Model decision surface
Compare AI models
Start with Ling 3.0 tiny and ContextPilot E4B, 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 tiny vs ContextPilot E4B
Live dataset updated 9/13/2026, 2:40:29 PM UTC
Open 1200×630 evidence receipt| Field | Ling 3.0 tiny InclusionAI | ContextPilot E4B Tencent |
|---|---|---|
| ModelCap position | #104 | #106 |
| Index score | 41.9 | 41.3 |
| Evidence | Measured1 public benchmark observation across 1 board | Inheritedfinetune of google/gemma-4-E4B-it · finetune (100%) |
| Input / 1M | Unavailable | Unavailable |
| Output / 1M | Unavailable | Unavailable |
| Pricing status | unavailable | unavailable |
| Context | — | — |
| Providers | 0 | 0 |
| Weight access | Open weights | Restricted license |
Decision facts
- Ling 3.0 tiny is #104; ContextPilot E4B is #106 on the same current language board.
- Index scores are 41.9 for Ling 3.0 tiny and 41.3 for ContextPilot E4B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Ling 3.0 tiny is Measured; ContextPilot E4B is Inherited.
- Weight access differs: Ling 3.0 tiny is open; ContextPilot E4B is restricted.
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.