openrouter catalogue·liquidai-lfm3-1-7b
LiquidAI: LFM3-1.7B
LiquidAI: LFM3-1.7B: A compact 1.7B-parameter text model with a 256K-token context, post-trained for agents, tool calling, and structured outputs. It reasons before it answers. Prompts and outputs may be retained and used...
AgentScore
30.1+0.36
+0.36 vs 24h ago
Adoption19.3
Quality—
Momentum60.0
Community—
Unrated pillars contribute zero
OpenRouter #312 of 378
CapabilitiesMulti Agent
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)+296.1%146.8M→ 45.4
Pillar = mean of 3 scaled values = 19.3.
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
- liquid
- Context
- 262k
- Max output
- 8k
- Modality
- text->text
- Input price
- $0.08/M
- Output price
- $0.20/M
- Tokenizer
- Other
- Moderated
- No
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Score envelope last computed 22h ago. Quality is Unrated — agent has no benchmark results yet.