---
title: Meta: Llama 4 Scout API | Text Generation | ModelsLab
description: Build with Meta: Llama 4 Scout API by Meta Llama. Text generation, chat, code, and reasoning. Pay-per-use. Free tier.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta-llama/meta-llama-llama-4-scout/api.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta-llama/meta-llama-llama-4-scout/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T09:45:04.457356Z
---

Meta: Llama 4 Scout
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-4-scout/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta-llama/meta-llama-llama-4-scout.md)

meta-llama-llama-4-scout meta-llama Closed Source Model $0.190000 / call

Meta: Llama 4 Scout
---

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 4 Scout

meta-llama meta-llama-llama-4-scout

Copy model ID

PricingInput $0.08 / 1M tokens

Output $0.30 / 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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster)

[GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-2.5-flash-lite-preview-09-2025)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Google: Gemini 2.5 Flash Lite Preview 09-2025

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-2.5-flash-lite-preview-09-2025)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [MiniMax: MiniMax M1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m1)

[Q3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3.5-397B-A17B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen3.5 397B A17b

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3.5-397B-A17B)

[AC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-3.5-haiku)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Anthropic: Claude 3.5 Haiku

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-3.5-haiku)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder-flash)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 Coder Flash

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder-flash)

[QV](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-VL-235B-A22B-Instruct-FP8)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen3-VL-235B-A22B-Instruct-FP8

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-VL-235B-A22B-Instruct-FP8)

[N8](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-mistralai-mixtral-8x7b-instruct-v01)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [nim/mistralai/mixtral-8x7b-instruct-v01

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-mistralai-mixtral-8x7b-instruct-v01)

[Q7](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-72B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen2.5 72B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-72B)

[ZG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/z-ai-glm-5-turbo)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Z.ai: GLM 5 Turbo

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/z-ai-glm-5-turbo)

[GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-2.5-pro-preview-05-06)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Google: Gemini 2.5 Pro Preview 05-06

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-2.5-pro-preview-05-06)

[AC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-sonnet-4)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Anthropic: Claude Sonnet 4

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-sonnet-4)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-30b-a3b-thinking-2507)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 30B A3B Thinking 2507

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-30b-a3b-thinking-2507)

[GL](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-lyria-3-clip-preview)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Google: Lyria 3 Clip Preview

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-lyria-3-clip-preview)

[Q1](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-1.5B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen2.5 1.5B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-1.5B)

[M(](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/mistralai-Mistral-7B-Instruct-v0.3)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Mistral (7B) Instruct v0.3

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/mistralai-Mistral-7B-Instruct-v0.3)

[AC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-opus-4.1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Anthropic: Claude Opus 4.1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-opus-4.1)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/morph-morph-v3-large)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Morph: Morph V3 Large

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/morph-morph-v3-large)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-4

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4)

About Meta: Llama 4 Scout
---

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

### Technical Specifications

Model IDmeta-llama-llama-4-scoutCategoryLLM ModelsTaskText GenerationPrice$0.190000 per million tokensAddedFebruary 20, 2026

### 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 4 Scout into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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-4-scout",
        "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-frontend-v2-927501783998.us-east4.run.app/models/meta-llama/meta-llama-llama-4-scout/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Meta: Llama 4 Scout API costs $0.190000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

### Use Cases

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

[Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Meta Llama](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

Meta: Llama 4 Scout FAQ
---

### What is Meta: Llama 4 Scout?

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

### How do I use the Meta: Llama 4 Scout API?

You can integrate Meta: Llama 4 Scout 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-4-scout" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Meta: Llama 4 Scout cost?

Meta: Llama 4 Scout costs $0.190000 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 4 Scout model ID?

The model ID for Meta: Llama 4 Scout is "meta-llama-llama-4-scout". Use this ID in your API requests to specify this model.

### Does Meta: Llama 4 Scout have a free tier?

Yes, ModelsLab offers a free tier that lets you try Meta: Llama 4 Scout 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 - 2026-05-13*