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ModelCap

Model decision surface

Compare AI models

Start with Mercury 2 and Qwen3.5-9B, 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

Mercury 2 vs Qwen3.5-9B

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Mercury 2 and Qwen3.5-9B
Field
Mercury 2

Inception Labs

ModelCap position#80#83
Index score31.228.6
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.25$0.10
Output / 1M$0.75$0.15
Pricing statusfreshfresh
Context128K262K
Providers15
Weight accessAPI onlyOpen weights

Decision facts

  • Mercury 2 is #80; Qwen3.5-9B is #83 on the same current language board.
  • Index scores are 31.2 for Mercury 2 and 28.6 for Qwen3.5-9B.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.75 for Mercury 2 and $0.15 for Qwen3.5-9B.
  • Published context is 128,000 tokens for Mercury 2 and 262,144 for Qwen3.5-9B.
  • Weight access differs: Mercury 2 is none; Qwen3.5-9B is open.
  • ModelCap currently lists 1 providers for Mercury 2 and 5 for Qwen3.5-9B.

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.