Meta: Llama 3.2 3B Instruct API Pricing
by meta-llama · 131K context window · #3 cheapest paid
Explore the pricing for Meta's Llama 3.2 3B Instruct API. This page details the cost structure for machine learning engineers evaluating large language models. The API is priced at $0.02000 per 1 million input tokens and $0.02000 per 1 million output tokens, totaling $0.0400 per million tokens. With a context window of 131,072 tokens, Llama 3.2 3B Instruct offers a substantial processing capacity. For example, processing 50 million tokens daily would cost approximately $60 per month. Analyze this cost-effective solution from Meta to optimize your LLM application development.
Monthly Cost Examples
Assuming 50% input / 50% output token split
| Usage | Monthly cost |
|---|---|
| 100K tokens/month | <$0.01 |
| 1M tokens/month | $0.02 |
| 10M tokens/month | $0.20 |
| 100M tokens/month | $2.00 |
Compare with other models
Meta: Llama 3.2 3B Instruct vs OpenAI: GPT-4o →Meta: Llama 3.2 3B Instruct vs OpenAI: GPT-4o-mini →Meta: Llama 3.2 3B Instruct vs OpenAI: o1 →Automate your model selection
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Only use Meta: Llama 3.2 3B Instruct when your quality requirements demand it.