Model decision surface
Compare AI models
Start with Seed 1.6 and UI-TARS 7B, 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
Seed 1.6 vs UI-TARS 7B
Live dataset updated 8/18/2026, 3:36:20 AM UTC
Open 1200×630 evidence receipt| Field | Seed 1.6 ByteDance Seed | UI-TARS 7B ByteDance |
|---|---|---|
| ModelCap position | #127 | #132 |
| Index score | 21.4 | 21.4 |
| Evidence | Estimatedglobal corpus prior · leave-one-anchor-out calibrated | Estimatedglobal corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $0.25 | $0.10 |
| Output / 1M | $2.00 | $0.20 |
| Pricing status | fresh | fresh |
| Context | 262K | 128K |
| Providers | 1 | 1 |
| Weight access | API only | Open weights |
Decision facts
- Seed 1.6 is #127; UI-TARS 7B is #132 on the same current language board.
- Index scores are 21.4 for Seed 1.6 and 21.4 for UI-TARS 7B.
- Both positions use Estimated evidence.
- Listed output price per 1M tokens is $2.00 for Seed 1.6 and $0.20 for UI-TARS 7B.
- Published context is 262,144 tokens for Seed 1.6 and 128,000 for UI-TARS 7B.
- Weight access differs: Seed 1.6 is none; UI-TARS 7B is open.
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.