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ModelCap

Model decision surface

Compare AI models

Start with GPT-4 Turbo and gpt-oss-20b, 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-4 Turbo vs gpt-oss-20b

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

Open 1200×630 evidence receipt
Factual comparison of GPT-4 Turbo and gpt-oss-20b
Field
ModelCap position#170#162
Index score30.935.3
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$10.00$0.018
Output / 1M$30.00$0.09
Pricing statusfreshfresh
Context128K131K
Providers111
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-4 Turbo is #170; gpt-oss-20b is #162 on the same current language board.
  • Index scores are 30.9 for GPT-4 Turbo and 35.3 for gpt-oss-20b. 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-4 Turbo and $0.09 for gpt-oss-20b. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $35.00 for GPT-4 Turbo versus $0.08 for gpt-oss-20b. gpt-oss-20b costs 99.8% 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-4 Turbo and 131,072 for gpt-oss-20b.
  • Weight access differs: GPT-4 Turbo is none; gpt-oss-20b is open.
  • ModelCap currently lists 1 providers for GPT-4 Turbo and 11 for gpt-oss-20b.

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.