Compare AI models

Decision facts

• GPT-5.5 is #14; GLM 5.3 is #11 on the same current language board.
• Index scores are 79.0 for GPT-5.5 and 80.0 for GLM 5.3. 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 $30.00 for GPT-5.5 and $4.40 for GLM 5.3. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $25.00 for GPT-5.5 versus $5.00 for GLM 5.3. GLM 5.3 costs 80.0% 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 1,050,000 tokens for GPT-5.5 and 1,048,576 for GLM 5.3.
• Weight access differs: GPT-5.5 is none; GLM 5.3 is restricted.
• ModelCap currently lists 3 providers for GPT-5.5 and 32 for GLM 5.3.

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