Model decision surface
Compare AI models
Start with Ling-3.0-flash and Ling 3.0 Flash Fin, 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 Ling 3.0 Flash Fin
Live dataset updated 9/3/2026, 2:54:47 AM UTC
Open 1200×630 evidence receipt| Field | Ling-3.0-flash InclusionAI | Ling 3.0 Flash Fin InclusionAI |
|---|---|---|
| ModelCap position | #49 | #101 |
| Index score | 51.7 | 24.7 |
| Evidence | Measured1 public benchmark observation across 1 board | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $0.021 | Free |
| Output / 1M | $0.063 | Free |
| Pricing status | fresh | fresh |
| Context | 262K | 262K |
| Providers | 2 | 1 |
| Weight access | Open weights | API only |
Decision facts
- Ling-3.0-flash is #49; Ling 3.0 Flash Fin is #101 on the same current language board.
- Index scores are 51.7 for Ling-3.0-flash and 24.7 for Ling 3.0 Flash Fin.
- Evidence differs: Ling-3.0-flash is Measured; Ling 3.0 Flash Fin is Estimated.
- Listed output price per 1M tokens is $0.06 for Ling-3.0-flash and $0 for Ling 3.0 Flash Fin.
- Published context is 262,144 tokens for Ling-3.0-flash and 262,144 for Ling 3.0 Flash Fin.
- Weight access differs: Ling-3.0-flash is open; Ling 3.0 Flash Fin is none.
- ModelCap currently lists 2 providers for Ling-3.0-flash and 1 for Ling 3.0 Flash Fin.
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.