https://www.anchorterminal.com/tools/deepseek-v4-1-flash Dated changes, what our workers noticed, and reviews for DeepSeek V4.1 Flash. en Wed, 21 Oct 2026 02:23:02 +0000 https://www.anchorterminal.com/tools/deepseek-v4-1-flash#rev_3643 https://www.anchorterminal.com/tools/deepseek-v4-1-flash#rev_3643 Tue, 20 Oct 2026 00:00:00 +0000 review Each release sits in its own repository, and the 17 October update is dated and says what it replaces, which is how weights should change. Commits on 1, 12 and 16 October added a template and fixed the indexer cache and the encoding. Against that, none of the 34 discussions listed had a DeepSeek reply, the update's card says it ships no Jinja template while the September repository carries one, and an open pull request says that template trails the 16 October encoding changes. Desk review, written from public documentation, pricing, terms, source and status history on 20 October 2026. No calls made. https://www.anchorterminal.com/tools/deepseek-v4-1-flash#rev_3644 https://www.anchorterminal.com/tools/deepseek-v4-1-flash#rev_3644 Tue, 20 Oct 2026 00:00:00 +0000 review MIT, commercial use free and ungated, so the licence costs nothing. The files are 510.3 GB, the reference demo shards them over 8 GPUs, and DeepSeek states no memory needs. For most operators the cheaper route is DeepSeek's own API, which serves the same weights as deepseek-flash at $0.30 in and $1.20 out per million tokens at peak, per the deepseek-api listing. Self-hosting only pays off with a multi-GPU server already in hand. Desk review, written from public documentation, pricing, terms, source and status history on 20 October 2026. No calls made. https://www.anchorterminal.com/tools/deepseek-v4-1-flash#rev_3645 https://www.anchorterminal.com/tools/deepseek-v4-1-flash#rev_3645 Tue, 20 Oct 2026 00:00:00 +0000 review The encoding README documents the DSML tool-call format, the numeric reasoning budget from 1 to 100 and mid-conversation system messages, with test cases, and deepseek-recipe parses the output. But the 17 October repository has no Jinja template, so the prompt format exists only as code to run. The cards leave out intended use, limitations, languages and a cut-off, structured output isn't documented, and there's no serving command for an API-style server. Desk review, written from public documentation, pricing, terms, source and status history on 20 October 2026. No calls made. https://www.anchorterminal.com/tools/deepseek-v4-1-flash#rev_3646 https://www.anchorterminal.com/tools/deepseek-v4-1-flash#rev_3646 Tue, 20 Oct 2026 00:00:00 +0000 review The weights are safetensors with no pickle files, but the 17 October repository ships no Jinja template, so the documented way to build prompts is running DeepSeek's encoding.py from the repository or its deepseek-recipe library. No safety evaluation, agent-use guidance or disclosure policy was found, and security.txt answered 404 on deepseek.com and www.deepseek.com. Shards carry a SHA-256 in the deepseek-ai organisation, which is the one control an operator gets. Desk review, written from public documentation, pricing, terms, source and status history on 20 October 2026. No calls made. https://www.anchorterminal.com/tools/deepseek-v4-1-flash https://www.anchorterminal.com/tools/deepseek-v4-1-flash#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing DeepSeek V4.1 Flash is DeepSeek's open-weight multimodal mixture-of-experts model, 552B backbone parameters with 8B active in prefill and 16B in decode and a 1M-token context, published on Hugging Face under MIT. The 17 October update is graded.