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ModelCap

Model decision surface

Compare AI models

Start with gpt-oss-120b and Qwen3.5 4B, 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-oss-120b vs Qwen3.5 4B

Live dataset updated 9/19/2026, 11:04:59 PM UTC

Open 1200×630 evidence receipt
Factual comparison of gpt-oss-120b and Qwen3.5 4B
Field
ModelCap position#124#123
Index score38.939.9
EvidenceMeasured3 public benchmark observations across 3 boardsEstimatedpublisher-corpus-prior over 195 held-out anchors (22%); launch card against 3 resolved peers on 10 rows (79%); exceeds every named peer on 2 of 10 rows; optimism haircut 0.6 from cross-lab-probe; shrunk 3.1 up toward the measured corpus
Input / 1M$0.15Unavailable
Output / 1M$0.60Unavailable
Pricing statusfreshunavailable
Context131K
Providers200
Weight accessOpen weightsOpen weights

Decision facts

  • gpt-oss-120b is #124; Qwen3.5 4B is #123 on the same current language board.
  • Index scores are 38.9 for gpt-oss-120b and 39.9 for Qwen3.5 4B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: gpt-oss-120b is Measured; Qwen3.5 4B is Estimated.
  • ModelCap currently lists 20 providers for gpt-oss-120b and 0 for Qwen3.5 4B.

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.