Last refreshed 2026-07-09. Next refresh: weekly.
Why use Llama 3.1 405B Instruct on Hyperbolic AI Inference?
Hyperbolic AI Inference offers Llama 3.1 405B Instruct with pay-as-you-go pricing at $4.00/1M input tokens. Hyperbolic is building an open-access AI cloud platform that provides affordable inference and compute resources for AI applications.
Compare Llama 3.1 405B Instruct across 11 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: llama3.1-405b-instructllama3.1-405b-instructRequest example
llama3.1-405b-instruct.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Compare Llama 3.1 405B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OctoAI API (Deprecated) | — | — |
| Together AI | $5.00 | $15.00 |
| Fireworks AI | $3.00 | $3.00 |
| IBM watsonx | $3.00 | $9.00 |
| Scale AI GenAI Platform | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $4.00 |
| Output tokens | $4.00 |
Capabilities
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.