Model comparisonSo sánh model模型对比
Benchmarks
| Benchmark | Amos 1 Medium | |
|---|---|---|
| Params (total / active) | – | |
| Context | 131K | |
| Cost & speed | ||
| Cost & speed | Input $/1M↓ | Free |
| Output $/1M↓ | Free | |
Bold marks the best score in each row. ↓ means lower is better. – means no published score. Scores in percent unless the row is an index.
scira/amos-1-medium Details | |
|---|---|
| Overview | |
| Description | Amos 1 Medium is an open-weight (Apache 2.0) decision model from Scira: a 9B decoder fine-tuned from Qwen3.5-9B — fast and accurate, level with Large on typed decisions in about half the time. Context 128K tokens; about 61 ms median server time. Send a state and typed questions (noul / choice / score) and get a calibrated probability per answer in one pass — not generated chat text. English only. Call POST /api/v1/decisions (POST /api/v1/systemone is the same handler). |
| Category | Text Generation |
| Context length | 131K |
| Providers | 1 |
| Pricing (per 1M tokens) | |
| Input | $0 |
| Output | $0 |
| Capabilities | |
| Reasoning | – |
| Tool calling | – |
| Vision | – |
| Streaming | – |
| Token activity (30 days) | |
| Usage |