Compare AI models

Decision facts

• Grok 4.7 is #4; GLM 5.3 is #10 on the same current language board.
• Index scores are 85.0 for Grok 4.7 and 82.4 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 $4.80 for Grok 4.7 and $2.46 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 $5.60 for Grok 4.7 versus $2.80 for GLM 5.3. GLM 5.3 costs 50.0% 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 500,000 tokens for Grok 4.7 and 1,310,720 for GLM 5.3.
• Weight access differs: Grok 4.7 is none; GLM 5.3 is restricted.
• ModelCap currently lists 1 providers for Grok 4.7 and 30 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.