Compare AI models

Decision facts

• Qwen3 32B is #115; Qwen3.8 Max (0902) is #32 on the same current language board.
• Index scores are 34.7 for Qwen3 32B and 67.5 for Qwen3.8 Max (0902). 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.
• Evidence differs: Qwen3 32B is Measured; Qwen3.8 Max (0902) is Estimated.
• Listed output price per 1M tokens is $0.28 for Qwen3 32B and $6.00 for Qwen3.8 Max (0902). For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.30 for Qwen3 32B versus $7.00 for Qwen3.8 Max (0902). Qwen3 32B costs 95.7% 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 131,072 tokens for Qwen3 32B and 1,000,000 for Qwen3.8 Max (0902).
• Weight access differs: Qwen3 32B is open; Qwen3.8 Max (0902) is none.
• ModelCap currently lists 2 providers for Qwen3 32B and 1 for Qwen3.8 Max (0902).

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