DeepSeek's fast, low-cost frontier language model — a 284B-parameter mixture-of-experts LLM (13B active) with a 1M-token context, open weights under the MIT license, and API pricing near the bottom of the market.
Last verified · 2026-07-31 · by Moe Ameen
DeepSeek-V4-Flash is the smaller, faster tier of DeepSeek's V4 model family. It is a mixture-of-experts language model with 284 billion total parameters and about 13 billion active per token, paired with a 1-million-token context window. It sits below DeepSeek-V4-Pro (roughly 1.6 trillion total parameters, 49 billion active) in capability but runs faster and costs far less, which is the whole point of the "Flash" tier. The weights are open under the MIT license and published on Hugging Face, so you can self-host as well as call the hosted API.
The V4 line first appeared as a preview on April 24, 2026, and DeepSeek moved DeepSeek-V4-Flash to an official public-beta release on July 31, 2026 (build name DeepSeek-V4-Flash-0731). That release kept the same architecture, size, and price but re-post-trained the model for markedly stronger agent and coding behavior — DeepSeek reports agent-benchmark results exceeding the earlier V4-Pro preview, and the build natively supports the Responses API format and is adapted for coding-agent tooling like Codex. The model runs in both a thinking (reasoning) and a non-thinking mode.
Two efficiency details explain the low price. First, the architecture uses token-wise compression plus DeepSeek Sparse Attention (DSA) to keep long-context inference cheap. Second, DeepSeek's first-party API prices DeepSeek-V4-Flash at about $0.14 per million input tokens (cache miss) and $0.28 per million output tokens, with cached input far cheaper — roughly a third of V4-Pro's output rate. DeepSeek's older `deepseek-chat` and `deepseek-reasoner` endpoints now route into the V4-Flash non-thinking and thinking modes. It is a text-and-reasoning model: it writes and analyzes text, and it does not generate images, video, audio, or publish anything.
DeepSeek-V4-Flash is a strong, cheap writer — but writing text is where it stops. It renders no image, cuts no clip, records no avatar, and posts to nothing. Kompozy is the layer that turns those words into finished, on-brand content across platforms. The clean division of labor: draft the raw copy in DeepSeek-V4-Flash where it is cheap, then paste that draft into Kompozy as source material and let the engine produce the actual assets — a Persona Shorts avatar video reading your script, a brand-exact Carousel, Quote Graphics, Photo Posts, a formatted Blog Article, and an Email Newsletter — all governed by your Persona Brief so the voice DeepSeek drafted lands consistently in every format.
Because DeepSeek's 1M-token context can swallow a full webinar transcript or a long PDF in one call, it pairs naturally with Kompozy's repurposing side: summarize the long source in DeepSeek, then hand the result to Kompozy to fan out into clips, carousels, and a newsletter and schedule the whole set across the eight primary social platforms plus blog and email, with a per-post review pipeline and autopilot. Note that Kompozy's own copy generation runs on Claude and OpenAI models, not DeepSeek — so DeepSeek here is your upstream drafting tool of choice, and Kompozy is the production and distribution engine that ships what you wrote.
It is the fast, low-cost tier of DeepSeek's V4 model family — a mixture-of-experts language model with about 284 billion total parameters (13 billion active per token) and a 1-million-token context window. The weights are open under the MIT license, and DeepSeek released it as an official public beta on July 31, 2026.
On DeepSeek's first-party API it is roughly $0.14 per million input tokens (cache miss) and $0.28 per million output tokens, with cached input dramatically cheaper — about a third of V4-Pro's output rate. Because the weights are open, you can also self-host to avoid per-token API fees entirely.
Flash is smaller and faster — about 284B total / 13B active parameters versus Pro's roughly 1.6T / 49B — so it costs far less and responds quicker, while Pro is the higher-capability tier. Both share the 1M-token context and the V4 architecture; Flash is the volume workhorse.
No. It is a text-and-reasoning model — it writes, summarizes, and reasons, but produces no images, video, or audio and publishes nothing. To turn its drafts into visual posts and distribute them, pair it with a content engine like Kompozy.
Draft the copy or script in DeepSeek, then bring it into Kompozy to generate carousels, persona/avatar video, quote cards, and images, rewrite it in your brand voice via the Persona Brief, and schedule and publish across nine destinations — the eight social platforms plus blog and email.