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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.3-Codex and Qwen3.6 35B A3B, 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 Qwen3.6 35B A3B

Live dataset updated 9/3/2026, 3:06:08 AM UTC

Open 1200×630 evidence receipt
Factual comparison of GPT-5.3-Codex and Qwen3.6 35B A3B
Field
ModelCap position#24#66
Index score65.441.3
EvidenceMeasured1 public benchmark observation across 1 boardMeasured1 public benchmark observation across 1 board
Input / 1M$1.75$0.10
Output / 1M$14.00$0.90
Pricing statusfreshfresh
Context400K262K
Providers210
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-5.3-Codex is #24; Qwen3.6 35B A3B is #66 on the same current language board.
  • Index scores are 65.4 for GPT-5.3-Codex and 41.3 for Qwen3.6 35B A3B.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $14.00 for GPT-5.3-Codex and $0.90 for Qwen3.6 35B A3B.
  • Published context is 400,000 tokens for GPT-5.3-Codex and 262,144 for Qwen3.6 35B A3B.
  • Weight access differs: GPT-5.3-Codex is none; Qwen3.6 35B A3B is open.
  • ModelCap currently lists 2 providers for GPT-5.3-Codex and 10 for Qwen3.6 35B A3B.

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.