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Compare AI models

Start with gemma 4 12B it and Kimi K2 Thinking, 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 Kimi K2 Thinking

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

Open 1200×630 evidence receipt
Factual comparison of gemma 4 12B it and Kimi K2 Thinking
Field
Kimi K2 Thinking

Moonshot AI

ModelCap position#44#42
Index score61.462.3
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 corpusMeasured2 public benchmark observations across 2 boards
Input / 1MUnavailable$0.60
Output / 1MUnavailable$2.50
Pricing statusunavailablefresh
Context—262K
Providers02
Weight accessOpen weightsRestricted license

Decision facts

  • gemma 4 12B it is #44; Kimi K2 Thinking is #42 on the same current language board.
  • Index scores are 61.4 for gemma 4 12B it and 62.3 for Kimi K2 Thinking. 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; Kimi K2 Thinking is Measured.
  • Weight access differs: gemma 4 12B it is open; Kimi K2 Thinking is restricted.
  • ModelCap currently lists 0 providers for gemma 4 12B it and 2 for Kimi K2 Thinking.

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.