Model decision surface
Compare AI models
Start with Agnes 3.0 Flash and Laguna XS 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
Agnes 3.0 Flash vs Laguna XS 2.1
Live dataset updated 9/12/2026, 1:09:54 PM UTC
Open 1200×630 evidence receipt| Field | Agnes 3.0 Flash Agnes AI | Laguna XS 2.1 Poolside |
|---|---|---|
| ModelCap position | #77 | #79 |
| Index score | 51.8 | 51.3 |
| Evidence | Estimatedglobal-corpus-prior over 188 held-out anchors (10%); launch card against 2 resolved peers on 5 rows (91%); exceeds every named peer on 1 of 5 rows; optimism haircut 0.3 from cross-lab-probe; shrunk 0.1 up toward the measured corpus | Estimated3 reported rows against measured corpus ladders (32%); global-corpus-prior over 188 held-out anchors (69%); shrunk 3.4 up toward the measured corpus |
| Input / 1M | Unavailable | $0.06 |
| Output / 1M | Unavailable | $0.12 |
| Pricing status | unavailable | fresh |
| Context | — | 262K |
| Providers | 0 | 1 |
| Weight access | Open weights | Restricted license |
Decision facts
- Agnes 3.0 Flash is #77; Laguna XS 2.1 is #79 on the same current language board.
- Index scores are 51.8 for Agnes 3.0 Flash and 51.3 for Laguna XS 2.1. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Estimated evidence.
- Weight access differs: Agnes 3.0 Flash is open; Laguna XS 2.1 is restricted.
- ModelCap currently lists 0 providers for Agnes 3.0 Flash and 1 for Laguna XS 2.1.
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.