DeepSeek V3.2

ai model→ stable

DeepSeek V3.2 is an open-weight AI model developed by DeepSeek, achieving a 67.25% pass@2 score on the ARC-AGI-1 benchmark via an agent harness, and is notable for its role in advancing Chinese AI models to compete with frontier systems.

1Total Mentions

+0.60Sentiment (Very Positive)

+1.2%Velocity (7d)

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First seen: Jul 9, 2026Last active: 14h ago

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Research MilestoneJul 9, 2026
Moghe & Chin achieve 67.25% pass@2 on ARC-AGI-1 using DeepSeek V3.2 in non-thinking mode at $0.62/task with no fine-tuning.
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cost:
$0.62 per task

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ARC-AGI-1
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