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ModelCap

Model decision surface

Compare AI models

Start with Gemma 3 27B and gpt-oss-120b, 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

Gemma 3 27B vs gpt-oss-120b

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 3 27B and gpt-oss-120b
Field
ModelCap position#115#114
Index score35.935.9
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.08$0.037
Output / 1M$0.45$0.17
Pricing statusfreshfresh
Context131K131K
Providers418
Weight accessGated accessOpen weights

Decision facts

  • Gemma 3 27B is #115; gpt-oss-120b is #114 on the same current language board.
  • Index scores are 35.9 for Gemma 3 27B and 35.9 for gpt-oss-120b. 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 $0.45 for Gemma 3 27B and $0.17 for gpt-oss-120b. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.39 for Gemma 3 27B versus $0.16 for gpt-oss-120b. gpt-oss-120b costs 58.7% 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 Gemma 3 27B and 131,072 for gpt-oss-120b.
  • Weight access differs: Gemma 3 27B is gated; gpt-oss-120b is open.
  • ModelCap currently lists 4 providers for Gemma 3 27B and 18 for gpt-oss-120b.

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.