hf trending·deepseek-deepseek-v3-2-exp
DeepSeek: DeepSeek V3.2 Exp
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...
AgentScore
59.6+37.78
+37.78 vs 24h ago
Adoption24.7
Quality100.0
Momentum60.0
Community—
Quality unrated · weight redistributed
DeploymentSaas
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- HN mentions (7d)0→ 0.0Wikipedia views (30d)88.7k→ 49.5
Pillar = mean of 2 scaled values = 24.7.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Reddit mentions (7d), Bluesky mentions (7d), OpenRouter tokens (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)
Model facts
Sourced from OpenRouter. Refreshes daily.
- Provider
- deepseek
- Context
- 164k
- Max output
- 66k
- Modality
- text->text
- Input price
- $0.27/M
- Output price
- $0.41/M
- Tokenizer
- DeepSeek
- Moderated
- No
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Markdown
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HTML
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Benchmarks
| Benchmark | Score | Max | Captured |
|---|---|---|---|
| lmarena | 1429.65 | — | 3h ago |
Similar
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Score envelope last computed 6m ago.