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DeepSeek-V4.1-Flash: new encoder-decoder architecture, native vision, and V4 Pro gets rerouted from September 14

DeepSeek’s pitch for V4.1-Flash is straightforward: more capability with less computation. The new model understands images, supports up to one million tokens of context, and narrowly beats the larger V4-Pro in DeepSeek’s own benchmarks. Its weights are available under the MIT license, giving developers room to customize and host it themselves. The substantial memory requirements, however, will likely put self-hosting out of reach for many businesses.

The bigger news is in the API documentation: starting September 14, requests to the existing V4-Pro endpoint will automatically route to Flash until a new Pro model arrives. That means different model behavior without anyone touching the code, billed at Flash rates: $0.30 per million uncached input tokens and $1.20 per million output tokens during peak hours. Our take: put your workflows through another round of testing. Better benchmark scores are welcome, but they won’t tell you whether your support automation or document processing still works reliably after the switch.

Read the model card on Hugging Face
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Dekkode at IBC 2026 in Amsterdam

From 11 to 14 September we're at IBC 2026 in Amsterdam — no booth of our own, but you'll find us hanging around the German Pavilion at the RAI most of the time. We're there to network: catching up with partners, customers and friends from the broadcast and media industry. If you're around too, get in touch.

php-mjml is open source: our MJML renderer for PHP

MJML turns a simple markup language into responsive HTML email, usually with a Node toolchain doing the work behind it. We ported it to PHP end to end: php-mjml/php-mjml needs no Node.js, no second runtime in the deployment. It has rendered this website's emails since February; as of this week it's open under the MIT licence for anyone to use.

View the repository on GitHub

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