{"entity":{"display_name":"DeepSeek-V4-Flash-0731","kind":"series","slug":"deepseek-v4-flash-0731"},"facts":[{"id":"f_9d6d6dec986cddbf14351025","predicate":"mention","value":{"text":"The MoE model has 284 billion total parameters and 13 billion active parameters."},"as_of_date":"2026-08-09","first_seen_at":1786301641,"last_verified_at":1786301641,"confidence":0.9,"sources_count":1},{"id":"f_4e8c1a9ff6361337163158df","predicate":"mention","value":{"text":"Third-party tests by Artificial Analysis rate its intelligence on par with Google's Gemini 3.6 Flash, and it outperforms GLM-5.2 in coding and GPT-5.6 Luna in agent performance."},"as_of_date":"2026-08-09","first_seen_at":1786301641,"last_verified_at":1786301641,"confidence":0.9,"sources_count":1},{"id":"f_1da77f52b604dbeb438ffe9c","predicate":"mention","value":{"text":"The release continues DeepSeek's pattern of high-performance open models, with V4-Flash-0731 offering cost efficiency below the recently discounted GPT-5.6 Luna."},"as_of_date":"2026-08-09","first_seen_at":1786301641,"last_verified_at":1786301641,"confidence":0.9,"sources_count":1}],"relations_incoming":[{"id":"rel_6e9c5b3361e6e6894823d97a","predicate":"produces","subject_slug":"deepseek","value":{"year":2026},"as_of_date":"2026-08-09","first_seen_at":1786301641,"confidence":0.9,"sources_count":1}],"relations_outgoing":[],"updated_at":"2026-08-09T22:44:27.000Z","verification_summary":{"contradicted":0,"disputed":0,"overall":"unverified","supported":0,"unverified":4}}