---
title: Meta: Llama 3.3 70B Instruct | Text Generation | ModelsLab
description: Multilingual large language model with 70B parameters, optimized for dialogue and text generation, featuring FP8 quantization for fast inference.
url: https://modelslab.com/models/meta/meta-llama-llama-3.3-70b-instruct.md
canonical: https://modelslab.com/models/meta/meta-llama-llama-3.3-70b-instruct
type: product
component: Playground/LLM/Index
generated_at: 2026-07-19T20:11:50.812970Z
---

Meta: Llama 3.3 70B Instruct
---

 [LLMs.txt](https://modelslab.com/models/meta/meta-llama-llama-3.3-70b-instruct/llms.txt) [.md](https://modelslab.com/models/meta/meta-llama-llama-3.3-70b-instruct.md)

Meta: Llama 3.3 70B Instruct
---

Choose a prompt below to get started or type your own message

 Explain quantum computing in simple terms

 Write a Python function to sort a list

 Create a marketing email for a SaaS product

 Compare REST vs GraphQL APIs

Send

### Meta: Llama 3.3 70B Instruct

meta meta-llama-llama-3.3-70b-instruct

Copy model ID

PricingInput $0.13 / 1M tokens

Output $0.40 / 1M tokens

API EndpointsOpenAI Compatible

`https://modelslab.com/api/v7/llm/chat/completions`Endpoint

Anthropic Compatible

`https://modelslab.com/api/v7/llm/v1/messages`Messages

`https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens

`https://modelslab.com/api/v7/llm/v1/models`Models

Use with Claude Code

cURL Example

ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses.

Temperature0.7

Max Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

Related Models
---

Discover similar models you might be interested in

 [View all LLM Models](https://modelslab.com/models?feature=llmaster)

[#### google/Google: Gemini 3.1 Pro Preview

google-gemini-3.1-pro-preview

From $7.00/M tokens](https://modelslab.com/models/google/google-gemini-3.1-pro-preview)

[#### byteplus/Seed 1.8

seed-1.8

From $3.00/M tokens](https://modelslab.com/models/byteplus/seed-1.8)

[#### x-ai/xAI: Grok Latest

x-ai-grok-latest

From $4.00/M tokens](https://modelslab.com/models/x-ai/x-ai-grok-latest)

[#### qwen/Qwen: Qwen3 235B A22B Instruct 2507

qwen-qwen3-235b-a22b-2507

From $0.32/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-235b-a22b-2507)

[#### google/Google: Gemma 2 27B

google-gemma-2-27b-it

From $0.65/M tokens](https://modelslab.com/models/google/google-gemma-2-27b-it)

[#### meta/Meta: Llama 3.2 1B Instruct

meta-llama-llama-3.2-1b-instruct

From $0.11/M tokens](https://modelslab.com/models/meta/meta-llama-llama-3.2-1b-instruct)

[#### qwen/Qwen: Qwen3 30B A3B Thinking 2507

qwen-qwen3-30b-a3b-thinking-2507

From $0.84/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-30b-a3b-thinking-2507)

[#### deepseek/DeepSeek: DeepSeek V3 0324

deepseek-deepseek-chat-v3-0324

From $0.69/M tokens](https://modelslab.com/models/deepseek/deepseek-deepseek-chat-v3-0324)

[#### nex-agi/Nex AGI: Nex-N2-Mini

nex-agi-nex-n2-mini

From $0.06/M tokens](https://modelslab.com/models/nex-agi/nex-agi-nex-n2-mini)

[#### qwen/Qwen: Qwen3.5-Flash

qwen-qwen3.5-flash-02-23

From $0.16/M tokens](https://modelslab.com/models/qwen/qwen-qwen3.5-flash-02-23)

[#### qwen/Qwen: Qwen3 Max

qwen-qwen3-max

From $2.34/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-max)

[#### anthropic/Anthropic: Claude Opus 4.6

anthropic-claude-opus-4.6

From $15.00/M tokens](https://modelslab.com/models/anthropic/anthropic-claude-opus-4.6)

[#### refuel\_ai/Refuel LLM V2

togethercomputer-Refuel-Llm-V2

From $0.72/M tokens](https://modelslab.com/models/refuel_ai/togethercomputer-Refuel-Llm-V2)

[#### minimax/MiniMax: MiniMax M2.5

minimax-minimax-m2.5

From $0.53/M tokens](https://modelslab.com/models/minimax/minimax-minimax-m2.5)

[#### google/Google: Gemini 3.1 Flash Lite

google-gemini-3.1-flash-lite

From $0.88/M tokens](https://modelslab.com/models/google/google-gemini-3.1-flash-lite)

[#### anthropic/Anthropic: Claude Sonnet 4.6

anthropic-claude-sonnet-4.6

From $9.00/M tokens](https://modelslab.com/models/anthropic/anthropic-claude-sonnet-4.6)

[#### mistralai/Mistral Large 2407

mistralai-mistral-large-2407

From $4.00/M tokens](https://modelslab.com/models/mistralai/mistralai-mistral-large-2407)

[#### mancer/Mancer: Weaver (alpha)

mancer-weaver

From $0.63/M tokens](https://modelslab.com/models/mancer/mancer-weaver)

Open Source Alternatives
---

Explore open-source models that offer similar capabilities with full transparency and flexibility

 [View all open source models](https://modelslab.com/models?feature=llm&provider=open-source-models)

[MU

Popular](https://modelslab.com/models/modelslab/uncensored-chat)[ModelsLab](https://modelslab.com/models/modelslab)

 [Modelslab: Uncensored Chat

Open Source Model](https://modelslab.com/models/modelslab/uncensored-chat)

About Meta: Llama 3.3 70B Instruct
---

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

### Technical Specifications

Model IDmeta-llama-llama-3.3-70b-instruct

CategoryLLM Models

TaskText Generation

Price$0.265 per million tokens

AddedJuly 22, 2025

### Key Features

- Chat completion and multi-turn conversation API
- Streaming response with token-by-token output
- Function calling and tool use support
- System prompts and role-based messaging
- JSON mode and structured output

### Quick Start

Integrate Meta: Llama 3.3 70B Instruct into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "meta-llama-llama-3.3-70b-instruct",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ],
        "max_tokens": 1000,
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

### Pricing

Meta: Llama 3.3 70B Instruct API costs $0.265000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing)

### Use Cases

- AI chatbots and virtual assistants
- Code generation and developer tools
- Content writing and copywriting automation
- Data analysis, summarization, and extraction

[Learn more about Meta: Llama 3.3 70B Instruct](https://modelslab.com/meta-llama-33-70b-instruct-turbo) [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Meta](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

Meta: Llama 3.3 70B Instruct FAQ
---

### What is Meta: Llama 3.3 70B Instruct?

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

### How do I use the Meta: Llama 3.3 70B Instruct API?

You can integrate Meta: Llama 3.3 70B Instruct into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "meta-llama-llama-3.3-70b-instruct" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Meta: Llama 3.3 70B Instruct cost?

Meta: Llama 3.3 70B Instruct costs $0.265000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the Meta: Llama 3.3 70B Instruct model ID?

The model ID for Meta: Llama 3.3 70B Instruct is "meta-llama-llama-3.3-70b-instruct". Use this ID in your API requests to specify this model.

### Does Meta: Llama 3.3 70B Instruct have a free tier?

Yes, ModelsLab offers a free tier that lets you try Meta: Llama 3.3 70B Instruct and other AI models. Sign up to get free API credits and start building immediately.

---

*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 - 2026-07-20*