Model decision surface
Compare AI models
Start with Laguna S 2.1 and Inkling, 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 Inkling
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | Laguna S 2.1 Poolside | Inkling Thinking Machines |
|---|---|---|
| ModelCap position | #40 | #41 |
| Index score | 63.3 | 62.9 |
| Evidence | Estimated5 reported rows against measured corpus ladders (67%); global-corpus-prior over 182 held-out anchors (33%); shrunk 4.8 toward the measured corpus | Measured5 public benchmark observations across 5 boards |
| Input / 1M | $0.09 | $1.00 |
| Output / 1M | $0.18 | $4.05 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 1 | 3 |
| Weight access | Restricted license | Open weights |
Decision facts
- Laguna S 2.1 is #40; Inkling is #41 on the same current language board.
- Index scores are 63.3 for Laguna S 2.1 and 62.9 for Inkling. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Laguna S 2.1 is Estimated; Inkling is Measured.
- Listed output price per 1M tokens is $0.18 for Laguna S 2.1 and $4.05 for Inkling. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.27 for Laguna S 2.1 versus $4.03 for Inkling. Laguna S 2.1 costs 93.3% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 1,048,576 tokens for Laguna S 2.1 and 1,048,576 for Inkling.
- Weight access differs: Laguna S 2.1 is restricted; Inkling is open.
- ModelCap currently lists 1 providers for Laguna S 2.1 and 3 for Inkling.
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.