Model decision surface
Compare AI models
Start with gemma 3n E2B it and Nemotron 3 Nano 30B A3B, 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
gemma 3n E2B it vs Nemotron 3 Nano 30B A3B
Live dataset updated 9/13/2026, 2:40:29 PM UTC
Open 1200×630 evidence receipt| Field | gemma 3n E2B it | Nemotron 3 Nano 30B A3B NVIDIA |
|---|---|---|
| ModelCap position | #162 | #159 |
| Index score | 22.5 | 24.1 |
| Evidence | Inheritedfinetune of google/gemma-3n-E4B-it · finetune (100%) | Measured2 public benchmark observations across 2 boards |
| Input / 1M | Unavailable | $0.05 |
| Output / 1M | Unavailable | $0.20 |
| Pricing status | unavailable | fresh |
| Context | — | 262K |
| Providers | 0 | 4 |
| Weight access | Gated access | Restricted license |
Decision facts
- gemma 3n E2B it is #162; Nemotron 3 Nano 30B A3B is #159 on the same current language board.
- Index scores are 22.5 for gemma 3n E2B it and 24.1 for Nemotron 3 Nano 30B A3B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: gemma 3n E2B it is Inherited; Nemotron 3 Nano 30B A3B is Measured.
- Weight access differs: gemma 3n E2B it is gated; Nemotron 3 Nano 30B A3B is restricted.
- ModelCap currently lists 0 providers for gemma 3n E2B it and 4 for Nemotron 3 Nano 30B A3B.
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.