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ModelCap

Model decision surface

Compare AI models

Start with gemma 4 12B it and GPT-5.5 Pro, 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 4 12B it vs GPT-5.5 Pro

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

Open 1200×630 evidence receipt
Factual comparison of gemma 4 12B it and GPT-5.5 Pro
Field
ModelCap position#44#49
Index score61.459.1
EvidenceEstimatedpublisher-corpus-prior over 182 held-out anchors (7%); launch card against 3 resolved peers on 6 rows (93%); no cross-lab optimism probe available; shrunk 0.3 up toward the measured corpusMeasuredpublisher-corpus-prior over 182 held-out anchors (61%); 1 specialist-board observation at 2.1% support (40%); shrunk 14.6 toward the measured corpus
Input / 1MUnavailable$30.00
Output / 1MUnavailable$180
Pricing statusunavailablefresh
Context1M
Providers01
Weight accessOpen weightsAPI only

Decision facts

  • gemma 4 12B it is #44; GPT-5.5 Pro is #49 on the same current language board.
  • Index scores are 61.4 for gemma 4 12B it and 59.1 for GPT-5.5 Pro. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: gemma 4 12B it is Estimated; GPT-5.5 Pro is Measured.
  • Weight access differs: gemma 4 12B it is open; GPT-5.5 Pro is none.
  • ModelCap currently lists 0 providers for gemma 4 12B it and 1 for GPT-5.5 Pro.

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.