Model decision surface
Compare AI models
Start with Ling-2.6-1T and Hy-MT2-1.8B, 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
Ling-2.6-1T vs Hy-MT2-1.8B
Live dataset updated 8/20/2026, 8:25:40 PM UTC
Open 1200×630 evidence receipt| Field | Ling-2.6-1T InclusionAI | Hy-MT2-1.8B Tencent |
|---|---|---|
| ModelCap position | #79 | #76 |
| Index score | 36.0 | 36.9 |
| Evidence | Measured1 public benchmark observation across 1 board | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $0.075 | $0.044 |
| Output / 1M | $0.625 | $0.177 |
| Pricing status | fresh | fresh |
| Context | 262K | 8K |
| Providers | 1 | 1 |
| Weight access | API only | Open weights |
Decision facts
- Ling-2.6-1T is #79; Hy-MT2-1.8B is #76 on the same current language board.
- Index scores are 36.0 for Ling-2.6-1T and 36.9 for Hy-MT2-1.8B.
- Evidence differs: Ling-2.6-1T is Measured; Hy-MT2-1.8B is Estimated.
- Listed output price per 1M tokens is $0.63 for Ling-2.6-1T and $0.18 for Hy-MT2-1.8B.
- Published context is 262,144 tokens for Ling-2.6-1T and 8,192 for Hy-MT2-1.8B.
- Weight access differs: Ling-2.6-1T is none; Hy-MT2-1.8B is open.
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.