Meta: Llama 3.3 70B Instruct API Pricing
by meta-llama · 131K context window ·
Explore the pricing for Meta's Llama 3.3 70B Instruct API. This page details the cost structure for machine learning engineers evaluating large language models. The Llama 3.3 70B Instruct API is offered by meta-llama and features a 131,072 token context window. Input tokens are priced at $0.10000 per 1 million tokens, while output tokens cost $0.32000 per 1 million tokens, totaling $0.4200 per 1 million tokens. For example, if your application processes 100 million tokens monthly, the estimated cost would be $42.00. Compare Llama 3.3 70B Instruct API pricing against other LLM APIs to optimize your machine learning budget.
Monthly Cost Examples
Assuming 50% input / 50% output token split
| Usage | Monthly cost |
|---|---|
| 100K tokens/month | $0.02 |
| 1M tokens/month | $0.21 |
| 10M tokens/month | $2.10 |
| 100M tokens/month | $21.00 |
Compare with other models
Meta: Llama 3.3 70B Instruct vs OpenAI: GPT-4o →Meta: Llama 3.3 70B Instruct vs OpenAI: GPT-4o-mini →Meta: Llama 3.3 70B Instruct vs OpenAI: o1 →Automate your model selection
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Only use Meta: Llama 3.3 70B Instruct when your quality requirements demand it.