GitHub radar
Open Model DeepSeek-V4.1-Flash (with 1M token context)
DeepSeek published DeepSeek-V4.1-Flash, an open model that processes text and images in a 1M token context with the MIT license. What does it mean?
DeepSeek-V4.1-Flash is an open model by DeepSeek. It can process both text and images, in a 1M token context. DeepSeek says: “A mixture-of-experts model with a 552B backbone and a new architecture designed to reduce memory per token of context.” There is a parameter for how much effort you want to put into reasoning, and trades off between speed and accuracy. The model card features results for code-agent tasks using long contexts. The weights are made available under the MIT license, along with the repository.
Why a vibe-coder should care
It’s not available to use: The model uses a backbone of 552 billion parameters, which requires server hardware that costs tens of thousands of dollars, meaning that it’s out of reach for most people and available only in the cloud. A one-million token context and images are the theoretical advantages of this model over my own, Claude Code with Opus 5 and Fable 5.1, but until we see that the model card figures translate into better performance in actual use, they’re not enough to convince me to make the switch. This model could be interesting to a team who wants to build its own solution on top of open weights and is willing to pay for the computing infrastructure required.
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 try it without my own server and let me compare its answer with Claude on one of my tasks.
This is a server-grade model — you can't run it at home, use it through cloud providers.
Open on Hugging Face▌ More finds