---
title: Meta: Llama 3.1 8B Instruct | Text Generation | ModelsLab
description: High-performance 8-billion parameter transformer model optimized for instruction-following and dialogue, with 8K token context, fast inference, and strong.
url: https://modelslab.com/models/meta-llama/meta-llama-llama-3.1-8b-instruct.md
canonical: https://modelslab.com/models/meta-llama/meta-llama-llama-3.1-8b-instruct.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-14T22:41:47.452840Z
---

Meta: Llama 3.1 8B Instruct
---

 [LLMs.txt](https://modelslab.com/models/open_router/meta-llama-llama-3.1-8b-instruct/llms.txt) [.md](https://modelslab.com/models/meta-llama/meta-llama-llama-3.1-8b-instruct.md)

meta-llama-llama-3.1-8b-instruct meta-llama Closed Source Model $0.035000 / call

Meta: Llama 3.1 8B 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 3.1 8B Instruct

meta-llama meta-llama-llama-3.1-8b-instruct

Copy model ID

PricingInput $0.02 / 1M tokens

Output $0.05 / 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)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-coder-free)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 Coder 480B A35B (free)

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-coder-free)

[KK](https://modelslab.com/models/together_ai/moonshotai-Kimi-K2.5)[Together AI](https://modelslab.com/models/together_ai)

 [Kimi K2.5

Closed Source Model](https://modelslab.com/models/together_ai/moonshotai-Kimi-K2.5)

[H3](https://modelslab.com/models/together_ai/Hcompany-Holo3-35B-A3B)[Together AI](https://modelslab.com/models/together_ai)

 [Holo3 35B A3b

Closed Source Model](https://modelslab.com/models/together_ai/Hcompany-Holo3-35B-A3B)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-max-thinking)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 Max Thinking

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-max-thinking)

[ML](https://modelslab.com/models/open_router/meta-llama-llama-3.2-11b-vision-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Meta: Llama 3.2 11B Vision Instruct

Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3.2-11b-vision-instruct)

[Q7](https://modelslab.com/models/qwen/Qwen-Qwen2.5-72B-Instruct-Turbo)[ModelsLab](https://modelslab.com/models/qwen)

 [Qwen2.5 72B Instruct Turbo

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

[AC](https://modelslab.com/models/open_router/anthropic-claude-3.5-haiku)[Open Router](https://modelslab.com/models/open_router)

 [Anthropic: Claude 3.5 Haiku

Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-3.5-haiku)

[CC](https://modelslab.com/models/open_router/cohere-command-r-08-2024)[Open Router](https://modelslab.com/models/open_router)

 [Cohere: Command R (08-2024)

Closed Source Model](https://modelslab.com/models/open_router/cohere-command-r-08-2024)

[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)

[OG](https://modelslab.com/models/open_router/openai-gpt-5-nano)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-5 Nano

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

[QQ](https://modelslab.com/models/open_router/qwen-qwen-vl-max)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen VL Max

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen-vl-max)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3.5-9b)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3.5-9B

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3.5-9b)

[N3](https://modelslab.com/models/together_ai/nim-meta-llama-3.1-8b-instruct)[Together AI](https://modelslab.com/models/together_ai)

 [nim/meta/llama-3.1-8b-instruct

Closed Source Model](https://modelslab.com/models/together_ai/nim-meta-llama-3.1-8b-instruct)

[BU](https://modelslab.com/models/open_router/bytedance-ui-tars-1.5-7b)[Open Router](https://modelslab.com/models/open_router)

 [ByteDance: UI-TARS 7B

Closed Source Model](https://modelslab.com/models/open_router/bytedance-ui-tars-1.5-7b)

[BE](https://modelslab.com/models/open_router/baidu-ernie-4.5-vl-28b-a3b)[Open Router](https://modelslab.com/models/open_router)

 [Baidu: ERNIE 4.5 VL 28B A3B

Closed Source Model](https://modelslab.com/models/open_router/baidu-ernie-4.5-vl-28b-a3b)

[D1](https://modelslab.com/models/together_ai/agentica-org-DeepCoder-14B-Preview)[Together AI](https://modelslab.com/models/together_ai)

 [Deepcoder 14B Preview

Closed Source Model](https://modelslab.com/models/together_ai/agentica-org-DeepCoder-14B-Preview)

[IG](https://modelslab.com/models/open_router/ibm-granite-granite-4.0-h-micro)[Open Router](https://modelslab.com/models/open_router)

 [IBM: Granite 4.0 Micro

Closed Source Model](https://modelslab.com/models/open_router/ibm-granite-granite-4.0-h-micro)

[BE](https://modelslab.com/models/open_router/baidu-ernie-4.5-21b-a3b-thinking)[Open Router](https://modelslab.com/models/open_router)

 [Baidu: ERNIE 4.5 21B A3B Thinking

Closed Source Model](https://modelslab.com/models/open_router/baidu-ernie-4.5-21b-a3b-thinking)

About Meta: Llama 3.1 8B Instruct
---

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

### Technical Specifications

Model IDmeta-llama-llama-3.1-8b-instructCategoryLLM 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 3.1 8B 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-3.1-8b-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>
```

View the [full API documentation](https://modelslab.com/models/meta-llama/meta-llama-llama-3.1-8b-instruct/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Meta: Llama 3.1 8B Instruct 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 3.1 8B Instruct](https://modelslab.com/meta-llama-31-8b-instruct) [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 3.1 8B Instruct FAQ
---

### What is Meta: Llama 3.1 8B Instruct?

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

### How do I use the Meta: Llama 3.1 8B Instruct API?

You can integrate Meta: Llama 3.1 8B 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-3.1-8b-instruct" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Meta: Llama 3.1 8B Instruct cost?

Meta: Llama 3.1 8B Instruct 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 3.1 8B Instruct model ID?

The model ID for Meta: Llama 3.1 8B Instruct is "meta-llama-llama-3.1-8b-instruct". Use this ID in your API requests to specify this model.

### Does Meta: Llama 3.1 8B Instruct have a free tier?

Yes, ModelsLab offers a free tier that lets you try Meta: Llama 3.1 8B 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 - 2026-04-15*