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ModelCap

Model decision surface

Compare AI models

Start with Command A+ and Command R+ (08-2024), 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 R+ (08-2024)

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

Open 1200×630 evidence receipt
Factual comparison of Command A+ and Command R+ (08-2024)
Field
ModelCap position#87#203
Index score56.319.8
EvidenceMeasured1 public benchmark observation across 1 boardMeasured2 public benchmark observations across 2 boards
Input / 1M$0.30$2.50
Output / 1M$1.50$10.00
Pricing statusfreshfresh
Context192K128K
Providers11
Weight accessAPI onlyAPI only

Decision facts

  • Command A+ is #87; Command R+ (08-2024) is #203 on the same current language board.
  • Index scores are 56.3 for Command A+ and 19.8 for Command R+ (08-2024). 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 $1.50 for Command A+ and $10.00 for Command R+ (08-2024). For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.35 for Command A+ versus $10.00 for Command R+ (08-2024). 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 192,000 tokens for Command A+ and 128,000 for Command R+ (08-2024).

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.