Using Llama 3.1 405B Instruct on IBM watsonx

Implementation guide · Llama 3.1 · AI at Meta

ServerlessOpen Weights

IBM watsonx exposes Llama 3.1 405B Instruct through model ID llama3.1-405b-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 IBM watsonx and generate an API key.
  2. 2
    Use the IBM watsonx SDK or REST API to call llama3.1-405b-instruct — see the documentation for request format.
  3. 3
    You'll be billed $3.00/1M input, $9.00/1M output tokens. See full pricing.

Code Examples

See IBM watsonx documentation for integration details.

Pricing on IBM watsonx

TypePrice (per 1M)
Input tokens$3.00
Output tokens$9.00

Capabilities

Structured Outputs

About Llama 3.1 405B Instruct

Llama 3.1 405B Instruct is Meta's advanced large language model released on July 23, 2024, featuring 405 billion parameters. It utilizes an optimized transformer architecture with supervised fine-tuning and reinforcement learning for enhanced instruction-following capabilities. The model supports multiple languages, was trained on 15 trillion tokens, and fine-tuned with 25 million synthetic examples. It excels in multilingual dialogue and text generation, making it ideal for assistant-like applications. Llama 3.1 incorporates robust safety measures and ethical considerations, outperforming many existing models on various industry benchmarks.

Model Specs

Released2024-07-23
Parameters405B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-12

Provider

IBM watsonx

IBM

Armonk, New York, United States