DeepSeek releases V4.1-Flash, API pricing cut alongside

DeepSeek 发布 V4.1-Flash，API 价格同步下调

DeepSeek launched V4.1-Flash today, the smallest model in a new architecture family with native multimodal vision. The new design targets higher ceiling, faster inference, and larger throughput, and is meant to scale to bigger models. V4.1-Flash scores 90.9 on GPQA Diamond, 3471 Codeforces rating, and 36.8 on HLE. Set model name to deepseek-flash in the API; old V4 Flash and V4 Flash Vision Exp are offline and requests are temporarily routed to V4.1-Flash. DeepSeek also claims V4.1-Flash beats V4 Pro on performance, cost, and speed, so V4 Pro requests will be routed to V4.1-Flash starting Sep 14 and billed at Flash rates. API pricing is cut, but the post doesn't list the new numbers—check the pricing page.

Why it matters: DeepSeek ships the first model from its new architecture — vision-native, strong benchmarks, lower pricing. A substantive release from a top Chinese lab. HKR all hit, scored 86. Not higher because this is the smallest variant and the post doesn't detail the new architecture's ...