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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.6 Luna and GLM 5.3 Flash, 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-5.6 Luna vs GLM 5.3 Flash

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

Open 1200×630 evidence receipt
Factual comparison of GPT-5.6 Luna and GLM 5.3 Flash
Field
ModelCap position#25#11
Index score70.578.7
EvidenceMeasured6 public benchmark observations across 6 boardsMeasured4 public benchmark observations across 4 boards
Input / 1M$0.20$0.075
Output / 1M$1.20$0.25
Pricing statusfreshfresh
Context1M1.3M
Providers326
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-5.6 Luna is #25; GLM 5.3 Flash is #11 on the same current language board.
  • Index scores are 70.5 for GPT-5.6 Luna and 78.7 for GLM 5.3 Flash. 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 $1.20 for GPT-5.6 Luna and $0.25 for GLM 5.3 Flash. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.00 for GPT-5.6 Luna versus $0.28 for GLM 5.3 Flash. GLM 5.3 Flash costs 72.5% 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 1,050,000 tokens for GPT-5.6 Luna and 1,310,720 for GLM 5.3 Flash.
  • Weight access differs: GPT-5.6 Luna is none; GLM 5.3 Flash is open.
  • ModelCap currently lists 3 providers for GPT-5.6 Luna and 26 for GLM 5.3 Flash.

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.