hf trending·qwen-qwen3-vl-32b-instruct
Qwen: Qwen3 VL 32B Instruct
Qwen: Qwen3 VL 32B Instruct: Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
AgentScore
21.80.00
+0.00 vs 24h ago
Adoption0.0
Quality—
Momentum60.0
Community—
Quality unrated · weight redistributed
CapabilitiesVision
DeploymentIde PluginSaas
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→ 0.0GitHub mentions (7d)0→ 0.0Wikipedia views (30d)0→ 0.0
Pillar = mean of 3 scaled values = 0.0.
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
Model facts
Sourced from OpenRouter. Refreshes daily.
- Provider
- qwen
- Context
- 131k
- Max output
- 33k
- Modality
- text+image->text
- Input price
- $0.10/M
- Output price
- $0.42/M
- Tokenizer
- Qwen
- Moderated
- No
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Score envelope last computed 5m ago. Quality is Unrated — agent has no benchmark results yet.