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OpenRouter

Using Llama 3.1 8B Instruct on OpenRouter

Implementation guide · Llama 3.1 · AI at Meta

ServerlessOpen Source

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-3.1-8b-instruct — see the documentation for request format.
  3. 3
    You'll be billed $0.02/1M input, $0.05/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

About OpenRouter

OpenRouter provides a unified interface for Large Language Models with better pricing, improved uptime, and no subscription requirements. Route across providers for cost optimization and reliability.

OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.02
Output tokens$0.05

Capabilities

Structured Outputs

About Llama 3.1 8B Instruct

The Llama 3.1 8B Instruct model, released on July 23, 2024, is a multilingual large language model with 8 billion parameters, optimized for instruction-following tasks. It features an enhanced transformer architecture, supporting languages like English, German, French, and others. The model excels in dialogue applications, having been fine-tuned using supervised fine-tuning and reinforcement learning with human feedback. Trained on approximately 15 trillion tokens with a December 2023 data cutoff, it outperforms many existing open-source and closed chat models in various benchmarks. Ideal for commercial and research applications such as conversational agents and content generation, the model can be accessed on Hugging Face .

Model Specs

Released2024-07-23
Parameters8B
Context128K
ArchitectureDecoder Only
Knowledge cutoff2023-12

Provider

OpenRouter
OpenRouter

OpenRouter, Inc.

New York, NY, USA