The latest generation of DeepSeek's open-weight model family — a two-tier lineup (V4-Pro and V4-Flash) of mixture-of-experts language models with a 1M-token context, MIT-licensed weights, and API pricing well below Western frontier models.
Last verified · 2026-08-03 · by Moe Ameen
DeepSeek V4 is the fourth-generation model family from DeepSeek, the Chinese AI lab. It shipped as two mixture-of-experts language models: V4-Pro, the flagship, with roughly 1.6 trillion total parameters and about 49 billion active per token, and V4-Flash, the fast, cheap tier, with about 284 billion total parameters and roughly 13 billion active. Both share a 1-million-token context window, and both are released as open weights under the MIT license on Hugging Face, so you can call the hosted API or self-host. The V4 line first appeared as a preview on April 24, 2026, and V4-Flash moved to public beta on July 31, 2026, with V4-Pro's official release still to follow.
It is a text-and-reasoning family, not a multimodal one — it writes, analyzes, reasons, and codes, but it does not generate images, video, or audio, and it publishes nothing. Each model runs in two modes: a "thinking" (reasoning) mode for hard problems and a faster non-thinking mode for everyday drafting. DeepSeek positions V4 against Western frontier models like OpenAI's GPT-5 series and Anthropic's Claude Opus 4.8, and reports strong software-engineering results — over 80% on SWE-bench Verified for the Pro tier — alongside gains in agentic and long-context work.
Two efficiency choices explain the low cost. The architecture leans on DeepSeek Sparse Attention (DSA) plus token compression to keep long-context inference close to linear rather than quadratic, and the mixture-of-experts design activates only a fraction of the parameters per token. On DeepSeek's first-party API, V4-Flash runs near the bottom of the market — roughly $0.14 per million input tokens (cache miss) and $0.28 per million output — while V4-Pro is still far cheaper than comparable Western frontier models, at roughly $0.44 per million input and $0.87 per million output, with cached input dramatically cheaper on both tiers.
The honest framing for a creator: V4 is a genuinely strong, unusually cheap writing-and-reasoning brain, and the open weights make private, high-volume drafting realistic. But a brain that stops at text is the upstream half of a content workflow. It drafts the script; it does not become the video, the carousel, or the scheduled calendar.
The most useful way to think about DeepSeek V4 in a content operation is as the strategist and the writer's room, not the studio. V4-Pro's thinking mode plus the 1M-token context is unusually good at the messy front of a pipeline: pour in a quarter of podcast transcripts, a course, or a stack of research, and it reasons over the whole pile to pull the angles, structure a content calendar, and draft the actual scripts and outlines — cheaply, or entirely privately if you self-host the open weights. V4-Flash then batches out the volume of variations. What none of that produces is a single finished, publishable asset. That is where Kompozy takes over.
Kompozy is a full AI content generation and multi-platform publishing engine, and it is the studio that turns V4's plans and scripts into media. Hand a DeepSeek-drafted script to Kompozy and it renders a Persona Shorts avatar video reading it, a brand-exact Carousel, Quote Graphics of the sharpest lines, Photo Posts, a formatted Blog Article, and an Email Newsletter — all held to your Persona Brief so the voice DeepSeek drafted stays consistent across every format. Then Autopilot and a per-post review pipeline reframe each asset to 9:16, 1:1, and 16:9 and schedule and publish across nine destinations — the eight primary social platforms plus blog and email. One note worth stating plainly: Kompozy's own copy generation runs on Claude and OpenAI models, so DeepSeek V4 is your upstream drafting-and-planning choice, and Kompozy is the production-and-distribution engine that ships what it wrote.
DeepSeek V4 is the fourth-generation open-weight model family from the Chinese AI lab DeepSeek. It ships as two mixture-of-experts language models — V4-Pro (roughly 1.6 trillion total / 49 billion active parameters) and V4-Flash (about 284 billion / 13 billion active) — both with a 1-million-token context window and MIT-licensed weights. It previewed on April 24, 2026, and V4-Flash reached public beta on July 31, 2026, with V4-Pro's official release still to follow.
On DeepSeek's first-party API, V4-Flash is roughly $0.14 per million input tokens (cache miss) and $0.28 per million output, and V4-Pro is roughly $0.44 per million input and $0.87 per million output, with cached input far cheaper on both — well below comparable Western frontier models. Because the weights are open under the MIT license, you can also self-host to avoid per-token fees.
V4-Pro is the higher-capability flagship (roughly 1.6T total / 49B active parameters) for the hardest reasoning and coding; V4-Flash is smaller and faster (about 284B / 13B active) for cheap, high-volume drafting. Both share the 1M-token context and the V4 architecture, and both run in thinking and non-thinking modes.
No. DeepSeek V4 is a text-and-reasoning family — it writes, summarizes, reasons, and codes, but it produces no images, video, or audio and publishes nothing. To turn its scripts and drafts into finished visual posts and distribute them, pair it with a content engine like Kompozy.
Draft the script or plan in DeepSeek V4, 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.