YOU ARE VIEWING ONE ITEM FROM THE AICRIER FEED

DeepSeek-V4-Pro-Max tops coding, reasoning benchmarks

AICrier tracks AI developer news across Product Hunt, GitHub, Hacker News, YouTube, X, arXiv, and more. This page keeps the article you opened front and center while giving you a path into the live feed.

// WHAT AICRIER DOES

7+

TRACKED FEEDS

24/7

SCRAPED FEED

Short summaries, external links, screenshots, relevance scoring, tags, and featured picks for AI builders.

DeepSeek-V4-Pro-Max tops coding, reasoning benchmarks
OPEN LINK ↗
// 45d agoBENCHMARK RESULT

DeepSeek-V4-Pro-Max tops coding, reasoning benchmarks

DeepSeek-V4-Pro is a 1.6 trillion parameter MoE model featuring a "Pro Max" reasoning mode that achieves an 80.6% solve rate on SWE-bench Verified. The architecture introduces hybrid attention that reduces KV cache requirements by 90% while supporting a massive 1-million-token context window.

// ANALYSIS

DeepSeek has bridged the reasoning gap with top-tier closed models, proving that open-weights MoE architectures remain an efficient path to frontier performance. The "Think Max" reasoning mode enables significant inference-time compute scaling, while the 90% reduction in KV cache requirements via hybrid attention offers massive infrastructure wins for long-context deployments. Matching frontier models on agentic tasks makes DeepSeek a viable primary choice for autonomous developer tools.

// TAGS
deepseek-v4-prollmreasoningmoebenchmarkopen-weightsai-coding

DISCOVERED

45d ago

2026-04-24

PUBLISHED

45d ago

2026-04-24

RELEVANCE

10/ 10

AUTHOR

EatABamboose