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Model details

Llama-3.1-70B-Instruct

Llama 3.1 70B Instruct is a 70-billion-parameter instruction-tuned large language model from Meta's Llama 3.1 family, designed for conversational AI and enterprise text tasks. Independent cloud-provider documentation describes it as well suited to summarizing and rewording passages, classifying text with high accuracy, performing sentiment analysis, powering dialogue systems, and generating code, positioning it as a general-purpose assistant rather than a narrow specialist. Its instruction tuning makes it a natural fit for content creation, customer-facing chatbots, and developer tooling where natural-language responses and structured reasoning are both needed.

In practice the model has been broadly distributed across major model-as-a-service platforms, including Oracle Cloud Infrastructure's Generative AI service and Microsoft Azure OpenAI, where it has been offered alongside deployment options such as on-demand inferencing, dedicated hosting, and fine-tuning. The same Oracle documentation now marks the 70B Instruct endpoint as retired on its platform, a signal that organizations relying on Meta's mid-to-large Llama 3.1 generation should plan around newer Llama variants while still being able to use legacy deployments where they remain available. Practitioners choosing this model should expect a balance between conversational fluency and code-oriented reasoning, making it a reasonable pick for mixed workloads that blend writing, Q&A, and lightweight programming assistance.

OpenRoutermeta-llama/llama-3.1-70b-instructllama

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Provider
OpenRouter
Model key
meta-llama/llama-3.1-70b-instruct
Release date
Jul 23, 2024
Last updated
Jul 23, 2024
Knowledge cutoff
2023-12
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.40
Output token cost
$0.40

Limits

Output tokens
16,384 tokens
Context window
131,072 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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