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)
0.0%Velocity (7d)
First seen: Jul 9, 2026Last active: Jul 9, 2026
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1- 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.
View source- cost:
- $0.62 per task
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Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W28 | 0.60 | 1 |