash, a smaller-native-vision model using a new Causal Encoder–Decoder design (8B active params for input, 16B for output), new pretraining and larger-scale RL post-training, plus KV‑cache compression. The company is retiring V4‑Flash variants, routing deepseek-v4-pro traffic to V4.1‑Flash from 04:00 UTC on Sept 14, 2026, and changing pricing (new rates take effect 04:00 UTC on Sept 10, 2026) while partners WorkBuddy, CodeBuddy and OpenCode already support V4.1‑Flash.

8.0