Compare AI models

Decision facts

• Qwen2.5 72B Instruct is #249; Qwen3 32B is #165 on the same current language board.
• Index scores are 27.6 for Qwen2.5 72B Instruct and 39.4 for Qwen3 32B. 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 $0.40 for Qwen2.5 72B Instruct and $0.28 for Qwen3 32B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.92 for Qwen2.5 72B Instruct versus $0.30 for Qwen3 32B. Qwen3 32B costs 67.4% 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 32,768 tokens for Qwen2.5 72B Instruct and 131,072 for Qwen3 32B.
• Weight access differs: Qwen2.5 72B Instruct is restricted; Qwen3 32B is open.
• ModelCap currently lists 1 providers for Qwen2.5 72B Instruct and 3 for Qwen3 32B.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.