Skip to content
ModelCap

Model decision surface

Compare AI models

Start with Gemma 3 27B and Fara1.5 4B, 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 3 27B vs Fara1.5 4B

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 3 27B and Fara1.5 4B
Field
Fara1.5 4B

Microsoft

ModelCap position#115#112
Index score35.937.2
EvidenceMeasured3 public benchmark observations across 3 boardsInheritedfinetune of Qwen/Qwen3.5-4B · finetune (100%)
Input / 1M$0.08Unavailable
Output / 1M$0.45Unavailable
Pricing statusfreshunavailable
Context131K—
Providers40
Weight accessGated accessOpen weights

Decision facts

  • Gemma 3 27B is #115; Fara1.5 4B is #112 on the same current language board.
  • Index scores are 35.9 for Gemma 3 27B and 37.2 for Fara1.5 4B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Gemma 3 27B is Measured; Fara1.5 4B is Inherited.
  • Weight access differs: Gemma 3 27B is gated; Fara1.5 4B is open.
  • ModelCap currently lists 4 providers for Gemma 3 27B and 0 for Fara1.5 4B.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

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.