openrouter catalogue·qwen-qwen3-8-27b-batch
Qwen: Qwen3.8 27B (batch)
Qwen: Qwen3.8 27B (batch): Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
AgentScore
15.90.00
+0.00 vs 24h ago
Adoption0.0
Quality—
Momentum—
Community—
Unrated pillars contribute zero
OpenRouter #368 of 378
CapabilitiesCode GenerationResearch
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→ 0.0GitHub mentions (7d)0→ 0.0OpenRouter tokens (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), Mastodon mentions (7d), Wikipedia views (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
Model facts
Sourced from OpenRouter. Refreshes daily.
- Provider
- qwen
- Context
- 262k
- Max output
- 236k
- Modality
- text+image+video->text
- Input price
- $0.16/M
- Output price
- $2.00/M
- Tokenizer
- Qwen
- Moderated
- No
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Score envelope last computed 2d ago. Quality is Unrated — agent has no benchmark results yet.