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DeepSeek-V4.1-Flash: Open Model With a 1M-Token Context
DeepSeek released V4.1-Flash, an open multimodal model with a one-million-token context under the MIT license — I review what it changes for founders building with agents.
DeepSeek-V4.1-Flash is a new open model from DeepSeek. It natively works with images and text and supports contexts of up to one million tokens. DeepSeek describes it as a mixture-of-experts model with 552B backbone parameters and a new architecture built to shrink the memory needed per token of context. It has a reasoning-effort setting that trades inference cost for accuracy, and the card reports results on coding-agent benchmarks run with long contexts. The weights and the repository are released under the MIT license.
Why a vibe-coder should care
For a founder the value is not running it at home — you can't. It is having a strong open model with a permissive license, so you are not locked into one vendor's pricing. The long context also changes how you work with agents: you can give it a whole documentation set or a large chunk of a codebase in one request instead of feeding it piece by piece, which means fewer round trips. The adjustable reasoning effort is a direct cost lever — dial it down for routine tasks, up for hard ones.
How to install
Copy this and send it to your agent — Claude Code, Codex, any of them:
Look into DeepSeek-V4.1-Flash at https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash — find where I can use it without my own server and estimate from published prices what my task would cost.
Это серверная модель — дома не запустить, работать с ней реально через облачных провайдеров.
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