Verified claim · AI-ML · 100% confidence
DeepSeek-V3 publicly released on: 2024-12-26 by DeepSeek AI — 671B-parameter MoE (37B active), open weights.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 035eaae4aa32e74d
Structured fields
- Subject
- DeepSeek-V3
- Predicate
publicly_released_on- Object
- 2024-12-26 by DeepSeek AI — 671B-parameter MoE (37B active), open weights
- Confidence
- 100%
- Tags
- deepseek-v3 · deepseek · moe · open-weight · frontier-model · released_on · 2024
Sources (2)
[1] github release · DeepSeek AI · 2024-12-26
DeepSeek-V3 Technical Report — official GitHub repository“DeepSeek-V3 is a strong Mixture-of-Experts (MoE) language model with 671B total parameters and 37B activated per token.”
[2] preprint · arXiv · 2024-12-26
DeepSeek-V3 Technical Report
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DeepSeek-V3 publicly released on: 2024-12-26 by DeepSeek AI — 671B-parameter MoE (37B active), open weights. — SourceScore Claim 035eaae4aa32e74d (verified 2026-05-16). https://sourcescore.org/api/v1/claims/035eaae4aa32e74d.jsonEmbed this claim
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Frequently asked questions
Is the claim "DeepSeek-V3 publicly released on: 2024-12-26 by DeepSeek AI — 671B-parameter MoE (37B active), open weights." verified?
Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "DeepSeek-V3 publicly released on: 2024-12-26 by DeepSeek AI — 671B-parameter MoE (37B active), open weights."?
Evidence comes from 2 primary sources: DeepSeek AI, arXiv. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/035eaae4aa32e74d.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
How can I cite this SourceScore claim in my code or article?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/035eaae4aa32e74d.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
Use this claim in your code
Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.
cURL
curl https://sourcescore.org/api/v1/claims/035eaae4aa32e74d.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/035eaae4aa32e74d.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "DeepSeek-V3 publicly released on: 2024-12-26 by DeepSeek AI — 671B-parameter MoE (37B active), open weights."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/035eaae4aa32e74d.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "DeepSeek-V3 publicly released on: 2024-12-26 by DeepSeek AI — 671B-parameter MoE (37B active), open weights."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_deepseek_v3_fact() -> dict:
"""Fetch the verified SourceScore claim for DeepSeek-V3."""
r = httpx.get("https://sourcescore.org/api/v1/claims/035eaae4aa32e74d.json")
return r.json()