DeepSeek V4-Flash is the lighter member of the DeepSeek V4 family \u2014 284B total parameters
\nwith roughly 13B active per token, a 1M-token context window, and open MIT weights. At $0.14
\nin \/ $0.28 out per million tokens it is priced for high-volume use, and it is one of the
\nstrongest capability-per-dollar options anywhere in the market.<\/p>\n
The number worth internalising is the blended rate of about $0.17 per million tokens
\nagainst a frontier model’s $10. That is a ~60\u00d7 spread for a model that still scores in the
\nrespectable middle of the intelligence rankings, which makes V4-Flash the obvious candidate
\nfor any workload where volume matters more than peak reasoning: bulk classification,
\ndocument processing, first-pass summarisation, synthetic data generation, and the retrieval
\nlayer of a RAG pipeline. The 1M context at that price is close to unmatched. Self-hosting is
\npossible but not casual \u2014 about 140 GB of VRAM at 4-bit, so two H100 80GBs \u2014 which for most
\nteams means the API is the practical route and the open weights are insurance rather than a
\ndeployment plan.<\/p>","protected":false},"excerpt":{"rendered":"
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