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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.1-Codex-Mini and GPT-5.6 Luna, 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

GPT-5.1-Codex-Mini vs GPT-5.6 Luna

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of GPT-5.1-Codex-Mini and GPT-5.6 Luna
Field
ModelCap position#64#17
Index score41.568.0
EvidenceMeasured1 public benchmark observation across 1 boardMeasured6 public benchmark observations across 6 boards
Input / 1M$0.25$0.20
Output / 1M$2.00$1.20
Pricing statusfreshfresh
Context400K1M
Providers13
Weight accessAPI onlyAPI only

Decision facts

  • GPT-5.1-Codex-Mini is #64; GPT-5.6 Luna is #17 on the same current language board.
  • Index scores are 41.5 for GPT-5.1-Codex-Mini and 68.0 for GPT-5.6 Luna.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $2.00 for GPT-5.1-Codex-Mini and $1.20 for GPT-5.6 Luna.
  • Published context is 400,000 tokens for GPT-5.1-Codex-Mini and 1,050,000 for GPT-5.6 Luna.
  • ModelCap currently lists 1 providers for GPT-5.1-Codex-Mini and 3 for GPT-5.6 Luna.

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.