Llama 3 70B Instruct
VerifiedMeta's open-weight LLM optimized for precise instruction following.
About Llama 3 70B Instruct
The model follows the Llama 3 transformer architecture and receives additional instruction tuning to improve prompt adherence. Its open-weight release allows researchers and developers to inspect, modify, and fine-tune the weights without API restrictions.
Strengths include coherent multi-turn dialogue, code assistance, and summarization within its supported context length. The 70B parameter scale balances capability and resource demands for on-premise or cloud hosting.
Typical usage covers building custom chat interfaces, content creation pipelines, and academic experiments in model alignment. Users often combine it with retrieval systems or lightweight fine-tuning for domain-specific tasks.
Capabilities
How Llama 3 70B Instruct compares
Llama 3 70B Instruct (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Llama 3 70B Instruct ranks #62 of 141
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Enterprise Code Development
The model excels at generating reliable code and following detailed multi-step instructions to build and debug software applications.
Multilingual Content Analysis
It processes and summarizes text across multiple languages while maintaining accuracy in nuanced instruction-based tasks.
AI Agent Tool Integration
Strong support for function calling enables creation of agents that reason through complex workflows and interact with external tools.
Strengths & limitations
Strengths
- +Strong general reasoning
- +High-quality instruction adherence
- +Versatile text generation
- +Open weights for fine-tuning
Limitations
- –Text-only modality
- –8192 token context limit
- –No real-time knowledge access
Cost calculator
Estimate what Llama 3 70B Instruct would cost for your usage.
Based on Llama 3 70B Instruct's $0.51/1M input · $0.74/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "meta-llama/llama-3-70b-instruct",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: meta-llama/llama-3-70b-instruct
Editor's verdict
Llama 3 70B Instruct is Meta's open-weight language models with a 8K-token context window.
At $0.74 per 1M output tokens, it is very cost-efficient for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to strong general reasoning and high-quality instruction adherence.
Frequently asked questions
The model supports a context window of 8192 tokens.
User reviews
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