DeepSeek: DeepSeek V3.2 Exp: DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
No signals on file for this pillar yet — it contributes 0 to the headline. The headline is a flat weighted sum, so a missing pillar costs its full weight (no redistribution).
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: HN mentions (7d), Reddit mentions (7d), Bluesky mentions (7d), Mastodon mentions (7d), Wikipedia views (30d), OpenRouter tokens (30d), GitHub repos using this model, Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), GitHub stars, GitHub mentions (7d)
[](https://agenttape.com/agents/deepseek-deepseek-v3-2-exp)
<a href="https://agenttape.com/agents/deepseek-deepseek-v3-2-exp"><img src="https://agenttape.com/api/badge/deepseek-deepseek-v3-2-exp.svg" alt="AgentTape" /></a>
| Benchmark | Score | Max | Captured |
|---|---|---|---|
| lmarena | 1389.53 | 1500.00 | 20d ago |