Model decision surface
Compare AI models
Start with Ling-3.0-flash and UI Mate 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 vs UI Mate 27B
Live dataset updated 9/3/2026, 3:06:08 AM UTC
Open 1200×630 evidence receipt| Field | Ling-3.0-flash InclusionAI | UI Mate 27B Tencent |
|---|---|---|
| ModelCap position | #49 | #52 |
| Index score | 51.7 | 48.8 |
| Evidence | Measured1 public benchmark observation across 1 board | Inheritedfinetune · finetune |
| Input / 1M | $0.021 | Unavailable |
| Output / 1M | $0.063 | Unavailable |
| Pricing status | fresh | unavailable |
| Context | 262K | — |
| Providers | 2 | 0 |
| Weight access | Open weights | Open weights |
Decision facts
- Ling-3.0-flash is #49; UI Mate 27B is #52 on the same current language board.
- Index scores are 51.7 for Ling-3.0-flash and 48.8 for UI Mate 27B.
- Evidence differs: Ling-3.0-flash is Measured; UI Mate 27B is Inherited.
- ModelCap currently lists 2 providers for Ling-3.0-flash and 0 for UI Mate 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.