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ModelCap

Model decision surface

Compare AI models

Start with GPT-3.5 Turbo Instruct and Qwen3 4B Instruct 2507, 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

GPT-3.5 Turbo Instruct vs Qwen3 4B Instruct 2507

Live dataset updated 8/18/2026, 3:36:20 AM UTC

Open 1200×630 evidence receipt
Factual comparison of GPT-3.5 Turbo Instruct and Qwen3 4B Instruct 2507
Field
ModelCap position#111#105
Index score22.123.5
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism
Input / 1M$1.50Unavailable
Output / 1M$2.00Unavailable
Pricing statusfreshunavailable
Context4K262K
Providers10
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-3.5 Turbo Instruct is #111; Qwen3 4B Instruct 2507 is #105 on the same current language board.
  • Index scores are 22.1 for GPT-3.5 Turbo Instruct and 23.5 for Qwen3 4B Instruct 2507.
  • Both positions use Estimated evidence.
  • Published context is 4,095 tokens for GPT-3.5 Turbo Instruct and 262,144 for Qwen3 4B Instruct 2507.
  • Weight access differs: GPT-3.5 Turbo Instruct is none; Qwen3 4B Instruct 2507 is open.
  • ModelCap currently lists 1 providers for GPT-3.5 Turbo Instruct and 0 for Qwen3 4B Instruct 2507.

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.