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ModelCap

Model decision surface

Compare AI models

Start with Nova Micro 1.0 and Nova Pro 1.0, 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

Nova Micro 1.0 vs Nova Pro 1.0

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

Open 1200×630 evidence receipt
Factual comparison of Nova Micro 1.0 and Nova Pro 1.0
Field
ModelCap position#223#187
Index score13.223.0
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.035$0.80
Output / 1M$0.14$3.20
Pricing statusfreshfresh
Context128K300K
Providers11
Weight accessAPI onlyAPI only

Decision facts

  • Nova Micro 1.0 is #223; Nova Pro 1.0 is #187 on the same current language board.
  • Index scores are 13.2 for Nova Micro 1.0 and 23.0 for Nova Pro 1.0. 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 $0.14 for Nova Micro 1.0 and $3.20 for Nova Pro 1.0. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.14 for Nova Micro 1.0 versus $3.20 for Nova Pro 1.0. Nova Micro 1.0 costs 95.6% 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 128,000 tokens for Nova Micro 1.0 and 300,000 for Nova Pro 1.0.

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.