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ModelCap

Model decision surface

Compare AI models

Start with Gemma 4 31B 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 31B vs Kimi K2 Thinking

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 4 31B and Kimi K2 Thinking
Field
Kimi K2 Thinking

Moonshot AI

ModelCap position#30#32
Index score60.058.5
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.10$0.60
Output / 1M$0.34$2.50
Pricing statusfreshfresh
Context262K262K
Providers162
Weight accessOpen weightsRestricted license

Decision facts

  • Gemma 4 31B is #30; Kimi K2 Thinking is #32 on the same current language board.
  • Index scores are 60.0 for Gemma 4 31B and 58.5 for Kimi K2 Thinking.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.34 for Gemma 4 31B and $2.50 for Kimi K2 Thinking.
  • Published context is 262,144 tokens for Gemma 4 31B and 262,144 for Kimi K2 Thinking.
  • Weight access differs: Gemma 4 31B is open; Kimi K2 Thinking is restricted.
  • ModelCap currently lists 16 providers for Gemma 4 31B 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.