DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is a text chat model released by DeepSeek, the Chinese AI lab whose DeepSeek-named model series has been widely served through third-party inference providers. The "Flash" designation marks it as the latency- and throughput-oriented member of the V4.1 generation, intended for workloads where response speed and per-request cost matter more than squeezing out the last few points of benchmark accuracy. Independent measurements collected by Artificial Analysis put DeepSeek V4.1 Flash at approximately 267 output tokens per second with a time to first token of about 896 milliseconds. Those two numbers describe the model's practical behavior fairly well: generation is fast once it starts, while initial latency sits in the sub-second range typical of hosted API models rather than the tens of milliseconds achievable on specialized inference hardware. We do not currently track a confirmed context window, modality list, or tool-calling specification for this entry, so check your provider's model card for those details before building against them. In practice, a Flash-tier model like this is chosen for high-request-volume applications — chat front ends, summarization pipelines, retrieval-augmented answering, and bulk text transformation — where sustained token throughput determines how many concurrent users a deployment can serve. Compared with larger siblings in the same family, the trade-off is the usual one: faster and cheaper per token, with less headroom on long multi-step reasoning. Because DeepSeek models are commonly offered by multiple hosts, serving characteristics and pricing for this model vary meaningfully between providers; see the pricing table on this page for current options.