Summary
| Model | Identity | Context | Latency* | Best for |
|---|---|---|---|---|
| plugsky-lite | Llama 3.2 3B | 128K tokens | ~0.24s median | High-volume chat, classification, extraction, low-latency agents |
*Median measured latency on the live API at https://api.plugsky.com/v1.
Specs
| Property | Value |
|---|---|
| Model family | Llama 3.2 (3B) |
| Context window | 128K tokens |
| Measured latency | ~0.24s median on the live API |
| Capabilities | Tool/function calling, streaming, long context |
| Available on | Free plan and above |
When to use plugsky-lite
- High-volume traffic — support bots, classification, extraction.
- Cost-sensitive workloads — smallest model that passes your eval.
- Edge-latency needs — interactive UX that cannot wait a second.
Use it
curl https://api.plugsky.com/v1/chat/completions \
-H "Authorization: Bearer sk-live-..." \
-H "Content-Type: application/json" \
-d '{"model":"plugsky-lite","messages":[{"role":"user","content":"hi"}],"stream":true}'
FAQ
How fast is it really?
Median ~0.24s in live measurements on the public API.
Is it accurate enough for production?
For structured, high-volume tasks — yes. For deep reasoning, pair it with plugsky-micro for hard prompts.
Get started in minutes
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