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ModelCap

Model decision surface

Compare AI models

Start with Qwen3 235B A22B Instruct 2507 and Qwen3 235B A22B Thinking 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

Qwen3 235B A22B Instruct 2507 vs Qwen3 235B A22B Thinking 2507

Live dataset updated 11/7/2026, 2:00:08 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen3 235B A22B Instruct 2507 and Qwen3 235B A22B Thinking 2507
Field
ModelCap position#85#114
Index score59.852.8
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.14$0.45
Output / 1M$0.80$3.50
Pricing statusfreshfresh
Context262K128K
Providers41
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3 235B A22B Instruct 2507 is #85; Qwen3 235B A22B Thinking 2507 is #114 on the same current language board.
  • Index scores are 59.8 for Qwen3 235B A22B Instruct 2507 and 52.8 for Qwen3 235B A22B Thinking 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 $0.80 for Qwen3 235B A22B Instruct 2507 and $3.50 for Qwen3 235B A22B Thinking 2507. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.68 for Qwen3 235B A22B Instruct 2507 versus $2.65 for Qwen3 235B A22B Thinking 2507. Qwen3 235B A22B Instruct 2507 costs 74.3% 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 262,144 tokens for Qwen3 235B A22B Instruct 2507 and 128,000 for Qwen3 235B A22B Thinking 2507.
  • ModelCap currently lists 4 providers for Qwen3 235B A22B Instruct 2507 and 1 for Qwen3 235B A22B Thinking 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.