Llama 3.1 (405B) Instruct Turbo overview
Llama 3.1 (405B) Instruct Turbo specs
- Developer
- Meta
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
Overview:
Llama 3.1 405B is a state-of-the-art large language model developed by Meta AI, designed for advanced text generation tasks. It excels in generating coherent and contextually relevant text across various domains.
Key Features:
- Massive Scale: 405 billion parameters for high accuracy and nuanced understanding.
- Multilingual Support: Capable of generating text in multiple languages.
- Contextual Awareness: Enhanced ability to maintain context over long passages.
- Fine-Tuning Capabilities: Easily adaptable for specific applications through fine-tuning.
Intended Use:
Llama 3.1 405B is intended for a wide range of applications including content creation, automated customer support, language translation, and more. It can be integrated into various platforms to enhance user interaction and automate text-based tasks.
Llama 3.1 405B is a practical option for medical coding tasks. It can process long medical texts, handle diverse scenarios, and generate synthetic data. Learn more about this and other models and their applications in Healthcare here.
Architecture:
Llama 3.1 405B is based on a Transformer architecture, which is known for its efficiency in handling sequential data and its ability to capture long-range dependencies in text.
Training Data:
The model was trained on a diverse dataset comprising web pages, books, articles, and other textual sources. The dataset includes billions of tokens to ensure a comprehensive understanding of various topics and languages.
Data Source and Size:
The training data consists of approximately 2.5 trillion tokens, sourced from a combination of publicly available datasets and proprietary collections. This extensive dataset ensures the model's robustness and versatility.
Use cases
- large-scale multilingual dialogue systems and assistants supporting diverse languages
- long-form document summarization and analysis
- coding assistants for complex programming tasks
- synthetic data generation for training and improving smaller models
- real-time AI applications requiring extensive context awareness and reasoning
- research, enterprise AI services, and cloud deployment on powerful GPU infrastructures
Capabilities
- Function calling
- Streaming
- Structured outputs
Llama 3.1 (405B) Instruct Turbo API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $4.55 | 1M tokens |
| Output | $4.55 | 1M tokens |
Llama 3.1 (405B) Instruct Turbo is unlisted on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Llama 3.1 (405B) Instruct Turbo vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 Llama 3.1 (405B) Instruct Turbo | $4.55 | $4.55 |
| Muse Glimmer 30B | $0.3703 | $1.59 |
| Muse Spark Open | $1.32 | $4.5 |
| Muse Spark 1.3 | $1.32 | $4.5 |
| Muse Wonder | $4.23 | $21.16 |
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Llama 3.1 (405B) Instruct Turbo FAQ
Does Llama 3.1 (405B) Instruct Turbo support streaming?
Yes, Llama 3.1 (405B) Instruct Turbo can stream responses as they are generated.
Does Llama 3.1 (405B) Instruct Turbo support tool calling and structured outputs?
Yes, Llama 3.1 (405B) Instruct Turbo supports both function calling and structured outputs.
Who created Llama 3.1 (405B) Instruct Turbo?
Llama 3.1 (405B) Instruct Turbo was built by Meta.
How do I access Llama 3.1 (405B) Instruct Turbo via API?
The model is available through the v1/chat/completions endpoint.