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ModelCap

Model decision surface

Compare AI models

Start with GPT-4o-mini 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-4o-mini vs o3

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

Open 1200×630 evidence receipt
Factual comparison of GPT-4o-mini and o3
Field
o3

OpenAI

ModelCap position#139#53
Index score39.766.5
EvidenceMeasuredpublisher-corpus-prior over 208 held-out anchors (59%); 1 specialist-board observation at 2.1% support (41%); shrunk 25.3 up toward the measured corpusMeasured3 public benchmark observations across 3 boards
Input / 1M$0.15$2.00
Output / 1M$0.60$8.00
Pricing statusfreshfresh
Context128K200K
Providers21
Weight accessAPI onlyAPI only

Decision facts

  • GPT-4o-mini is #139; o3 is #53 on the same current language board.
  • Index scores are 39.7 for GPT-4o-mini and 66.5 for o3. 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 $0.60 for GPT-4o-mini 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 $0.60 for GPT-4o-mini versus $8.00 for o3. GPT-4o-mini costs 92.5% 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 128,000 tokens for GPT-4o-mini and 200,000 for o3.
  • ModelCap currently lists 2 providers for GPT-4o-mini 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.