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ModelCap

Model decision surface

Compare AI models

Start with GLM 5.3 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

GLM 5.3 vs GLM 5.3 Flash

Live dataset updated 10/24/2026, 7:29:10 PM UTC

Open 1200×630 evidence receipt
Factual comparison of GLM 5.3 and GLM 5.3 Flash
Field
ModelCap position#19#24
Index score79.077.3
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured4 public benchmark observations across 4 boards
Input / 1M$0.091$0.15
Output / 1M$1.61$0.50
Pricing statusfreshfresh
Context1M1M
Providers3734
Weight accessRestricted licenseOpen weights

Decision facts

  • GLM 5.3 is #19; GLM 5.3 Flash is #24 on the same current language board.
  • Index scores are 79.0 for GLM 5.3 and 77.3 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 $1.61 for GLM 5.3 and $0.50 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 $0.99 for GLM 5.3 versus $0.55 for GLM 5.3 Flash. GLM 5.3 Flash costs 44.3% 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 1,048,576 tokens for GLM 5.3 and 1,048,576 for GLM 5.3 Flash.
  • Weight access differs: GLM 5.3 is restricted; GLM 5.3 Flash is open.
  • ModelCap currently lists 37 providers for GLM 5.3 and 34 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.