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ModelCap

Model decision surface

Compare AI models

Start with Qwen2.5 Coder 32B Instruct 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

Qwen2.5 Coder 32B Instruct vs Qwen3 Coder 480B A35B

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

Open 1200×630 evidence receipt
Factual comparison of Qwen2.5 Coder 32B Instruct and Qwen3 Coder 480B A35B
Field
ModelCap position#208#103
Index score19.752.3
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.66$0.30
Output / 1M$1.00$1.00
Pricing statusfreshfresh
Context33K262K
Providers15
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen2.5 Coder 32B Instruct is #208; Qwen3 Coder 480B A35B is #103 on the same current language board.
  • Index scores are 19.7 for Qwen2.5 Coder 32B Instruct 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 $1.00 for Qwen2.5 Coder 32B Instruct 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 $1.82 for Qwen2.5 Coder 32B Instruct versus $1.10 for Qwen3 Coder 480B A35B. Qwen3 Coder 480B A35B costs 39.6% 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 32,768 tokens for Qwen2.5 Coder 32B Instruct and 262,144 for Qwen3 Coder 480B A35B.
  • ModelCap currently lists 1 providers for Qwen2.5 Coder 32B Instruct 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.