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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.5 and GPT-5.5 Pro, 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-5.5 vs GPT-5.5 Pro

Live dataset updated 9/23/2026, 4:02:17 AM UTC

Open 1200×630 evidence receipt
Factual comparison of GPT-5.5 and GPT-5.5 Pro
Field
GPT-5.5

OpenAI

ModelCap position#13#59
Index score82.764.6
EvidenceMeasured7 public benchmark observations across 7 boardsMeasuredpublisher-corpus-prior over 215 held-out anchors (59%); 1 specialist-board observation at 2.1% support (41%); shrunk 9.8 toward the measured corpus
Input / 1M$5.00$30.00
Output / 1M$30.00$180
Pricing statusfreshfresh
Context1M1M
Providers31
Weight accessAPI onlyAPI only

Decision facts

  • GPT-5.5 is #13; GPT-5.5 Pro is #59 on the same current language board.
  • Index scores are 82.7 for GPT-5.5 and 64.6 for GPT-5.5 Pro. 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 $30.00 for GPT-5.5 and $180.00 for GPT-5.5 Pro. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $25.00 for GPT-5.5 versus $150.00 for GPT-5.5 Pro. GPT-5.5 costs 83.3% 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-5.5 and 1,050,000 for GPT-5.5 Pro.
  • ModelCap currently lists 3 providers for GPT-5.5 and 1 for GPT-5.5 Pro.

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.