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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.4 Nano and Qwen3 235B A22B 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-5.4 Nano vs Qwen3 235B A22B Instruct 2507

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

Open 1200×630 evidence receipt
Factual comparison of GPT-5.4 Nano and Qwen3 235B A22B Instruct 2507
Field
ModelCap position#46#49
Index score52.150.4
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.20$0.09
Output / 1M$1.25$0.55
Pricing statusfreshfresh
Context400K262K
Providers29
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-5.4 Nano is #46; Qwen3 235B A22B Instruct 2507 is #49 on the same current language board.
  • Index scores are 52.1 for GPT-5.4 Nano and 50.4 for Qwen3 235B A22B Instruct 2507.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $1.25 for GPT-5.4 Nano and $0.55 for Qwen3 235B A22B Instruct 2507.
  • Published context is 400,000 tokens for GPT-5.4 Nano and 262,144 for Qwen3 235B A22B Instruct 2507.
  • Weight access differs: GPT-5.4 Nano is none; Qwen3 235B A22B Instruct 2507 is open.
  • ModelCap currently lists 2 providers for GPT-5.4 Nano and 9 for Qwen3 235B A22B 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.