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ModelCap

Model decision surface

Compare AI models

Start with GLM 5 Turbo and GLM 5V Turbo, 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 Turbo vs GLM 5V Turbo

Live dataset updated 10/1/2026, 9:09:05 PM UTC

Open 1200×630 evidence receipt
Factual comparison of GLM 5 Turbo and GLM 5V Turbo
Field
ModelCap position#109#45
Index score53.567.9
EvidenceMeasuredpublisher-corpus-prior over 231 held-out anchors (63%); 1 specialist-board observation at 1.2% support (37%); shrunk 24.7 up toward the measured corpusMeasured2 public benchmark observations across 2 boards
Input / 1M$1.20$1.20
Output / 1M$4.00$4.00
Pricing statusfreshfresh
Context203K203K
Providers11
Weight accessAPI onlyAPI only

Decision facts

  • GLM 5 Turbo is #109; GLM 5V Turbo is #45 on the same current language board.
  • Index scores are 53.5 for GLM 5 Turbo and 67.9 for GLM 5V Turbo. 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 $4.00 for GLM 5 Turbo and $4.00 for GLM 5V Turbo. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $4.40 for GLM 5 Turbo versus $4.40 for GLM 5V Turbo. The listed-rate totals are equal. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
  • Published context is 202,752 tokens for GLM 5 Turbo and 202,752 for GLM 5V Turbo.

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.