Model decision surface
Compare AI models
Start with Fara1.5 4B and Fara1.5 9B, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
Fara1.5 4B vs Fara1.5 9B
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | Fara1.5 4B Microsoft | Fara1.5 9B Microsoft |
|---|---|---|
| ModelCap position | #112 | #102 |
| Index score | 37.2 | 39.9 |
| Evidence | Inheritedfinetune of Qwen/Qwen3.5-4B · finetune (100%) | Inheritedfinetune of qwen/qwen3.5-9b · finetune (100%) |
| Input / 1M | Unavailable | Unavailable |
| Output / 1M | Unavailable | Unavailable |
| Pricing status | unavailable | unavailable |
| Context | — | — |
| Providers | 0 | 0 |
| Weight access | Open weights | Open weights |
Decision facts
- Fara1.5 4B is #112; Fara1.5 9B is #102 on the same current language board.
- Index scores are 37.2 for Fara1.5 4B and 39.9 for Fara1.5 9B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Inherited evidence.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.