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ModelCap

Model decision surface

Compare AI models

Start with gemma 4 12B it and LongCat Flash Thinking 2601, 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 LongCat Flash Thinking 2601

Live dataset updated 9/9/2026, 10:25:31 PM UTC

Open 1200×630 evidence receipt
Factual comparison of gemma 4 12B it and LongCat Flash Thinking 2601
Field
ModelCap position#45#46
Index score61.461.1
EvidenceEstimatedpublisher-corpus-prior over 183 held-out anchors (6%); launch card against 3 resolved peers on 6 rows (94%); no cross-lab optimism probe available; shrunk 0.2 up toward the measured corpusEstimatedglobal-corpus-prior over 183 held-out anchors (11%); launch card against 4 resolved peers on 3 rows (89%); exceeds every named peer on 1 of 3 rows; optimism haircut 0.15 from cross-lab-probe; shrunk 0.9 toward the measured corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • gemma 4 12B it is #45; LongCat Flash Thinking 2601 is #46 on the same current language board.
  • Index scores are 61.4 for gemma 4 12B it and 61.1 for LongCat Flash Thinking 2601. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Estimated evidence.

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.