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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.3-Codex and Qwen3 VL 235B A22B Thinking, 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-5.3-Codex vs Qwen3 VL 235B A22B Thinking

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

Open 1200×630 evidence receipt
Factual comparison of GPT-5.3-Codex and Qwen3 VL 235B A22B Thinking
Field
ModelCap position#20#55
Index score66.446.3
EvidenceMeasured1 public benchmark observation across 1 boardMeasured2 public benchmark observations across 2 boards
Input / 1M$1.75$0.40
Output / 1M$14.00$4.00
Pricing statusfreshfresh
Context400K131K
Providers22
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-5.3-Codex is #20; Qwen3 VL 235B A22B Thinking is #55 on the same current language board.
  • Index scores are 66.4 for GPT-5.3-Codex and 46.3 for Qwen3 VL 235B A22B Thinking.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $14.00 for GPT-5.3-Codex and $4.00 for Qwen3 VL 235B A22B Thinking.
  • Published context is 400,000 tokens for GPT-5.3-Codex and 131,072 for Qwen3 VL 235B A22B Thinking.
  • Weight access differs: GPT-5.3-Codex is none; Qwen3 VL 235B A22B Thinking is open.

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.