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...
| Field | Per token (USD) | Per million |
|---|---|---|
| prompt | 0 | — |
| completion | 0 | — |
{
"temperature": 0.1,
"top_k": 50,
"repetition_penalty": 1.1
}