Model decision surface
Compare AI models
Start with K2 Horizon 32B 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
K2 Horizon 32B vs Ling 3.0 Flash Fin
Live dataset updated 9/10/2026, 11:40:10 AM UTC
Open 1200×630 evidence receipt| Field | Ling 3.0 Flash Fin InclusionAI | |
|---|---|---|
| ModelCap position | #87 | #85 |
| Index score | 48.6 | 49.7 |
| Evidence | Estimatedglobal-corpus-prior over 185 held-out anchors (49%); launch card against 2 resolved peers on 8 rows (51%); exceeds every named peer on 1 of 8 rows; optimism haircut 1.3 from cross-lab-probe; shrunk 4.7 up toward the measured corpus | Inheritedfinetune of inclusionai/ling-3.0-flash · finetune (100%) |
| Input / 1M | Unavailable | $0.06 |
| Output / 1M | Unavailable | $0.18 |
| Pricing status | unavailable | fresh |
| Context | — | 262K |
| Providers | 0 | 1 |
| Weight access | Open weights | Open weights |
Decision facts
- K2 Horizon 32B is #87; Ling 3.0 Flash Fin is #85 on the same current language board.
- Index scores are 48.6 for K2 Horizon 32B and 49.7 for Ling 3.0 Flash Fin. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: K2 Horizon 32B is Estimated; Ling 3.0 Flash Fin is Inherited.
- ModelCap currently lists 0 providers for K2 Horizon 32B 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.