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ModelCap

Model decision surface

Compare AI models

Start with Nova 2 Lite and GPT-4o (2024-08-06), 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 2 Lite vs GPT-4o (2024-08-06)

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

Open 1200×630 evidence receipt
Factual comparison of Nova 2 Lite and GPT-4o (2024-08-06)
Field
ModelCap position#129#132
Index score30.930.1
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.30$2.50
Output / 1M$2.50$10.00
Pricing statusfreshfresh
Context1M128K
Providers12
Weight accessAPI onlyAPI only

Decision facts

  • Nova 2 Lite is #129; GPT-4o (2024-08-06) is #132 on the same current language board.
  • Index scores are 30.9 for Nova 2 Lite and 30.1 for GPT-4o (2024-08-06). 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 $2.50 for Nova 2 Lite and $10.00 for GPT-4o (2024-08-06). For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.85 for Nova 2 Lite versus $10.00 for GPT-4o (2024-08-06). Nova 2 Lite costs 81.5% 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 1,000,000 tokens for Nova 2 Lite and 128,000 for GPT-4o (2024-08-06).
  • ModelCap currently lists 1 providers for Nova 2 Lite and 2 for GPT-4o (2024-08-06).

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.