Text Gen · Model Guide · 5 min read

DeepSeek V4.1 Flash

DeepSeek's cost-efficiency tier: a 552B sparse MoE that beats its own Pro tier on speed and task completion.

Basic Information

DeepSeek V4.1 Flash is the budget tier of the V4.1 family and one of the most-used API models of 2026: a sparse mixture-of-experts built on DeepSeek's Causal Encoder-Decoder architecture that activates only ~8B parameters on input and ~16B on output from a 552B backbone. Vision understanding is native to the architecture, and a compressed KV-cache design cuts cache memory to roughly a quarter of the previous generation — one reason its long-context agentic pricing is so aggressive.

DeepSeek positions it above V4 Pro on performance per dollar; with million-token context and pricing around $0.15/$0.60 per million tokens, it is the default 'cheap but genuinely good' choice for high-volume workloads.

Best use cases

• High-volume chat and extraction pipelines where per-token cost dominates
• Long-horizon agents — the 1.05M-token context and cheap cache suit multi-step tasks
• Coding and terminal agents at a fraction of flagship pricing
• Self-hosted evaluation: weights are open, so the same model can run on your own cluster

Computational Requirements

Open but datacenter-class: a quarter-terabyte of VRAM at Q4 means realistic local serving is a multi-GPU cluster or a cloud GPU rental.

• For individuals, the API tier is the intended path — the model's whole design premise is cheap serving.

Commercial license

Open weights under DeepSeek's permissive MIT-style license — commercial use and self-hosting permitted. As always with bespoke releases, check the exact license file in the model repository.