Model decision surface
Compare AI models
Start with Ling 3.0 Flash Fin and Fara1.5 27B, 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
Ling 3.0 Flash Fin vs Fara1.5 27B
Live dataset updated 9/12/2026, 1:09:54 PM UTC
Open 1200×630 evidence receipt| Field | Ling 3.0 Flash Fin InclusionAI | Fara1.5 27B Microsoft |
|---|---|---|
| ModelCap position | #78 | #80 |
| Index score | 51.3 | 50.8 |
| Evidence | Inheritedfinetune of inclusionai/ling-3.0-flash · finetune (100%) | Inheritedfinetune of qwen/qwen3.5-27b · finetune (100%) |
| Input / 1M | $0.06 | Unavailable |
| Output / 1M | $0.18 | Unavailable |
| Pricing status | fresh | unavailable |
| Context | 262K | — |
| Providers | 1 | 0 |
| Weight access | Open weights | Open weights |
Decision facts
- Ling 3.0 Flash Fin is #78; Fara1.5 27B is #80 on the same current language board.
- Index scores are 51.3 for Ling 3.0 Flash Fin and 50.8 for Fara1.5 27B. 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.
- ModelCap currently lists 1 providers for Ling 3.0 Flash Fin and 0 for Fara1.5 27B.
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.