The general-availability build of DeepSeek's flagship model — a 1.6-trillion-parameter mixture-of-experts LLM with a 1M-token context, MIT-licensed weights, and API pricing well under Western frontier models.
Last verified · 2026-08-12 · by Moe Ameen
DeepSeek V4 Pro 0813 is the general-availability release of DeepSeek V4 Pro, the flagship tier of the Chinese lab's fourth-generation model family. It shipped on August 12, 2026, ending a preview that had run since April 24, 2026, and it now sits behind DeepSeek's `deepseek-v4-pro` endpoint under the version string `DeepSeek-V4-Pro-0813`. The smaller V4-Flash tier had already graduated to official status on July 31, 2026; the 0813 build is the Pro tier's follow-through.
It is a mixture-of-experts language model with roughly 1.6 trillion total parameters and about 49 billion active per token, a context window of about 1,048,576 tokens, and a maximum output length near 384,000 tokens. The weights have been open under the MIT license since the April preview, so you can call the hosted API or self-host. DeepSeek describes an attention design it calls Compressed Sparse Attention plus a heavily compressed variant, which the company says cuts single-token inference compute to about 27% and KV cache to roughly 10% of what its V3.2 generation needed at the million-token setting — the efficiency that keeps long-context inference affordable at this scale.
It is a text-and-reasoning model, not a multimodal one: it writes, analyzes, reasons, and codes, but it generates no images, video, or audio and publishes nothing. The API exposes three operating modes — a fast non-thinking mode, a high-reasoning-effort mode, and a max-effort mode — so you trade depth for speed per request. DeepSeek reports strong results on the GA build: about 80.6% on SWE-bench Verified, 93.5% pass@1 on LiveCodeBench, 90.1% on GPQA Diamond, and a Codeforces rating around 3,206, positioning it near the top coding-and-agentic tier. On the first-party API it runs roughly $0.435 per million input tokens (cache miss), about $0.0036 per million on a cache hit, and $0.87 per million output — far below comparable Western frontier models.
The honest framing for a creator: 0813 is a stable, unusually cheap top-tier reasoning-and-writing brain, and the fixed model ID makes it safe to wire into a recurring pipeline. But it is still the upstream half of a content workflow. It drafts the script; it does not become the video, the carousel, or the scheduled calendar.
The move that makes DeepSeek V4 Pro 0813 pay off is batching. Because the GA build carries a ~384K-token maximum output and a stable model ID, you can hand it one big max-effort request — "here is my Persona Brief, my source pile, and my format list; draft this whole week" — and it returns a dozen scripts, outlines, captions, and a blog draft in a single call, without the drift of prompting each one separately. That is a genuinely powerful front-of-pipeline. What it is not is a single finished, publishable asset. That is where [Kompozy](/) picks up.
Kompozy is a full AI content generation and multi-platform publishing engine, and it is the factory that turns 0813's batch of drafts into media. Feed each draft in and Kompozy renders it into its right format — a [Persona Shorts](/glossary/persona-shorts) avatar video reading the script, a brand-exact [Carousel](/glossary/output-buckets), [Quote Graphics](/glossary/output-buckets) of the sharpest lines, [Photo Posts](/glossary/output-buckets), a formatted [Blog Article](/glossary/output-buckets), and an [Email Newsletter](/glossary/output-buckets) — all held to your [Persona Brief](/glossary/persona-brief) so the voice 0813 drafted stays consistent across every one. 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 social platforms plus blog and email. One thing to state plainly: Kompozy's own copy generation runs on Claude and OpenAI, so 0813 is your upstream drafting-and-planning choice, and Kompozy is the production-and-distribution engine that ships what it wrote.
DeepSeek V4 Pro 0813 is the general-availability release of DeepSeek's flagship V4 Pro model, shipped on August 12, 2026 after a preview that began April 24, 2026. It is a mixture-of-experts language model (roughly 1.6 trillion total / 49 billion active parameters) with about a 1-million-token context window and MIT-licensed open weights, served behind DeepSeek's deepseek-v4-pro endpoint.
On DeepSeek's first-party API it is roughly $0.435 per million input tokens on a cache miss, about $0.0036 per million on a cache hit, and $0.87 per million output — 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. Confirm current rates on deepseek.com, as pricing moves.
0813 is the production general-availability build that takes V4 Pro out of preview, with a fixed model version string (DeepSeek-V4-Pro-0813) and reported gains on coding and agentic benchmarks — about 80.6% on SWE-bench Verified and 93.5% pass@1 on LiveCodeBench. The architecture, 1.6T-parameter size, and 1M-token context carry over from the preview; DeepSeek has not detailed every training change.
No. It is a text-and-reasoning model — 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 scripts or plan in DeepSeek V4 Pro 0813, then bring them into Kompozy to generate carousels, persona/avatar video, quote cards, and images, rewrite them in your brand voice via the Persona Brief, and schedule and publish across nine destinations — the eight social platforms plus blog and email.