Model decision surface
Compare AI models
Start with Ling-3.0-flash and Ring-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
Ling-3.0-flash vs Ring-2.6-1T
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Ling-3.0-flash InclusionAI | Ring-2.6-1T InclusionAI |
|---|---|---|
| ModelCap position | #42 | #61 |
| Index score | 53.0 | 42.5 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.021 | $0.075 |
| Output / 1M | $0.063 | $0.625 |
| Pricing status | fresh | fresh |
| Context | 262K | 262K |
| Providers | 2 | 1 |
| Weight access | Open weights | API only |
Decision facts
- Ling-3.0-flash is #42; Ring-2.6-1T is #61 on the same current language board.
- Index scores are 53.0 for Ling-3.0-flash and 42.5 for Ring-2.6-1T.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.06 for Ling-3.0-flash and $0.63 for Ring-2.6-1T.
- Published context is 262,144 tokens for Ling-3.0-flash and 262,144 for Ring-2.6-1T.
- Weight access differs: Ling-3.0-flash is open; Ring-2.6-1T is none.
- ModelCap currently lists 2 providers for Ling-3.0-flash and 1 for Ring-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.