DeepSeek introduces V4.1-Flash with native visual understanding
DeepSeek calls it the smallest model in its new architecture family and says it is designed for greater capability, faster inference and higher throughput.
DeepSeek calls it the smallest model in its new architecture family and says it is designed for greater capability, faster inference and higher throughput.

DeepSeek announced V4.1-Flash on September 10, describing it as the smallest model in its new architecture family. The company says it has native visual understanding, and that the design aims for greater capability, faster inference, higher throughput and scaling to larger models.
๐ Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. ๐น Introducing the smallest model in our new architecture family, with native visual understanding. ๐น Designed for greater capability, faster inference, higher throughput, and scaling to larger models. 1/6
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DeepSeek calls it the smallest model in its new architecture family and says it is designed for greater capability, faster inference and higher throughput.

DeepSeek announced V4.1-Flash on September 10, describing it as the smallest model in its new architecture family. The company says it has native visual understanding, and that the design aims for greater capability, faster inference, higher throughput and scaling to larger models.
๐ Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. ๐น Introducing the smallest model in our new architecture family, with native visual understanding. ๐น Designed for greater capability, faster inference, higher throughput, and scaling to larger models. 1/6
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