Model decision surface
Compare AI models
Start with gemma 2 2b it and gemma 3n E2B it, 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 2 2b it vs gemma 3n E2B it
Live dataset updated 9/22/2026, 3:10:38 AM UTC
Open 1200×630 evidence receipt| Field | gemma 2 2b it | gemma 3n E2B it |
|---|---|---|
| ModelCap position | #232 | #180 |
| Index score | 7.5 | 25.2 |
| Evidence | Measured1 public benchmark observation across 1 board | Inheritedfinetune of google/gemma-3n-E4B-it · finetune (100%) |
| Input / 1M | Unavailable | Unavailable |
| Output / 1M | Unavailable | Unavailable |
| Pricing status | unavailable | unavailable |
| Context | — | — |
| Providers | 0 | 0 |
| Weight access | Gated access | Gated access |
Decision facts
- gemma 2 2b it is #232; gemma 3n E2B it is #180 on the same current language board.
- Index scores are 7.5 for gemma 2 2b it and 25.2 for gemma 3n E2B it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: gemma 2 2b it is Measured; gemma 3n E2B it is Inherited.
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.