DeepSeek-V4-Pro ships with 1.6T-param MoE; open-source eval harness steals the show
DeepLearningAI · x · 2026-09-03
DeepSeek released DeepSeek-V4-Pro-0813: a 1.6T-param MoE (49B active) with 1M input / 384K output context, adjustable reasoning, tool calls, and MIT-licensed weights. It scores 53 on AA's Intelligence Index (3rd among open weights) but only slightly beats its Flash model. API prices rose: $1.32/$0.044/$3.96 per 1M input/cached/output tokens at peak, half off-peak. The bigger story may be its free open-source agent harness, which logs every tool call, system prompt, and subagent schedule so devs can reproduce benchmarks and fork their own harnesses.
Related event: DeepSeek-V4-Pro Officially Launches With 1.6T Params And 1M Context(2 posts)→
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