AI Launch Profile

DeepSeek-V3 open model release

DeepSeek released DeepSeek-V3, a large mixture-of-experts language model with open weights and a technical report available through GitHub and Hugging Face.

Editorial image for DeepSeek-V3 open model release AI launch

At a glance

Launch Snapshot

Company
DeepSeek
Launch date
December 26, 2024
Launch type
Open-Source Release
Category
AI Open-Weight Models
Audience
Developers, Enterprises, Researchers
Pricing
Model weights are available for download; usage costs depend on self-hosting, inference provider, or DeepSeek platform/API access.
Free plan
Yes
API
Yes
Open weights/source
Yes

Verification & Sources

Status
Verified
Source links
3
Freshness
Needs recheck: verified June 8, 2026
Last verified
June 8, 2026
Last updated
June 11, 2026
Suggest a correction

Form submissions, correction notes, score details, URLs, and analytics events may be stored for editorial review, spam prevention, product improvement, and follow-up. Do not submit secrets, unreleased financials, private customer data, or regulated personal data through these forms.

Kingy Launch Score

7.4 / 10 · Solid

One earned credibility score, computed from cited evidence — not a placeholder. How the Kingy Launch Score works

Why this score

  • Source & verification 7.5/10 — The Hugging Face model page, the GitHub repository, and an arXiv paper — three first-party sources. huggingface.co
  • Product evidence 8.0/10 — A large mixture-of-experts model with open weights, a public GitHub repository, and a published technical report. github.com
  • Significance & novelty 7.0/10 — The record notes it set up the model lineage that powered the later DeepSeek-R1 release and drew major attention to efficient open models. huggingface.co
  • Traction signals not scored — insufficient sourced evidence
  • Offer clarity 6.5/10 — Weights are available for download; cost depends on self-hosting, an inference provider, or DeepSeek platform access. huggingface.co

Evidence checked 2026-07-11

Kingy AI Take

DeepSeek released DeepSeek-V3, a large mixture-of-experts model with open weights, a public repository, and a technical report on GitHub and Hugging Face (github.com). Developers, Enterprises, and Researchers exploring high-capability open models got a well-documented MoE release. The record notes this set up the lineage behind the later R1 model; operational trust, governance, and hosting requirements still need review before production use.

Who it is for

Researchers, model hosts, developers, and organizations exploring high-capability open-weight models and MoE architectures.

Traction notes

DeepSeek-V3 set up the model lineage that powered the later DeepSeek-R1 release and drew major attention to efficient open models.