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ModelCap

Model decision surface

Compare AI models

Start with Qwen3.7 Plus and Qwen3.8 27B, 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

Qwen3.7 Plus vs Qwen3.8 27B

Live dataset updated 10/1/2026, 9:09:05 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen3.7 Plus and Qwen3.8 27B
Field
ModelCap position#30#39
Index score71.968.9
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured5 public benchmark observations across 5 boards
Input / 1M$0.32$0.42
Output / 1M$1.28$3.00
Pricing statusfreshfresh
Context1M1M
Providers117
Weight accessAPI onlyOpen weights

Decision facts

  • Qwen3.7 Plus is #30; Qwen3.8 27B is #39 on the same current language board.
  • Index scores are 71.9 for Qwen3.7 Plus and 68.9 for Qwen3.8 27B. 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 $1.28 for Qwen3.7 Plus and $3.00 for Qwen3.8 27B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.28 for Qwen3.7 Plus versus $2.34 for Qwen3.8 27B. Qwen3.7 Plus costs 45.3% 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 1,000,000 tokens for Qwen3.7 Plus and 1,000,000 for Qwen3.8 27B.
  • Weight access differs: Qwen3.7 Plus is none; Qwen3.8 27B is open.
  • ModelCap currently lists 1 providers for Qwen3.7 Plus and 17 for Qwen3.8 27B.

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.