Meta: Llama 3.2 1B Instruct API Pricing
by meta-llama · 60K context window ·
Explore the pricing for the Meta Llama 3.2 1B Instruct API and understand its cost-effectiveness for your machine learning projects. This page details the input and output token pricing: $0.02700 per 1 million input tokens and $0.20000 per 1 million output tokens, totaling $0.2270 per million tokens. With a context window of 60,000 tokens, the meta-llama API provides ample space for complex prompts. For example, processing 5 million tokens monthly would cost approximately $1.14, making it a competitive option. Compare Llama 3.2 1B Instruct API's performance and pricing against other LLMs to optimize your budget and model selection.
Monthly Cost Examples
Assuming 50% input / 50% output token split
| Usage | Monthly cost |
|---|---|
| 100K tokens/month | $0.01 |
| 1M tokens/month | $0.11 |
| 10M tokens/month | $1.14 |
| 100M tokens/month | $11.35 |
Compare with other models
Meta: Llama 3.2 1B Instruct vs OpenAI: GPT-4o →Meta: Llama 3.2 1B Instruct vs OpenAI: GPT-4o-mini →Meta: Llama 3.2 1B Instruct vs OpenAI: o1 →Automate your model selection
StormRouter sends each request to the cheapest model that can handle it.
Only use Meta: Llama 3.2 1B Instruct when your quality requirements demand it.