Skip to content
ModelCap

Model decision surface

Compare AI models

Start with Jamba Large 1.7 and Gemma 3 12B, 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

Jamba Large 1.7 vs Gemma 3 12B

Live dataset updated 8/18/2026, 3:36:20 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Jamba Large 1.7 and Gemma 3 12B
Field
ModelCap position#115#177
Index score21.420.3
EvidenceEstimatedglobal corpus prior · leave-one-anchor-out calibratedMeasured3 public benchmark observations across 3 boards
Input / 1M$2.00$0.05
Output / 1M$8.00$0.15
Pricing statusfreshfresh
Context256K131K
Providers11
Weight accessGated accessGated access

Decision facts

  • Jamba Large 1.7 is #115; Gemma 3 12B is #177 on the same current language board.
  • Index scores are 21.4 for Jamba Large 1.7 and 20.3 for Gemma 3 12B.
  • Evidence differs: Jamba Large 1.7 is Estimated; Gemma 3 12B is Measured.
  • Listed output price per 1M tokens is $8.00 for Jamba Large 1.7 and $0.15 for Gemma 3 12B.
  • Published context is 256,000 tokens for Jamba Large 1.7 and 131,072 for Gemma 3 12B.

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.