Model decision surface
Compare AI models
Start with gemma 3n E4B it and granite 4.2 3b, 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 E4B it vs granite 4.2 3b
Live dataset updated 9/3/2026, 3:06:08 AM UTC
Open 1200×630 evidence receipt| Field | gemma 3n E4B it | granite 4.2 3b IBM Granite |
|---|---|---|
| ModelCap position | #177 | #178 |
| Index score | 19.3 | 18.5 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured3 public benchmark observations across 3 boards |
| Input / 1M | Unavailable | Unavailable |
| Output / 1M | Unavailable | Unavailable |
| Pricing status | unavailable | unavailable |
| Context | 33K | 131K |
| Providers | 0 | 0 |
| Weight access | Gated access | Open weights |
Decision facts
- gemma 3n E4B it is #177; granite 4.2 3b is #178 on the same current language board.
- Index scores are 19.3 for gemma 3n E4B it and 18.5 for granite 4.2 3b.
- Both positions use Measured evidence.
- Published context is 32,768 tokens for gemma 3n E4B it and 131,072 for granite 4.2 3b.
- Weight access differs: gemma 3n E4B it is gated; granite 4.2 3b is open.
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.