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ModelCap

Model decision surface

Compare AI models

Start with Qwen3.7 Plus and Qwen3 Coder 480B A35B, 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

Qwen3.7 Plus vs Qwen3 Coder 480B A35B

Live dataset updated 9/22/2026, 9:31:46 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen3.7 Plus and Qwen3 Coder 480B A35B
Field
ModelCap position#30#103
Index score73.452.3
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.32$0.30
Output / 1M$1.28$1.00
Pricing statusfreshfresh
Context1M262K
Providers15
Weight accessAPI onlyOpen weights

Decision facts

  • Qwen3.7 Plus is #30; Qwen3 Coder 480B A35B is #103 on the same current language board.
  • Index scores are 73.4 for Qwen3.7 Plus and 52.3 for Qwen3 Coder 480B A35B. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $1.28 for Qwen3.7 Plus and $1.00 for Qwen3 Coder 480B A35B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.28 for Qwen3.7 Plus versus $1.10 for Qwen3 Coder 480B A35B. Qwen3 Coder 480B A35B costs 14.1% 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 1,000,000 tokens for Qwen3.7 Plus and 262,144 for Qwen3 Coder 480B A35B.
  • Weight access differs: Qwen3.7 Plus is none; Qwen3 Coder 480B A35B is open.
  • ModelCap currently lists 1 providers for Qwen3.7 Plus and 5 for Qwen3 Coder 480B A35B.

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.