Llama 3.1 405B Instruct Turbo
Llama 3.1 405B Instruct Turbo is Meta's largest publicly released model — a 405-billion-parameter instruction-tuned checkpoint from the Llama 3.1 generation, with Turbo optimizations applied for improved inference throughput. At this scale it approaches the performance envelope of leading closed-source models on complex language tasks while remaining accessible as an open-weight model.
The Turbo designation indicates additional inference-side optimization to reduce the latency penalty typically associated with models at this parameter count, making it more viable for applications that previously would have considered this scale impractical. It excels at complex reasoning, nuanced writing, and challenging code generation.
Key Features
405B parameter scale for top-tier language and reasoning capability
Turbo inference optimization reducing latency at large-scale parameter count
Strong performance on complex coding, analysis, and multi-step reasoning
Open-weight availability for self-hosted deployment and customization
Instruction-tuned for reliable, user-facing response quality
Suitable as a high-capability backbone for agentic and tool-use pipelines
Ideal Use Cases
Demanding enterprise tasks requiring near-frontier reasoning quality
Complex code generation and architecture-level software assistance
High-quality long-form content and research report generation
Agentic workflows requiring reliable multi-step task decomposition
Example Prompts for Llama 3.1 405B Instruct Turbo
Technical Specifications
| Provider | Meta |
| Category | Text |
| Modality | Text -> Text |
| Context Window | 128k tokens |
Frequently Asked Questions
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