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Meta: Llama 3.3 70B Instruct
Meta Llama
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Llama 3.3 Instruct 70B
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Released 
December 2024

Meta Llama
Llama 3.3 Instruct 70B

Meta’s Open, Aligned, High-Capacity LLM for Real-World API and Self-Hosted AI

Modality:
Text
model ID
meta-llama/llama-3.3-70b-instruct
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Output Speed *

85.94
tok/s

Intelligence Index *

7.7
/ 100

Context Window *

131072
tokens

Input price

0.6
Anytoken

Output price

1.92
Anytoken

Open-Weight, High-Performance LLM for Scalable, Aligned API Access


Llama 3.3 70B Instruct is the instruction-tuned variant of Meta’s powerful 70-billion parameter Llama 3.3 model, designed for high-quality natural language generation, reasoning, and task completion. With an open-weight license and strong alignment, it provides an accessible, production-ready alternative to proprietary LLMs.
‍

Ideal for developers, startups, and ML teams, Llama 3.3 70B Instruct delivers balanced performance in accuracy, coherence, and safety—accessible via API through platforms like AnyAPI.ai or deployable on-premises for full-stack control.
‍

Key Features of Llama 3.3 70B Instruct
‍

70B Parameter Model

Offers high output fluency and reasoning ability across complex prompts, thanks to its large-scale architecture and instruction-tuned training pipeline.
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Open-Weight and Self-Hostable

Available under a permissive Meta license, Llama 3.3 70B can be deployed in private cloud, VPCs, or edge environments, or accessed through AnyAPI.ai for hosted inference.
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Instruction-Tuned for Alignment

Fine-tuned to follow structured instructions, format tasks accurately, and generate safe, context-aware outputs across business, education, and development use cases.
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Strong Code and Reasoning Support

Performs well on code generation, math, and structured logic tasks, making it suitable for developer tools, assistants, and automation agents.
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Multilingual Support

Generates and understands content in 20+ languages, making it viable for international apps and localization workflows.
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Use Cases for Llama 3.3 70B Instruct
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AI Copilots and Coding Assistants

Deploy Llama 3.3 70B Instruct in dev environments to write code, explain snippets, and assist with debugging in Python, JavaScript, and more.
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Internal Knowledge Tools and RAG

Pair with vector databases to enable enterprise-grade retrieval-augmented generation (RAG) systems for support, compliance, or documentation.
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Instruction-Following AI Agents

Build structured task agents for scheduling, CRM updates, and email drafting with a reliable understanding of input prompts.
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Content Generation for Marketing or Docs

Produce articles, descriptions, summaries, and FAQs at scale, with more control than generic generative models.
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Chatbots and Multilingual Interfaces

Use in user-facing chatbots that require consistency, memory, and instruction following in English, Spanish, French, and more.


Why Use Llama 3.3 70B Instruct via AnyAPI.ai
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API Access Without Hosting Overhead

Access Llama 3.3 70B Instruct through a fully managed API—no need to spin up your own inference clusters.
‍

Unified API Across Open and Proprietary Models

Compare and switch between Llama, GPT, Claude, and Gemini using one SDK and one billing model.
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No Vendor Lock-In

Enjoy the freedom of open weights with the convenience of AnyAPI.ai’s infrastructure.
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Usage-Based Billing and Analytics

Track usage, manage tokens, and scale with demand using built-in analytics and transparent pricing.
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Superior to OpenRouter or AIMLAPI

AnyAPI.ai offers better provisioning, support, and visibility across all supported LLMs, including Meta’s models.


Start Using Llama 3.3 70B Instruct via AnyAPI.ai
‍

Llama 3.3 70B Instruct is a powerful, aligned, and fully open LLM—ready to power real-world apps at scale.

Integrate Llama 3.3 70B Instruct via AnyAPI.ai and start building reliable AI tools today.

Sign up, get your API key, or deploy it locally with full control.

