Model decision surface
Compare AI models
Start with Laguna S 2.1 and Relace Search, 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
Laguna S 2.1 vs Relace Search
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Laguna S 2.1 Poolside | Relace Search Relace |
|---|---|---|
| ModelCap position | #152 | #155 |
| 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 | $0.09 | $1.00 |
| Output / 1M | $0.18 | $3.00 |
| Pricing status | fresh | fresh |
| Context | 1M | 256K |
| Providers | 1 | 1 |
| Weight access | Restricted license | API only |
Decision facts
- Laguna S 2.1 is #152; Relace Search is #155 on the same current language board.
- Index scores are 22.5 for Laguna S 2.1 and 22.5 for Relace Search.
- Both positions use Estimated evidence.
- Listed output price per 1M tokens is $0.18 for Laguna S 2.1 and $3.00 for Relace Search.
- Published context is 1,048,576 tokens for Laguna S 2.1 and 256,000 for Relace Search.
- Weight access differs: Laguna S 2.1 is restricted; Relace Search is none.
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.