--- title: Llama 3.1 405B Turbo — Advanced Reasoning | ModelsLab description: Access Meta Llama 3.1 405B Instruct Turbo API for 128K context, function calling, and 80 tokens/sec inference. Generate complex responses via simple LLM... url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/meta-llama-31-405b-instruct-turbo canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/meta-llama-31-405b-instruct-turbo type: website component: Seo/ModelPage generated_at: 2026-05-21T10:31:04.271732Z --- Available now on ModelsLab · Language Model Meta Llama 3.1 405B Instruct Turbo Scale Intelligence Turbocharged --- [Try Meta Llama 3.1 405B Instruct Turbo](/models/meta/meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo) [API Documentation](https://docs.modelslab.com) Deploy Frontier Capabilities Now --- 128K Context ### Handle Long Inputs Process 128,000 tokens for extended reasoning and document analysis in Meta Llama 3.1 405B Instruct Turbo. 80 Tokens/Second ### Turbo Inference Speed Achieve up to 80 tokens per second with Together Turbo on Meta Llama 3.1 405B Instruct Turbo model. Function Calling ### Integrate Tools Seamlessly Enable tool use, JSON mode, and zero-shot integration via Meta Llama 3.1 405B Instruct Turbo API. Examples See what Meta Llama 3.1 405B Instruct Turbo can create --- Copy any prompt below and try it yourself in the [playground](/models/meta/meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo). Code Review “Review this Python function for bugs, optimize for performance, and suggest unit tests: def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)” Data Analysis “Analyze this sales dataset JSON for trends, anomalies, and recommendations: \[{'month': 'Jan', 'sales': 1200}, {'month': 'Feb', 'sales': 1500}, {'month': 'Mar', 'sales': 900}\]” Tech Summary “Summarize key advancements in transformer architectures post-2023, focusing on efficiency and scaling laws, in 300 words.” Logic Puzzle “Solve this riddle step-by-step: Three houses in a row, owned by Alice, Bob, Carl. Alice has a dog, Bob has a cat, Carl has neither. The cat hates the dog. Who lives in the middle?” For Developers A few lines of code. Inference. Four lines. --- ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed. - **Serverless:** scales to zero, scales to millions - **Pay per token,** no minimums - **Python and JavaScript SDKs,** plus REST API [API Documentation ](https://docs.modelslab.com) PythonJavaScriptcURL Copy ```

import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

``` FAQ Common questions about Meta Llama 3.1 405B Instruct Turbo --- [Read the docs ](https://docs.modelslab.com) ### What is Meta Llama 3.1 405B Instruct Turbo? Meta Llama 3.1 405B Instruct Turbo is a 405B parameter instruct model optimized for speed via Together Turbo. It supports text generation with 128K context. Use it as a Meta Llama 3.1 405B Instruct Turbo alternative for production. ### How fast is Meta Llama 3.1 405B Instruct Turbo API? Delivers up to 80 tokens per second on Together AI endpoints. Matches Meta FP16 reference accuracy. Ideal for high-throughput Meta Llama 3.1 405b instruct turbo api tasks. ### What is the context window for meta llama 3.1 405b instruct turbo model? Supports 128,000 tokens for long-context reasoning. Expanded from Llama 3's 8K limit. Handles complex Meta Llama 3.1 405B Instruct Turbo LLM workloads. ### Does Meta Llama 3.1 405B Instruct Turbo support function calling? Yes, includes function calling, JSON mode, and tool use. Optimized for zero-shot integration. Key for Meta Llama 3.1 405B Instruct Turbo model applications. ### Where to find Meta Llama 3.1 405B Instruct Turbo alternative? Available via Together AI as meta llama 3.1 405b instruct turbo. Offers lower cost than Bedrock or Azure options. Scalable for enterprise via LLM endpoints. ### What are MMLU scores for Meta Llama 3.1 405B Instruct Turbo? Achieves 87.3% on MMLU 5-shot, 88.6% with chain-of-thought. Competitive with GPT-4 Turbo. Demonstrates strong reasoning in Meta Llama 3.1 405B Instruct Turbo. Ready to create? --- Start generating with Meta Llama 3.1 405B Instruct Turbo on ModelsLab. [Try Meta Llama 3.1 405B Instruct Turbo](/models/meta/meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo) [API Documentation](https://docs.modelslab.com) --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-05-21*