Model decision surface
Compare AI models
Start with Fara1.5 4B and Nemotron 3 Super, 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
Fara1.5 4B vs Nemotron 3 Super
Live dataset updated 9/9/2026, 11:54:07 PM UTC
Open 1200×630 evidence receipt| Field | Fara1.5 4B Microsoft | Nemotron 3 Super NVIDIA |
|---|---|---|
| ModelCap position | #115 | #111 |
| Index score | 37.1 | 38.9 |
| Evidence | Inheritedfinetune of Qwen/Qwen3.5-4B · finetune (100%) | Measured3 public benchmark observations across 3 boards |
| Input / 1M | Unavailable | $0.085 |
| Output / 1M | Unavailable | $0.40 |
| Pricing status | unavailable | fresh |
| Context | — | 262K |
| Providers | 0 | 1 |
| Weight access | Open weights | Restricted license |
Decision facts
- Fara1.5 4B is #115; Nemotron 3 Super is #111 on the same current language board.
- Index scores are 37.1 for Fara1.5 4B and 38.9 for Nemotron 3 Super. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Fara1.5 4B is Inherited; Nemotron 3 Super is Measured.
- Weight access differs: Fara1.5 4B is open; Nemotron 3 Super is restricted.
- ModelCap currently lists 0 providers for Fara1.5 4B and 1 for Nemotron 3 Super.
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.