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ModelCap

Model decision surface

Compare AI models

Start with Command A and North Mini Code, 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 North Mini Code

Live dataset updated 10/1/2026, 9:09:05 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Command A and North Mini Code
Field
Command A

Cohere

ModelCap position#143#100
Index score42.153.9
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$2.50Free
Output / 1M$10.00Free
Pricing statusfreshfresh
Context256K256K
Providers11
Weight accessGated accessOpen weights

Decision facts

  • Command A is #143; North Mini Code is #100 on the same current language board.
  • Index scores are 42.1 for Command A and 53.9 for North Mini Code. 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 for North Mini Code. 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 for North Mini Code. North Mini Code costs 100.0% 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 256,000 for North Mini Code.
  • Weight access differs: Command A is gated; North Mini Code is open.

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.