Skip to content
ModelCap

Model decision surface

Compare AI models

Start with Qwen3 4B Instruct 2507 and Qwen3.7 Flash, 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 4B Instruct 2507 vs Qwen3.7 Flash

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

Open 1200×630 evidence receipt
Factual comparison of Qwen3 4B Instruct 2507 and Qwen3.7 Flash
Field
ModelCap position#103#102
Index score23.523.7
EvidenceEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimismEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1MUnavailable$0.03
Output / 1MUnavailable$0.13
Pricing statusunavailablefresh
Context262K1M
Providers01
Weight accessOpen weightsAPI only

Decision facts

  • Qwen3 4B Instruct 2507 is #103; Qwen3.7 Flash is #102 on the same current language board.
  • Index scores are 23.5 for Qwen3 4B Instruct 2507 and 23.7 for Qwen3.7 Flash.
  • Both positions use Estimated evidence.
  • Published context is 262,144 tokens for Qwen3 4B Instruct 2507 and 1,000,000 for Qwen3.7 Flash.
  • Weight access differs: Qwen3 4B Instruct 2507 is open; Qwen3.7 Flash is none.
  • ModelCap currently lists 0 providers for Qwen3 4B Instruct 2507 and 1 for Qwen3.7 Flash.

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.