Skip to content
ModelCap

Model decision surface

Compare AI models

Start with North Mini Code and Gemma 3 27B, 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

North Mini Code vs Gemma 3 27B

Live dataset updated 9/13/2026, 2:40:29 PM UTC

Open 1200×630 evidence receipt
Factual comparison of North Mini Code and Gemma 3 27B
Field
ModelCap position#129#117
Index score33.637.7
EvidenceEstimated3 reported rows against measured corpus ladders (57%); publisher-corpus-prior over 186 held-out anchors (43%); shrunk 13.7 toward the measured corpusMeasured2 public benchmark observations across 2 boards
Input / 1MFree$0.08
Output / 1MFree$0.45
Pricing statusfreshfresh
Context256K131K
Providers14
Weight accessOpen weightsGated access

Decision facts

  • North Mini Code is #129; Gemma 3 27B is #117 on the same current language board.
  • Index scores are 33.6 for North Mini Code and 37.7 for Gemma 3 27B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: North Mini Code is Estimated; Gemma 3 27B is Measured.
  • Listed output price per 1M tokens is $0 for North Mini Code and $0.45 for Gemma 3 27B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0 for North Mini Code versus $0.39 for Gemma 3 27B. North Mini Code costs 100.0% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
  • Published context is 256,000 tokens for North Mini Code and 131,072 for Gemma 3 27B.
  • Weight access differs: North Mini Code is open; Gemma 3 27B is gated.
  • ModelCap currently lists 1 providers for North Mini Code and 4 for Gemma 3 27B.

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.