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ModelCap

Model decision surface

Compare AI models

Start with Command A 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

Command A vs Gemma 3 27B

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

Open 1200×630 evidence receipt
Factual comparison of Command A and Gemma 3 27B
Field
Command A

Cohere

ModelCap position#118#115
Index score34.335.9
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$2.50$0.08
Output / 1M$10.00$0.45
Pricing statusfreshfresh
Context256K131K
Providers14
Weight accessGated accessGated access

Decision facts

  • Command A is #118; Gemma 3 27B is #115 on the same current language board.
  • Index scores are 34.3 for Command A and 35.9 for Gemma 3 27B. 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 $10.00 for Command A 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 $10.00 for Command A versus $0.39 for Gemma 3 27B. Gemma 3 27B costs 96.2% 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 256,000 tokens for Command A and 131,072 for Gemma 3 27B.
  • ModelCap currently lists 1 providers for Command A 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.