Meta: Llama 3.1 8B Instruct API Pricing
by meta-llama · 16K context window · #6 cheapest paid
Explore Meta Llama 3.1 8B Instruct API pricing for your large language model (LLM) needs. Ideal for ML engineers, this page details the cost-effective token pricing: $0.02000 per 1 million input tokens and $0.05000 per 1 million output tokens, totaling $0.070 per 1 million tokens. With a context window of 16,384 tokens, Llama 3.1 offers a balance of performance and cost. For example, a project processing 100 million input tokens and generating 50 million output tokens monthly would cost approximately $4.50. Compare Meta Llama 3.1 API costs against other LLM providers and optimize your AI development budget.
Monthly Cost Examples
Assuming 50% input / 50% output token split
| Usage | Monthly cost |
|---|---|
| 100K tokens/month | <$0.01 |
| 1M tokens/month | $0.04 |
| 10M tokens/month | $0.35 |
| 100M tokens/month | $3.50 |
Compare with other models
Meta: Llama 3.1 8B Instruct vs OpenAI: GPT-4o →Meta: Llama 3.1 8B Instruct vs OpenAI: GPT-4o-mini →Meta: Llama 3.1 8B Instruct vs OpenAI: o1 →Automate your model selection
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Only use Meta: Llama 3.1 8B Instruct when your quality requirements demand it.