---
title: Meta Llama 3 8B Instruct Reference | Text Generation | ModelsLab
description: 8B parameter large language model optimized for dialogue, offering state-of-the-art performance in text generation and reasoning tasks.
url: https://modelslab.com/models/together_ai/meta-llama-Llama-3-8b-chat-hf.md
canonical: https://modelslab.com/models/together_ai/meta-llama-Llama-3-8b-chat-hf.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-15T00:22:52.935030Z
---

Meta Llama 3 8B Instruct Reference
---

 [LLMs.txt](https://modelslab.com/models/open_router/meta-llama-Llama-3-8b-chat-hf/llms.txt) [.md](https://modelslab.com/models/meta-llama/meta-llama-Llama-3-8b-chat-hf.md)

meta-llama-Llama-3-8b-chat-hf meta-llama Closed Source Model $0.035000 / call

Meta Llama 3 8B Instruct Reference
---

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 8B Instruct Reference

meta-llama meta-llama-Llama-3-8b-chat-hf

Copy model ID

PricingInput $0.03 / 1M tokens

Output $0.04 / 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)

[GN](https://modelslab.com/models/open_router/google-gemini-3-pro-image-preview)[Open Router](https://modelslab.com/models/open_router)

 [Google: Nano Banana Pro (Gemini 3 Pro Image Preview)

Closed Source Model](https://modelslab.com/models/open_router/google-gemini-3-pro-image-preview)

[MM](https://modelslab.com/models/open_router/mistralai-mistral-medium-3)[Open Router](https://modelslab.com/models/open_router)

 [Mistral: Mistral Medium 3

Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-medium-3)

[ML](https://modelslab.com/models/meta/meta-llama-Llama-3.2-90B-Vision-Instruct-Turbo)[ModelsLab](https://modelslab.com/models/meta)

 [Meta Llama 3.2 90B Vision Instruct Turbo

Closed Source Model](https://modelslab.com/models/meta/meta-llama-Llama-3.2-90B-Vision-Instruct-Turbo)

[Q7](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-72B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen2.5 72B

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-72B)

[Q3](https://modelslab.com/models/together_ai/Qwen-Qwen3.5-35B-A3B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3.5 35B A3b

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3.5-35B-A3B)

[RR](https://modelslab.com/models/open_router/relace-relace-apply-3)[Open Router](https://modelslab.com/models/open_router)

 [Relace: Relace Apply 3

Closed Source Model](https://modelslab.com/models/open_router/relace-relace-apply-3)

[ML](https://modelslab.com/models/open_router/meta-llama-llama-4-scout)[Open Router](https://modelslab.com/models/open_router)

 [Meta: Llama 4 Scout

Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-4-scout)

[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)

[GN](https://modelslab.com/models/open_router/google-gemini-2.5-flash-image)[Open Router](https://modelslab.com/models/open_router)

 [Google: Nano Banana (Gemini 2.5 Flash Image)

Closed Source Model](https://modelslab.com/models/open_router/google-gemini-2.5-flash-image)

[AO](https://modelslab.com/models/open_router/allenai-olmo-2-0325-32b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [AllenAI: Olmo 2 32B Instruct

Closed Source Model](https://modelslab.com/models/open_router/allenai-olmo-2-0325-32b-instruct)

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

 [OpenAI: gpt-oss-20b (free)

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

[DR](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B)[ModelsLab](https://modelslab.com/models/deepseek)

 [DeepSeek R1 Distill Qwen 1.5B

Closed Source Model](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B)

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

 [OpenAI: gpt-oss-safeguard-20b

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

[L3](https://modelslab.com/models/meta/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF)[ModelsLab](https://modelslab.com/models/meta)

 [Llama 3.1 Nemotron 70B Instruct HF

Closed Source Model](https://modelslab.com/models/meta/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF)

[CC](https://modelslab.com/models/open_router/cohere-command-a)[Open Router](https://modelslab.com/models/open_router)

 [Cohere: Command A

Closed Source Model](https://modelslab.com/models/open_router/cohere-command-a)

[OG](https://modelslab.com/models/open_router/openai-gpt-3.5-turbo)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-3.5 Turbo

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-3.5-turbo)

[GG](https://modelslab.com/models/open_router/google-gemma-4-31b-it)[Open Router](https://modelslab.com/models/open_router)

 [Google: Gemma 4 31B

Closed Source Model](https://modelslab.com/models/open_router/google-gemma-4-31b-it)

[ZG](https://modelslab.com/models/open_router/z-ai-glm-5v-turbo)[Open Router](https://modelslab.com/models/open_router)

 [Z.ai: GLM 5V Turbo

Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-5v-turbo)

About Meta Llama 3 8B Instruct Reference
---

8B parameter large language model optimized for dialogue, offering state-of-the-art performance in text generation and reasoning tasks.

### Technical Specifications

Model IDmeta-llama-Llama-3-8b-chat-hfCategoryLLM ModelsTaskText GenerationPrice$0.035000 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 8B Instruct Reference 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-3-8b-chat-hf",
        "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-llama/meta-llama-Llama-3-8b-chat-hf/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Meta Llama 3 8B Instruct Reference API costs $0.035000 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 8B Instruct Reference](https://modelslab.com/meta-llama-3-8b-instruct-reference) [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Meta Llama](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

Meta Llama 3 8B Instruct Reference FAQ
---

### What is Meta Llama 3 8B Instruct Reference?

8B parameter large language model optimized for dialogue, offering state-of-the-art performance in text generation and reasoning tasks.

### How do I use the Meta Llama 3 8B Instruct Reference API?

You can integrate Meta Llama 3 8B Instruct Reference 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-3-8b-chat-hf" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Meta Llama 3 8B Instruct Reference cost?

Meta Llama 3 8B Instruct Reference costs $0.035000 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 8B Instruct Reference model ID?

The model ID for Meta Llama 3 8B Instruct Reference is "meta-llama-Llama-3-8b-chat-hf". Use this ID in your API requests to specify this model.

### Does Meta Llama 3 8B Instruct Reference have a free tier?

Yes, ModelsLab offers a free tier that lets you try Meta Llama 3 8B Instruct Reference 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 - 2026-04-15*