Compare AI models

Decision facts

• Granite 4.2 8B is #148; Llama 4 Scout is #145 on the same current language board.
• Index scores are 25.5 for Granite 4.2 8B and 27.2 for Llama 4 Scout. 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 $0.25 for Granite 4.2 8B and $0.30 for Llama 4 Scout. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.24 for Granite 4.2 8B versus $0.35 for Llama 4 Scout. Granite 4.2 8B costs 30.0% 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 131,072 tokens for Granite 4.2 8B and 1,310,720 for Llama 4 Scout.
• Weight access differs: Granite 4.2 8B is open; Llama 4 Scout is gated.
• ModelCap currently lists 2 providers for Granite 4.2 8B and 3 for Llama 4 Scout.

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