Official product guides and resources for MonkeyCode.
RESEARCH TOPIC
7 research articles and engineering guides tagged “DeepSeek V4”. Each opens with a concise answer and links to primary evidence.
DeepSeek launched V4-Flash on July 31 — same 284B/13B-active architecture, but post-training alone pushed Agent scores past V4-Pro preview. V4-Pro (1.6T/49B-active) arrives early August. What it means for coding teams.
Read news analysisDeepSeek launched V4-Flash production release on July 31. Same architecture, post-training only, and Agent scores crushed the V4-Pro preview. V4-Pro is coming in August. The 3-minute briefing.
Read news analysisA data-driven comparison of DeepSeek V4-Flash against GPT-5.6, Claude Opus 4.6, Kimi K3, and GLM-5.2 across agent benchmarks, cost, licensing, and deployment flexibility.
Read news analysisA practical guide to migrating your coding agent from GPT-4o or Claude to DeepSeek V4-Flash. API setup, code examples, cost comparison, and gotchas.
Read researchDeepSeek V4-Flash production release isn't just a model launch — it's an ecosystem event. At 1/10 the cost of GPT-4o with MIT licensing, it reshapes the economics of AI coding for every player in the market.
Read news analysisDeepSeek V4-Flash production release proves that post-training is the real lever. A 13B-active model beating a 1.6T preview through training methodology alone is a paradigm shift — and most teams haven't noticed yet.
Read news analysisA technical analysis of DeepSeek V4-Flash production release: MoE architecture, hybrid sparse attention, benchmark methodology, and what the 6.5× DeepSWE jump reveals about modern model training.
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