---
title: Meta Llama 3 70B Instruct Turbo | Text Generation | ModelsLab
description: Highly optimized 70-billion parameter large language model with FP8 quantization, excelling in reasoning, coding, and multilingual dialogue for efficient.
url: https://modelslab.com/models/together_ai/meta-llama-meta-llama-3-70b-instruct-turbo.md
canonical: https://modelslab.com/models/together_ai/meta-llama-meta-llama-3-70b-instruct-turbo.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-05T20:27:35.437351Z
---

Meta Llama 3 70B Instruct Turbo
---

 [LLMs.txt](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3-70B-Instruct-Turbo/llms.txt) [.md](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3-70B-Instruct-Turbo.md)

meta-llama-Meta-Llama-3-70B-Instruct-Turbo meta Closed Source Model $0.880000 / call

Meta Llama 3 70B Instruct Turbo
---

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 70B Instruct Turbo

meta meta-llama-Meta-Llama-3-70B-Instruct-Turbo

Copy model ID

PricingInput $0.88 / 1M tokens

Output $0.88 / 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)

[OG](https://modelslab.com/models/open_router/openai-gpt-oss-20b)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: gpt-oss-20b

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-oss-20b)

[GG](https://modelslab.com/models/open_router/google-gemini-3.1-pro-preview-customtools)[Open Router](https://modelslab.com/models/open_router)

 [Google: Gemini 3.1 Pro Preview Custom Tools

Closed Source Model](https://modelslab.com/models/open_router/google-gemini-3.1-pro-preview-customtools)

[DR](https://modelslab.com/models/open_router/deepseek-deepseek-r1-distill-qwen-32b)[Open Router](https://modelslab.com/models/open_router)

 [DeepSeek: R1 Distill Qwen 32B

Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-r1-distill-qwen-32b)

[![gpt-oss-20b](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/8b2f0440-52cc-4f41-93eb-d31006ad71e2.webp)](https://modelslab.com/models/openai/gpt-oss-20b)[Open Ai](https://modelslab.com/models/openai)

 [gpt-oss-20b

Closed Source Model](https://modelslab.com/models/openai/gpt-oss-20b)

[![GPT-5-mini](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/0bda788d-705d-4cbd-9c9d-dcdaa12b9493.webp)](https://modelslab.com/models/openai/gpt-5-mini)[Open Ai](https://modelslab.com/models/openai)

 [GPT-5-mini

Closed Source Model](https://modelslab.com/models/openai/gpt-5-mini)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-vl-235b-a22b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 VL 235B A22B Instruct

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-vl-235b-a22b-instruct)

[ML](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo)[ModelsLab](https://modelslab.com/models/meta)

 [Meta Llama 3.1 70B Instruct Turbo

Closed Source Model](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo)

[XM](https://modelslab.com/models/open_router/xiaomi-mimo-v2-omni)[Open Router](https://modelslab.com/models/open_router)

 [Xiaomi: MiMo-V2-Omni

Closed Source Model](https://modelslab.com/models/open_router/xiaomi-mimo-v2-omni)

[MK](https://modelslab.com/models/open_router/moonshotai-kimi-k2-0905)[Open Router](https://modelslab.com/models/open_router)

 [MoonshotAI: Kimi K2 0905

Closed Source Model](https://modelslab.com/models/open_router/moonshotai-kimi-k2-0905)

[GG](https://modelslab.com/models/open_router/google-gemma-4-26b-a4b-it)[Open Router](https://modelslab.com/models/open_router)

 [Google: Gemma 4 26B A4B

Closed Source Model](https://modelslab.com/models/open_router/google-gemma-4-26b-a4b-it)

[Q3](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-32B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen2.5 32B

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-32B)

[L3](https://modelslab.com/models/together_ai/meta-llama-Llama-3.2-1B)[Together AI](https://modelslab.com/models/together_ai)

 [Llama 3.2 1B

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Llama-3.2-1B)

[T2](https://modelslab.com/models/scb10x/scb10x-scb10x-llama3-1-typhoon2-70b-instruct)[ModelsLab](https://modelslab.com/models/scb10x)

 [Typhoon 2 70B Instruct

Closed Source Model](https://modelslab.com/models/scb10x/scb10x-scb10x-llama3-1-typhoon2-70b-instruct)

[Q1](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-1.5B-Instruct)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen2.5 1.5B Instruct

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-1.5B-Instruct)

[ML](https://modelslab.com/models/open_router/meta-llama-llama-3.2-3b-instruct-free)[Open Router](https://modelslab.com/models/open_router)

 [Meta: Llama 3.2 3B Instruct (free)

Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3.2-3b-instruct-free)

[TU](https://modelslab.com/models/open_router/thedrummer-unslopnemo-12b)[Open Router](https://modelslab.com/models/open_router)

 [TheDrummer: UnslopNemo 12B

Closed Source Model](https://modelslab.com/models/open_router/thedrummer-unslopnemo-12b)

[![Meta: Llama 3 8B Instruct](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/07cb8c22-a068-40f8-a2e8-57d8b2371261.png)](https://modelslab.com/models/open_router/meta-llama-llama-3-8b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Meta: Llama 3 8B Instruct

Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3-8b-instruct)

[ZG](https://modelslab.com/models/open_router/z-ai-glm-4.7-flash)[Open Router](https://modelslab.com/models/open_router)

 [Z.ai: GLM 4.7 Flash

Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-4.7-flash)

About Meta Llama 3 70B Instruct Turbo
---

Llama 3 70B Instruct Turbo is an optimized 70B instruction-tuned model, delivering faster inference and lower cost while maintaining strong reasoning and coding performance.

### Technical Specifications

Model IDmeta-llama-Meta-Llama-3-70B-Instruct-TurboCategoryLLM ModelsTaskText GenerationPrice$0.880000 per million tokensAddedJuly 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 70B Instruct Turbo 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-Meta-Llama-3-70B-Instruct-Turbo",
        "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>
```

View the [full API documentation](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3-70B-Instruct-Turbo/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Meta Llama 3 70B Instruct Turbo API costs $0.880000 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 70B Instruct Turbo](https://modelslab.com/meta-llama-3-70b-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 70B Instruct Turbo FAQ
---

### What is Meta Llama 3 70B Instruct Turbo?

Llama 3 70B Instruct Turbo is an optimized 70B instruction-tuned model, delivering faster inference and lower cost while maintaining strong reasoning and coding performance.

### How do I use the Meta Llama 3 70B Instruct Turbo API?

You can integrate Meta Llama 3 70B Instruct Turbo into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "meta-llama-Meta-Llama-3-70B-Instruct-Turbo" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Meta Llama 3 70B Instruct Turbo cost?

Meta Llama 3 70B Instruct Turbo costs $0.880000 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 70B Instruct Turbo model ID?

The model ID for Meta Llama 3 70B Instruct Turbo is "meta-llama-Meta-Llama-3-70B-Instruct-Turbo". Use this ID in your API requests to specify this model.

### Does Meta Llama 3 70B Instruct Turbo have a free tier?

Yes, ModelsLab offers a free tier that lets you try Meta Llama 3 70B Instruct Turbo 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 - 2026-05-06*