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ModelCap

Model decision surface

Compare AI models

Start with Phi 4 and Qwen2.5 Coder 32B Instruct, 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

Phi 4 vs Qwen2.5 Coder 32B Instruct

Live dataset updated 8/18/2026, 3:36:20 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Phi 4 and Qwen2.5 Coder 32B Instruct
Field
Phi 4

Microsoft

ModelCap position#199#193
Index score8.911.8
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.07$0.66
Output / 1M$0.14$1.00
Pricing statusfreshfresh
Context16K33K
Providers11
Weight accessOpen weightsOpen weights

Decision facts

  • Phi 4 is #199; Qwen2.5 Coder 32B Instruct is #193 on the same current language board.
  • Index scores are 8.9 for Phi 4 and 11.8 for Qwen2.5 Coder 32B Instruct.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.14 for Phi 4 and $1.00 for Qwen2.5 Coder 32B Instruct.
  • Published context is 16,384 tokens for Phi 4 and 32,768 for Qwen2.5 Coder 32B Instruct.

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.