---
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/meta-llama-llama-3.1-8b-instruct.md
canonical: https://modelslab.com/models/meta/meta-llama-llama-3.1-8b-instruct
type: product
component: Playground/LLM/Index
generated_at: 2026-07-19T21:02:34.941118Z
---

Meta: Llama 3.1 8B Instruct
---

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

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

Copy model ID

PricingInput $0.05 / 1M tokens

Output $0.08 / 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)

[#### anthropic/Anthropic: Claude Opus 4

anthropic-claude-opus-4

From $45.00/M tokens](https://modelslab.com/models/anthropic/anthropic-claude-opus-4)

[#### qwen/Qwen: Qwen3 14B

qwen-qwen3-14b

From $0.18/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-14b)

[#### undi95/ReMM SLERP 13B

undi95-remm-slerp-l2-13b

From $0.55/M tokens](https://modelslab.com/models/undi95/undi95-remm-slerp-l2-13b)

[#### qwen/Qwen2.5 72B Instruct Turbo

Qwen-Qwen2.5-72B-Instruct-Turbo

From $1.20/M tokens](https://modelslab.com/models/qwen/Qwen-Qwen2.5-72B-Instruct-Turbo)

[#### deepseek/DeepSeek R1 Distill Qwen 14B

deepseek-ai-DeepSeek-R1-Distill-Qwen-14B

From $1.60/M tokens](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B)

[#### poolside/Poolside: Laguna XS 2.1

poolside-laguna-xs-2.1

From $0.09/M tokens](https://modelslab.com/models/poolside/poolside-laguna-xs-2.1)

[#### anthropic/Anthropic: Claude Sonnet 4.5

anthropic-claude-sonnet-4.5

From $9.00/M tokens](https://modelslab.com/models/anthropic/anthropic-claude-sonnet-4.5)

[#### openai/OpenAI: GPT-4 Turbo

openai-gpt-4-turbo

From $20.00/M tokens](https://modelslab.com/models/openai/openai-gpt-4-turbo)

[#### z-ai/Z.ai: GLM 4.5V

z-ai-glm-4.5v

From $1.20/M tokens](https://modelslab.com/models/z-ai/z-ai-glm-4.5v)

[#### kwaipilot/Kwaipilot: KAT-Coder-Pro V2.5

kwaipilot-kat-coder-pro-v2.5

From $1.85/M tokens](https://modelslab.com/models/kwaipilot/kwaipilot-kat-coder-pro-v2.5)

[#### nvidia/NVIDIA: Nemotron 3 Nano 30B A3B

nvidia-nemotron-3-nano-30b-a3b

From $0.13/M tokens](https://modelslab.com/models/nvidia/nvidia-nemotron-3-nano-30b-a3b)

[#### deepseek/DeepSeek: DeepSeek V4 Pro

deepseek-deepseek-v4-pro

From $0.65/M tokens](https://modelslab.com/models/deepseek/deepseek-deepseek-v4-pro)

[#### mistralai/Mistral (7B) Instruct

mistralai-Mistral-7B-Instruct-v0.1

From $0.20/M tokens](https://modelslab.com/models/mistralai/mistralai-Mistral-7B-Instruct-v0.1)

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

google-gemini-3.1-flash-lite-preview

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

[#### qwen/Qwen: Qwen3 32B

qwen-qwen3-32b

From $0.18/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-32b)

[#### tencent/Tencent: Hy3 (free)

tencent-hy3-free

Free](https://modelslab.com/models/tencent/tencent-hy3-free)

[#### qwen/Qwen: Qwen3 Coder Next

qwen-qwen3-coder-next

From $0.46/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-coder-next)

[#### minimaxai/MiniMax M2.7 FP4

MiniMaxAI-MiniMax-M2.7

From $0.75/M tokens](https://modelslab.com/models/minimaxai/MiniMaxAI-MiniMax-M2.7)

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 3.1 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-instruct

CategoryLLM Models

TaskText Generation

Price$0.065 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 3.1 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>
```

### Pricing

Meta: Llama 3.1 8B Instruct API costs $0.065000 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](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 $0.065000 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 - 2026-07-20*