Model decision surface
Compare AI models
Start with Ling 3.0 tiny and Ring 2.6 1T, 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 tiny vs Ring 2.6 1T
Live dataset updated 10/2/2026, 3:44:10 AM UTC
Open 1200×630 evidence receipt| Field | Ling 3.0 tiny InclusionAI | Ring 2.6 1T InclusionAI |
|---|---|---|
| ModelCap position | #97 | #79 |
| Index score | 54.8 | 59.4 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured1 public benchmark observation across 1 board |
| Input / 1M | Unavailable | Unavailable |
| Output / 1M | Unavailable | Unavailable |
| Pricing status | unavailable | unavailable |
| Context | — | — |
| Providers | 0 | 0 |
| Weight access | Open weights | Open weights |
Decision facts
- Ling 3.0 tiny is #97; Ring 2.6 1T is #79 on the same current language board.
- Index scores are 54.8 for Ling 3.0 tiny and 59.4 for Ring 2.6 1T. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured 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.