Llama 3.1 70B Instruct
Neural Network
Llama 3.1 70B Instruct is a 70-billion parameter Meta model, instruction-tuned and optimized for dialogues.
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How it works Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct is a Meta model from the Llama 3.1 family, released in several sizes and variants. The 70-billion parameter version is instruction-tuned and optimized for high-quality dialogues: it maintains a set role, follows response rules, and expands thoughts into coherent text. In BotHub, the model works from Russia without a VPN or foreign card; the balance is topped up with a Russian card, and you pay per token without a subscription. Over 250 neural networks are available in one window: it's easy to compare Llama's response with other models and switch to any of them without rewriting the integration, as the API is unified and OpenAI-compatible. Companies have access to contracts, invoices, electronic document management, and an admin panel with employee limits. The model is useful if you are building a support chatbot with a specific dialogue scenario, drafting emails and descriptions, summarizing long correspondence and documents, embedding an assistant into your product via API, or testing prompts before moving the load to other models.Frequently asked questions about Llama 3.1 70B Instruct
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
llama-3.1-70b-instruct works with text: it writes and edits, helps with code, and analyzes documents and images you upload. The context window is 131,072 tokens, so a large file or long correspondence will fit into one dialogue. Suitable for assistants, analytics, and automation via function calling.
In a single response, the model outputs up to 16,384 tokens — enough for a long article, detailed analysis, or a large code snippet. If the text hits the limit, just ask it to continue: the 131,072-token context allows it to keep the entire correspondence.
Our data does not indicate a separate reasoning mode for this model. However, you can ask it to reason step-by-step directly in the prompt: break down the task, outline the solution process. If you need models with a built-in reasoning mode, it's easy to switch to another one in BotHub without rewriting the integration.
Yes, function calling and structured JSON output are supported. The model can decide which tool to call and return arguments in a strict format — convenient for agents, parsing, and integration with your backend. In BotHub, this works via a unified OpenAI-compatible API.
You can upload images and documents: the model will analyze the image or file and respond with text — description, data extraction, table or screenshot analysis. Audio and video input are not supported, but BotHub has separate models for them in the same window.
Our data does not contain notes on specific language support, so we won't make promises — it's easier to check with your task: a couple of queries will show if the style and accuracy suit you. Other models are available nearby in BotHub, so you can compare responses in one window.