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ModelCap

Model decision surface

Compare AI models

Start with Gemma 4 31B and Kimi K3, 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 K3

Live dataset updated 9/22/2026, 9:31:46 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 4 31B and Kimi K3
Field
Kimi K3

Moonshot AI

ModelCap position#29#12
Index score73.884.0
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured6 public benchmark observations across 6 boards
Input / 1M$0.09$3.00
Output / 1M$0.34$15.00
Pricing statusfreshfresh
Context262K1M
Providers1117
Weight accessOpen weightsRestricted license

Decision facts

  • Gemma 4 31B is #29; Kimi K3 is #12 on the same current language board.
  • Index scores are 73.8 for Gemma 4 31B and 84.0 for Kimi K3. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.34 for Gemma 4 31B and $15.00 for Kimi K3. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.35 for Gemma 4 31B versus $13.50 for Kimi K3. Gemma 4 31B costs 97.4% 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 262,144 tokens for Gemma 4 31B and 1,048,576 for Kimi K3.
  • Weight access differs: Gemma 4 31B is open; Kimi K3 is restricted.
  • ModelCap currently lists 11 providers for Gemma 4 31B and 17 for Kimi K3.

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.