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ModelCap

Model decision surface

Compare AI models

Start with Qwen2.5 Coder 32B Instruct and Qwen3.7 Plus, 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

Qwen2.5 Coder 32B Instruct vs Qwen3.7 Plus

Live dataset updated 11/6/2026, 8:49:50 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen2.5 Coder 32B Instruct and Qwen3.7 Plus
Field
ModelCap position#278#36
Index score22.472.3
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.66$0.32
Output / 1M$1.00$1.28
Pricing statusfreshfresh
Context33K1M
Providers11
Weight accessOpen weightsNo linked weights

Decision facts

  • Qwen2.5 Coder 32B Instruct is #278; Qwen3.7 Plus is #36 on the same current language board.
  • Index scores are 22.4 for Qwen2.5 Coder 32B Instruct and 72.3 for Qwen3.7 Plus. 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 $1.00 for Qwen2.5 Coder 32B Instruct and $1.28 for Qwen3.7 Plus. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.82 for Qwen2.5 Coder 32B Instruct versus $1.28 for Qwen3.7 Plus. Qwen3.7 Plus costs 29.7% 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 32,768 tokens for Qwen2.5 Coder 32B Instruct and 1,000,000 for Qwen3.7 Plus.
  • Weight access differs: Qwen2.5 Coder 32B Instruct is open; Qwen3.7 Plus is none.

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.