{"data":{"slug":"deepseek-v4","etype":"model","name":"DeepSeek-V4","cat":"Language","subtitle":"The efficiency school scales up: 1.6T parameters, MIT license, 1M context.","summary":"DeepSeek-V4 went live in preview on April 24, 2026 in Pro and Flash variants with API access and open weights under MIT. V4 Pro is a 1.6-trillion-parameter mixture-of-experts activating 49B per token, pairing MoE with sparse attention for a 1M-token context — and posting 80.6% on SWE-bench Verified (as reported in launch coverage), frontier-class coding from an open model. It extends the V3/R1 lineage's argument that engineering efficiency, not raw compute access, sets the pace under export controls.","attrs":[{"b":"Reported","g":"Overview","l":"Architecture","v":"MoE + sparse attention; 1.6T total / 49B active"},{"b":"Reported","g":"Overview","l":"Coding","v":"80.6% SWE-bench Verified"}],"kf":{"params":"1.6T (49B active)","context":"1M","weights":"Open (MIT)","modality":"Text","rel_date":"2026-04","developer":"DeepSeek"},"aliases":["DeepSeek V4","V4 Pro","V4 Flash"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":"Current","region":null,"asof":"2026-08-31","sources":[{"url":"https://codersera.com/blog/open-source-llms-landscape-2026/","label":"Open-source LLM landscape 2026 (V4 details)"},{"url":"https://www.deepseek.com/","label":"DeepSeek"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T03:39:24+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}