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ModelCap

Model decision surface

Compare AI models

Start with GPT-6.1 Terra and GLM 5.3, 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-6.1 Terra vs GLM 5.3

Live dataset updated 11/6/2026, 8:49:50 PM UTC

Open 1200×630 evidence receipt
Factual comparison of GPT-6.1 Terra and GLM 5.3
Field
ModelCap position#29#20
Index score75.479.5
EvidenceMeasured1 reported rows against measured corpus ladders (21%); publisher-corpus-prior over 210 held-out anchors (14%); opens above measured predecessor openai/gpt-5.6-terra on same-family ordering evidence (53%); 1 specialist-board observation at 2.5% support (12%); shrunk 3.5 toward the measured corpusMeasured3 public benchmark observations across 3 boards
Input / 1M$1.00$0.07
Output / 1M$5.00$1.40
Pricing statusfreshfresh
Context1M1M
Providers336
Weight accessNo linked weightsRestricted license

Decision facts

  • GPT-6.1 Terra is #29; GLM 5.3 is #20 on the same current language board.
  • Index scores are 75.4 for GPT-6.1 Terra and 79.5 for GLM 5.3. 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 $5.00 for GPT-6.1 Terra and $1.40 for GLM 5.3. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $4.50 for GPT-6.1 Terra versus $0.84 for GLM 5.3. GLM 5.3 costs 81.3% 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 1,050,000 tokens for GPT-6.1 Terra and 1,048,576 for GLM 5.3.
  • Weight access differs: GPT-6.1 Terra is none; GLM 5.3 is restricted.
  • ModelCap currently lists 3 providers for GPT-6.1 Terra and 36 for GLM 5.3.

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.