Model decision surface
Compare AI models
Start with Sonar and Laguna S 2.1, 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
Sonar vs Laguna S 2.1
Live dataset updated 8/18/2026, 3:36:20 AM UTC
Open 1200×630 evidence receipt| Field | Sonar Perplexity | Laguna S 2.1 Poolside |
|---|---|---|
| ModelCap position | #198 | #157 |
| Index score | 9.6 | 21.4 |
| Evidence | Measured1 public benchmark observation across 1 board | Estimatedglobal corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $1.00 | $0.09 |
| Output / 1M | $1.00 | $0.18 |
| Pricing status | fresh | fresh |
| Context | 127K | 1M |
| Providers | 1 | 1 |
| Weight access | API only | Restricted license |
Decision facts
- Sonar is #198; Laguna S 2.1 is #157 on the same current language board.
- Index scores are 9.6 for Sonar and 21.4 for Laguna S 2.1.
- Evidence differs: Sonar is Measured; Laguna S 2.1 is Estimated.
- Listed output price per 1M tokens is $1.00 for Sonar and $0.18 for Laguna S 2.1.
- Published context is 127,072 tokens for Sonar and 1,048,576 for Laguna S 2.1.
- Weight access differs: Sonar is none; Laguna S 2.1 is restricted.
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.