Model decision surface
Compare AI models
Start with Mercury 2 and Ling-2.6-1T, 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
Mercury 2 vs Ling-2.6-1T
Live dataset updated 8/18/2026, 3:36:20 AM UTC
Open 1200×630 evidence receipt| Field | Mercury 2 Inception Labs | Ling-2.6-1T InclusionAI |
|---|---|---|
| ModelCap position | #81 | #74 |
| Index score | 31.2 | 36.0 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.25 | $0.075 |
| Output / 1M | $0.75 | $0.625 |
| Pricing status | fresh | fresh |
| Context | 128K | 262K |
| Providers | 1 | 1 |
| Weight access | API only | API only |
Decision facts
- Mercury 2 is #81; Ling-2.6-1T is #74 on the same current language board.
- Index scores are 31.2 for Mercury 2 and 36.0 for Ling-2.6-1T.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.75 for Mercury 2 and $0.63 for Ling-2.6-1T.
- Published context is 128,000 tokens for Mercury 2 and 262,144 for Ling-2.6-1T.
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.