Model decision surface
Compare AI models
Start with UI-TARS 7B and aya expanse 32b, 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
UI-TARS 7B vs aya expanse 32b
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | UI-TARS 7B ByteDance | aya expanse 32b CohereLabs |
|---|---|---|
| ModelCap position | #127 | #128 |
| Index score | 22.5 | 22.5 |
| Evidence | Estimatedglobal corpus prior · leave-one-anchor-out calibrated | Estimatedglobal corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $0.10 | Unavailable |
| Output / 1M | $0.20 | Unavailable |
| Pricing status | fresh | unavailable |
| Context | 128K | — |
| Providers | 1 | 0 |
| Weight access | Open weights | Gated access |
Decision facts
- UI-TARS 7B is #127; aya expanse 32b is #128 on the same current language board.
- Index scores are 22.5 for UI-TARS 7B and 22.5 for aya expanse 32b.
- Both positions use Estimated evidence.
- Weight access differs: UI-TARS 7B is open; aya expanse 32b is gated.
- ModelCap currently lists 1 providers for UI-TARS 7B and 0 for aya expanse 32b.
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.