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ModelCap

Model decision surface

Compare AI models

Start with Qwen3.7 Plus and Grok 4.7, 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 Grok 4.7

Live dataset updated 9/22/2026, 1:40:35 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen3.7 Plus and Grok 4.7
Field
ModelCap position#29#4
Index score71.085.0
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.32$1.60
Output / 1M$1.28$4.80
Pricing statusfreshfresh
Context1M500K
Providers11
Weight accessAPI onlyAPI only

Decision facts

  • Qwen3.7 Plus is #29; Grok 4.7 is #4 on the same current language board.
  • Index scores are 71.0 for Qwen3.7 Plus and 85.0 for Grok 4.7. 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 $4.80 for Grok 4.7. 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 $5.60 for Grok 4.7. Qwen3.7 Plus costs 77.1% 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 500,000 for Grok 4.7.

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.