Model decision surface
Compare AI models
Start with Nemotron 3 Super 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
Nemotron 3 Super vs ContextPilot E4B
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | Nemotron 3 Super NVIDIA | ContextPilot E4B Tencent |
|---|---|---|
| ModelCap position | #107 | #104 |
| Index score | 38.9 | 39.9 |
| Evidence | Measured3 public benchmark observations across 3 boards | Inheritedfinetune of google/gemma-4-E4B-it · finetune (100%) |
| Input / 1M | $0.085 | Unavailable |
| Output / 1M | $0.40 | Unavailable |
| Pricing status | fresh | unavailable |
| Context | 262K | — |
| Providers | 1 | 0 |
| Weight access | Restricted license | Restricted license |
Decision facts
- Nemotron 3 Super is #107; ContextPilot E4B is #104 on the same current language board.
- Index scores are 38.9 for Nemotron 3 Super and 39.9 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: Nemotron 3 Super is Measured; ContextPilot E4B is Inherited.
- ModelCap currently lists 1 providers for Nemotron 3 Super and 0 for ContextPilot E4B.
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.