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ModelCap

Model decision surface

Compare AI models

Start with Command A and Command A+, 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 Command A+

Live dataset updated 9/23/2026, 2:26:54 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Command A and Command A+
Field
Command A

Cohere

ModelCap position#136#87
Index score40.956.3
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$2.50$0.30
Output / 1M$10.00$1.50
Pricing statusfreshfresh
Context256K192K
Providers11
Weight accessGated accessAPI only

Decision facts

  • Command A is #136; Command A+ is #87 on the same current language board.
  • Index scores are 40.9 for Command A and 56.3 for Command A+. 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 $1.50 for Command A+. 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 $1.35 for Command A+. Command A+ costs 86.5% 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 192,000 for Command A+.
  • Weight access differs: Command A is gated; Command A+ is none.

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.