Performance

Open-Weight, High-Performance LLM for Scalable, Aligned API Access

‍


Llama 3.3 70B Instruct is the instruction-tuned variant of Meta’s powerful 70-billion parameter Llama 3.3 model, designed for high-quality natural language generation, reasoning, and task completion. With an open-weight license and strong alignment, it provides an accessible, production-ready alternative to proprietary LLMs.
‍

Ideal for developers, startups, and ML teams, Llama 3.3 70B Instruct delivers balanced performance in accuracy, coherence, and safety—accessible via API through platforms like AnyAPI.ai or deployable on-premises for full-stack control.

‍

Quickstart

Sample code for Llama 3.3 Instruct 70B

Python
JavaScript
Curl
import requests

url = "https://api.anyapi.ai/v1/chat/completions"

payload = {
    "stream": False,
    "tool_choice": "auto",
    "logprobs": False,
    "model": "llama-3.3-70b-instruct",
    "messages": [
        {
            "role": "user",
            "content": "Hello"
        }
    ]
}
headers = {
    "Authorization": "Bearer AnyAPI_API_KEY",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
import requests url = "https://api.anyapi.ai/v1/chat/completions" payload = { "stream": False, "tool_choice": "auto", "logprobs": False, "model": "llama-3.3-70b-instruct", "messages": [ { "role": "user", "content": "Hello" } ] } headers = { "Authorization": "Bearer AnyAPI_API_KEY", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json())
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const url = 'https://api.anyapi.ai/v1/chat/completions';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json'},
  body: '{"stream":false,"tool_choice":"auto","logprobs":false,"model":"llama-3.3-70b-instruct","messages":[{"role":"user","content":"Hello"}]}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
const url = 'https://api.anyapi.ai/v1/chat/completions'; const options = { method: 'POST', headers: {Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json'}, body: '{"stream":false,"tool_choice":"auto","logprobs":false,"model":"llama-3.3-70b-instruct","messages":[{"role":"user","content":"Hello"}]}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); }
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curl --request POST \
  --url https://api.anyapi.ai/v1/chat/completions \
  --header 'Authorization: Bearer AnyAPI_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "stream": false,
  "tool_choice": "auto",
  "logprobs": false,
  "model": "llama-3.3-70b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}'
curl --request POST \ --url https://api.anyapi.ai/v1/chat/completions \ --header 'Authorization: Bearer AnyAPI_API_KEY' \ --header 'Content-Type: application/json' \ --data '{ "stream": false, "tool_choice": "auto", "logprobs": false, "model": "llama-3.3-70b-instruct", "messages": [ { "role": "user", "content": "Hello" } ] }'
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Pricing in anytokens via AnyAPI
Input
0.6
₳
Output
1.92
₳
Cache write
—
₳
Cache read
—
₳
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PerformanceQuickstartIntegrationFAQ

Integration

Access Llama 3.3 Instruct 70B via AnyAPI.ai

Access Llama 3.3 Instruct 70B through AnyAPI.ai using a unified API built for multi-model AI applications. Integrate Llama 3.3 Instruct 70B without maintaining a separate provider-specific connection, and keep the flexibility to test, switch, or combine models as your application requirements evolve.

01

One API integration

Access Llama 3.3 Instruct 70B and other AI models through the same API workflow instead of maintaining separate integrations for every provider.

02

Easy model switching

Test Llama 3.3 Instruct 70B against alternative models or switch models as your performance, capability, or cost requirements change without rebuilding your application around another provider API.

03

Flexible for production

Use Llama 3.3 Instruct 70B from experimentation through production while keeping your AI stack flexible as workloads, traffic, and model requirements evolve.

04

Multi-model applications

Use Llama 3.3 Instruct 70B for the workloads where it performs best and combine it with other models for tasks that require different capabilities, performance, or efficiency.

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Frequently Asked Questions

Answers to common questions about integrating and using this AI model via AnyAPI.ai

It’s ideal for internal copilots, RAG applications, developer tools, and instruction-following agents in production.

Yes. It can be downloaded and self-hosted or accessed via AnyAPI.ai with full licensing clarity.

It offers similar performance for many instruction tasks and code generation, but at lower cost and with full self-hosting flexibility.

Yes. As an open-weight model, it can be further fine-tuned or prompt-engineered for domain-specific tasks.

Yes. It has been aligned for safety and instruction-following, and supports integration into trusted AI systems.

* Benchmark data source: Artificial Analysis artificialanalysis.ai