Compare AI models

Decision facts

• gpt-oss-20b is #162; o4 Mini is #106 on the same current language board.
• Index scores are 35.3 for gpt-oss-20b and 51.6 for o4 Mini. 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 $0.09 for gpt-oss-20b and $4.40 for o4 Mini. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.08 for gpt-oss-20b versus $4.40 for o4 Mini. gpt-oss-20b costs 98.2% 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 131,072 tokens for gpt-oss-20b and 200,000 for o4 Mini.
• Weight access differs: gpt-oss-20b is open; o4 Mini is none.
• ModelCap currently lists 11 providers for gpt-oss-20b and 1 for o4 Mini.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.