BACK_TO_FEEDAICRIER_2
DeepSeek-V4-Pro-Max tops coding, reasoning benchmarks
OPEN_SOURCE ↗
REDDIT · REDDIT// 5h 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

5h ago

2026-04-24

PUBLISHED

6h ago

2026-04-24

RELEVANCE

10/ 10

AUTHOR

EatABamboose