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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.5 and Grok 4.20 Multi-Agent, 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 Grok 4.20 Multi-Agent

Live dataset updated 9/22/2026, 9:31:46 PM UTC

Open 1200×630 evidence receipt
Factual comparison of GPT-5.5 and Grok 4.20 Multi-Agent
Field
GPT-5.5

OpenAI

ModelCap position#13#18
Index score82.581.2
EvidenceMeasured7 public benchmark observations across 7 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$5.00$1.25
Output / 1M$30.00$2.50
Pricing statusfreshfresh
Context1M2M
Providers31
Weight accessAPI onlyAPI only

Decision facts

  • GPT-5.5 is #13; Grok 4.20 Multi-Agent is #18 on the same current language board.
  • Index scores are 82.5 for GPT-5.5 and 81.2 for Grok 4.20 Multi-Agent. 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 $2.50 for Grok 4.20 Multi-Agent. 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 $3.75 for Grok 4.20 Multi-Agent. Grok 4.20 Multi-Agent costs 85.0% 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-5.5 and 2,000,000 for Grok 4.20 Multi-Agent.
  • ModelCap currently lists 3 providers for GPT-5.5 and 1 for Grok 4.20 Multi-Agent.

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.