---
title: XAI: Grok 3 Mini Beta API | Text Generation | ModelsLab
description: Build with XAI: Grok 3 Mini Beta API by X Ai. Text generation, chat, code, and reasoning. Pay-per-use. Free tier.
url: https://modelslab.com/models/x-ai/x-ai-grok-3-mini-beta/api.md
canonical: https://modelslab.com/models/x-ai/x-ai-grok-3-mini-beta/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-23T05:10:10.980339Z
---

xAI: Grok 3 Mini Beta
---

 [LLMs.txt](https://modelslab.com/models/open_router/x-ai-grok-3-mini-beta/llms.txt) [.md](https://modelslab.com/models/x-ai/x-ai-grok-3-mini-beta.md)

x-ai-grok-3-mini-beta x-ai Closed Source Model $0.400000 / call

xAI: Grok 3 Mini Beta
---

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

### xAI: Grok 3 Mini Beta

x-ai x-ai-grok-3-mini-beta

Copy model ID

PricingInput $0.30 / 1M tokens

Output $0.50 / 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)

[L4](https://modelslab.com/models/meta/meta-llama-Llama-4-Scout-17B-16E-Instruct)[ModelsLab](https://modelslab.com/models/meta)

 [Llama 4 Scout Instruct (17Bx16E)

Closed Source Model](https://modelslab.com/models/meta/meta-llama-Llama-4-Scout-17B-16E-Instruct)

[XG](https://modelslab.com/models/open_router/x-ai-grok-4.1-fast)[Open Router](https://modelslab.com/models/open_router)

 [xAI: Grok 4.1 Fast

Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-4.1-fast)

[G2](https://modelslab.com/models/google_deepmind/google-gemma-2-27b-it)[ModelsLab](https://modelslab.com/models/google_deepmind)

 [Gemma-2 Instruct (27B)

Closed Source Model](https://modelslab.com/models/google_deepmind/google-gemma-2-27b-it)

[XG](https://modelslab.com/models/open_router/x-ai-grok-3)[Open Router](https://modelslab.com/models/open_router)

 [xAI: Grok 3

Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-3)

[L4](https://modelslab.com/models/together_ai/meta-llama-Llama-4-Scout-17B-16E-Instruct)[Together AI](https://modelslab.com/models/together_ai)

 [Llama 4 Scout Instruct (17Bx16E)

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Llama-4-Scout-17B-16E-Instruct)

[II](https://modelslab.com/models/open_router/inflection-inflection-3-pi)[Open Router](https://modelslab.com/models/open_router)

 [Inflection: Inflection 3 Pi

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

[ML](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-8B)[Together AI](https://modelslab.com/models/together_ai)

 [Meta Llama 3.1 8B

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-8B)

[OG](https://modelslab.com/models/together_ai/openai-gpt-oss-20b)[Together AI](https://modelslab.com/models/together_ai)

 [OpenAI GPT-OSS 20B

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

[DR](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B)[Together AI](https://modelslab.com/models/together_ai)

 [DeepSeek R1 Distill Qwen 14B

Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B)

[NN](https://modelslab.com/models/open_router/nvidia-nemotron-3-nano-30b-a3b)[Open Router](https://modelslab.com/models/open_router)

 [NVIDIA: Nemotron 3 Nano 30B A3B

Closed Source Model](https://modelslab.com/models/open_router/nvidia-nemotron-3-nano-30b-a3b)

[QQ](https://modelslab.com/models/alibaba_cloud/qwen-qwen3.5-397b-a17b)[Alibaba](https://modelslab.com/models/alibaba_cloud)

 [Qwen: Qwen3.5 397B A17B

Closed Source Model](https://modelslab.com/models/alibaba_cloud/qwen-qwen3.5-397b-a17b)

[![Gemini 2.5 Flash](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/4fc6b09e-c7ae-4301-aed1-0b180b88157b.png)](https://modelslab.com/models/google/gemini-2.5-flash)[Google](https://modelslab.com/models/google)

 [Gemini 2.5 Flash

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

[GG](https://modelslab.com/models/open_router/google-gemma-3-4b-it)[Open Router](https://modelslab.com/models/open_router)

 [Google: Gemma 3 4B

Closed Source Model](https://modelslab.com/models/open_router/google-gemma-3-4b-it)

[MM](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M2)[Together AI](https://modelslab.com/models/together_ai)

 [MiniMax M2

Closed Source Model](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M2)

[MP](https://modelslab.com/models/open_router/microsoft-phi-4)[Open Router](https://modelslab.com/models/open_router)

 [Microsoft: Phi 4

Closed Source Model](https://modelslab.com/models/open_router/microsoft-phi-4)

[Q0](https://modelslab.com/models/together_ai/Qwen-Qwen3-0.6B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3 0.6B

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-0.6B)

[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)

[OG](https://modelslab.com/models/open_router/openai-gpt-4o-mini)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-4o-mini

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-mini)

About XAI: Grok 3 Mini Beta
---

Grok 3 Mini is a lightweight, smaller thinking model. Unlike traditional models that generate answers immediately, Grok 3 Mini thinks before responding. It’s ideal for reasoning-heavy tasks that don’t demand...

### Technical Specifications

Model IDx-ai-grok-3-mini-betaCategoryLLM ModelsTaskText GenerationPrice$0.400000 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 XAI: Grok 3 Mini Beta 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": "x-ai-grok-3-mini-beta",
        "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/x-ai/x-ai-grok-3-mini-beta/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

XAI: Grok 3 Mini Beta API costs $0.400000 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

[Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from X Ai](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

XAI: Grok 3 Mini Beta FAQ
---

### What is XAI: Grok 3 Mini Beta?

Grok 3 Mini is a lightweight, smaller thinking model. Unlike traditional models that generate answers immediately, Grok 3 Mini thinks before responding. It’s ideal for reasoning-heavy tasks that don’t demand...

### How do I use the XAI: Grok 3 Mini Beta API?

You can integrate XAI: Grok 3 Mini Beta into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "x-ai-grok-3-mini-beta" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does XAI: Grok 3 Mini Beta cost?

XAI: Grok 3 Mini Beta costs $0.400000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the XAI: Grok 3 Mini Beta model ID?

The model ID for XAI: Grok 3 Mini Beta is "x-ai-grok-3-mini-beta". Use this ID in your API requests to specify this model.

### Does XAI: Grok 3 Mini Beta have a free tier?

Yes, ModelsLab offers a free tier that lets you try XAI: Grok 3 Mini Beta 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 - 2026-04-23*