Skip to content
ModelCap

Model decision surface

Compare AI models

Start with Gemini 3.5 Flash Lite and Gemma 3 27B, 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

Gemini 3.5 Flash Lite vs Gemma 3 27B

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

Open 1200×630 evidence receipt
Factual comparison of Gemini 3.5 Flash Lite and Gemma 3 27B
Field
ModelCap position#33#127
Index score72.243.7
EvidenceMeasured5 public benchmark observations across 5 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.30$0.08
Output / 1M$2.50$0.45
Pricing statusfreshfresh
Context1M131K
Providers24
Weight accessAPI onlyGated access

Decision facts

  • Gemini 3.5 Flash Lite is #33; Gemma 3 27B is #127 on the same current language board.
  • Index scores are 72.2 for Gemini 3.5 Flash Lite and 43.7 for Gemma 3 27B. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $2.50 for Gemini 3.5 Flash Lite and $0.45 for Gemma 3 27B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.85 for Gemini 3.5 Flash Lite versus $0.39 for Gemma 3 27B. Gemma 3 27B costs 79.2% 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 1,048,576 tokens for Gemini 3.5 Flash Lite and 131,072 for Gemma 3 27B.
  • Weight access differs: Gemini 3.5 Flash Lite is none; Gemma 3 27B is gated.
  • ModelCap currently lists 2 providers for Gemini 3.5 Flash Lite and 4 for Gemma 3 27B.

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.