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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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David Gorges, Managing Director

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Mistral Large 4: Europe's answer to the frontier models

Mistral released Large 4 as a public preview today. It is a 1.05-trillion-parameter Mixture-of-Experts model with 49B active parameters, text and vision input and a one-million-token context window. Mistral trained it from scratch on 3,800 Nvidia Grace Blackwell GPUs in its own European datacenters and runs it there, end to end, under European law. The weights are due as open weights by the end of October.

It doesn't quite match the leading US models, but if you need your data and your provider to stay in Europe, it is the first serious option at this size.

Read Mistral's announcement

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