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 | 0.00000008 | $0.080 |
| completion | 0.0000002 | $0.200 |
| input_cache_read | 0.00000002 | $0.020 |
{
"temperature": 0.1,
"top_k": 50,
"repetition_penalty": 1.1
}