Model comparisonSo sánh model模型对比
chinhnc/quyet-1.0-large Details | |
|---|---|
| Overview | |
| Description | Quyet-1.0-Large is a calibrated decision model by Chinh Nguyen, fine-tuned from Google Gemma-4-31B-it: it reads a state (text, JSON, or a conversation) and a typed question, and returns one option with calibrated probabilities — not generated chat text. Call POST /api/v1/decisions (POST /api/v1/systemone is the same handler). |
| Category | Text Generation |
| Context length | 10K |
| Providers | 1 |
| Pricing (per 1M tokens) | |
| Input | $0.08 |
| Output | $0 |
| Capabilities | |
| Reasoning | – |
| Tool calling | – |
| Vision | – |
| Streaming | – |
| Token activity (30 days) | |
| Usage |