--- title: Llama 3.1 8B Turbo — Fast LLM | ModelsLab description: Run Meta Llama 3.1 8B Instruct Turbo for 131k context and function calling. Generate precise responses via API. Try now. url: https://modelslab.com/meta-llama-31-8b-instruct-turbo canonical: https://modelslab.com/meta-llama-31-8b-instruct-turbo type: website component: Seo/ModelPage generated_at: 2026-04-15T00:19:48.272826Z --- Available now on ModelsLab · Language Model Meta Llama 3.1 8B Instruct Turbo Turbocharge Llama Responses --- [Try Meta Llama 3.1 8B Instruct Turbo](/models/meta/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo) [API Documentation](https://docs.modelslab.com) Deploy Turbo Performance --- 131K Context ### Handle Long Inputs Process 131k token context window for extended dialogues and documents. Function Calling ### Enable Tool Use Supports function calling for structured outputs and agent workflows. 150 Tokens/Second ### Run High Throughput Achieve 150 tokens per second speed on Meta Llama 3.1 8B Instruct Turbo API. Examples See what Meta Llama 3.1 8B Instruct Turbo can create --- Copy any prompt below and try it yourself in the [playground](/models/meta/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo). Code Review “Review this Python function for bugs and suggest optimizations: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2)” Text Summary “Summarize key points from this article on quantum computing advancements in 2024, focusing on hardware breakthroughs.” JSON Extraction “Extract product details as JSON from: Apple iPhone 15 Pro, 256GB, Titanium frame, A17 chip, released 2023.” Multilingual Query “Translate to French and explain: What is recursive neural network architecture used for in NLP tasks?” For Developers A few lines of code. Instruct Turbo. One Call. --- 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 8B Instruct Turbo --- [Read the docs ](https://docs.modelslab.com) ### What is Meta Llama 3.1 8B Instruct Turbo? ### How fast is Meta Llama 3.1 8B Instruct Turbo API? ### What context length for Meta Llama 3.1 8B Instruct Turbo? ### Best Meta Llama 3.1 8B Instruct Turbo alternative? ### Does it support function calling? ### Pricing for meta llama 3.1 8b instruct turbo? Ready to create? --- Start generating with Meta Llama 3.1 8B Instruct Turbo on ModelsLab. [Try Meta Llama 3.1 8B Instruct Turbo](/models/meta/meta-llama-Meta-Llama-3.1-8B-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 - 2026-04-15*