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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.6 Terra and Qwen3.8 27B, 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 Terra vs Qwen3.8 27B

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

Open 1200×630 evidence receipt
Factual comparison of GPT-5.6 Terra and Qwen3.8 27B
Field
ModelCap position#12#16
Index score73.769.6
EvidenceMeasured6 public benchmark observations across 6 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$2.00$0.45
Output / 1M$12.00$3.20
Pricing statusfreshfresh
Context1M262K
Providers33
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-5.6 Terra is #12; Qwen3.8 27B is #16 on the same current language board.
  • Index scores are 73.7 for GPT-5.6 Terra and 69.6 for Qwen3.8 27B.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $12.00 for GPT-5.6 Terra and $3.20 for Qwen3.8 27B.
  • Published context is 1,050,000 tokens for GPT-5.6 Terra and 262,144 for Qwen3.8 27B.
  • Weight access differs: GPT-5.6 Terra is none; Qwen3.8 27B is open.

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.