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.
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.
DISCOVERED
5h ago
2026-04-24
PUBLISHED
6h ago
2026-04-24
RELEVANCE
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EatABamboose