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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.6 Terra and o3, 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 o3

Live dataset updated 9/22/2026, 10:37:09 PM UTC

Open 1200×630 evidence receipt
Factual comparison of GPT-5.6 Terra and o3
Field
o3

OpenAI

ModelCap position#21#53
Index score79.766.5
EvidenceMeasured6 public benchmark observations across 6 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$2.00$2.00
Output / 1M$12.00$8.00
Pricing statusfreshfresh
Context1M200K
Providers31
Weight accessAPI onlyAPI only

Decision facts

  • GPT-5.6 Terra is #21; o3 is #53 on the same current language board.
  • Index scores are 79.7 for GPT-5.6 Terra and 66.5 for o3. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $12.00 for GPT-5.6 Terra and $8.00 for o3. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $10.00 for GPT-5.6 Terra versus $8.00 for o3. o3 costs 20.0% 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 Terra and 200,000 for o3.
  • ModelCap currently lists 3 providers for GPT-5.6 Terra and 1 for o3.

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.