Compare AI models

Decision facts

• Llama 3.2 3B Instruct is #159; Mixtral 8x22B Instruct is #156 on the same current language board.
• Index scores are 4.8 for Llama 3.2 3B Instruct and 9.2 for Mixtral 8x22B Instruct. 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 $0.33 for Llama 3.2 3B Instruct and $6.00 for Mixtral 8x22B Instruct. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.27 for Llama 3.2 3B Instruct versus $7.00 for Mixtral 8x22B Instruct. Llama 3.2 3B Instruct costs 96.2% 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 Llama 3.2 3B Instruct and 65,536 for Mixtral 8x22B Instruct.
• Weight access differs: Llama 3.2 3B Instruct is gated; Mixtral 8x22B Instruct is open.
• ModelCap currently lists 2 providers for Llama 3.2 3B Instruct and 1 for Mixtral 8x22B Instruct.

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