Using Llama 3 8B Instruct on OpenRouter

Implementation guide · Llama 3 · AI at Meta

ServerlessOpen Weights

OpenRouter exposes Llama 3 8B Instruct through model ID meta-llama/llama-3-8b-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-09. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call meta-llama/llama-3-8b-instruct — see the documentation for request format.
  3. 3
    You'll be billed $0.03/1M input, $0.04/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.03
Output tokens$0.04

Capabilities

Structured Outputs

About Llama 3 8B Instruct

The Llama 3 8B Instruct model, released on April 18, 2024, is Meta's latest instruction-following language model with 8 billion parameters. It utilizes an auto-regressive transformer architecture with Grouped-Query Attention for improved scalability. Trained on over 15 trillion tokens and fine-tuned with 10 million human-annotated examples, it excels in dialogue and conversational tasks. The model outperforms its predecessors on industry benchmarks, scoring 68.4 on MMLU (5-shot). Designed for commercial and research applications, it prioritizes safety and helpfulness, making it suitable for chatbots, virtual assistants, and other interactive AI applications. For more details, visit the Hugging Face page [1].

Model Specs

Released2024-04-18
Parameters8B
Context8k
ArchitectureDecoder Only
Knowledge cutoff2023-03

Provider

OpenRouter

OpenRouter, Inc.

New York, NY, USA