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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.5 Pro 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-5.5 Pro vs Qwen3 235B A22B Instruct 2507

Live dataset updated 9/9/2026, 9:50:24 PM UTC

Open 1200×630 evidence receipt
Factual comparison of GPT-5.5 Pro and Qwen3 235B A22B Instruct 2507
Field
ModelCap position#46#48
Index score59.959.5
EvidenceMeasuredpublisher-corpus-prior over 180 held-out anchors (60%); 1 specialist-board observation at 2.1% support (40%); shrunk 13.8 toward the measured corpusMeasured2 public benchmark observations across 2 boards
Input / 1M$30.00$0.22
Output / 1M$180$0.88
Pricing statusfreshfresh
Context1M262K
Providers110
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-5.5 Pro is #46; Qwen3 235B A22B Instruct 2507 is #48 on the same current language board.
  • Index scores are 59.9 for GPT-5.5 Pro and 59.5 for Qwen3 235B A22B Instruct 2507. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $180.00 for GPT-5.5 Pro and $0.88 for Qwen3 235B A22B Instruct 2507. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $150.00 for GPT-5.5 Pro versus $0.88 for Qwen3 235B A22B Instruct 2507. Qwen3 235B A22B Instruct 2507 costs 99.4% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
  • Published context is 1,050,000 tokens for GPT-5.5 Pro and 262,144 for Qwen3 235B A22B Instruct 2507.
  • Weight access differs: GPT-5.5 Pro is none; Qwen3 235B A22B Instruct 2507 is open.
  • ModelCap currently lists 1 providers for GPT-5.5 Pro and 10 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.