---
title: InclusionAI: Ling 3.0 Tiny API | Text Generation | ModelsLab
description: Build with InclusionAI: Ling 3.0 Tiny API by inclusionAI. Text generation, chat, code, and reasoning. Plans from $21/month.
url: https://modelslab.com/models/inclusionai/inclusionai-ling-3.0-tiny.md
canonical: https://modelslab.com/models/inclusionai/inclusionai-ling-3.0-tiny
type: product
component: Playground/LLM/Index
generated_at: 2026-11-10T13:04:20.806679Z
---

inclusionAI: Ling 3.0 Tiny
---

 [LLMs.txt](https://modelslab.com/models/inclusionai/inclusionai-ling-3.0-tiny/llms.txt) [.md](https://modelslab.com/models/inclusionai/inclusionai-ling-3.0-tiny.md)

inclusionAI: Ling 3.0 Tiny
---

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

text files

Send

### inclusionAI: Ling 3.0 Tiny

inclusionai inclusionai-ling-3.0-tiny

Copy model ID

PricingInput $0.015 / 1M tokens

Output $0.045 / 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 Tokens4000

Top P0.9

Frequency Penalty0

Presence Penalty0

Thinkinglow

lowmediumhigh

Deeper thinking spends more of the Max Tokens budget before the answer starts.

Model Info

Support

Looking for something different?
---

Models that trade off differently against the one you are viewing

### Better quality

Newer flagship models that generally produce stronger results.

[OpenAI](https://modelslab.com/models/openai)

 [GPT 5.2](https://modelslab.com/models/openai/gpt-5.2)

[OpenAI](https://modelslab.com/models/openai)

 [GPT 5.1](https://modelslab.com/models/openai/gpt5.1)

[OpenAI](https://modelslab.com/models/openai)

 [GPT-5.1-Codex-Max](https://modelslab.com/models/openai/gpt-5.1-codex-max)

### Lower cost per run

Open-source models we host, unlimited on the $149/month plan.

[ModelsLab](https://modelslab.com/models/modelslab) Popular

 [Modelslab: Custom LLM](https://modelslab.com/models/modelslab/uncensored-chat)Open Source Model

[Qwen](https://modelslab.com/models/open_router)

 [Qwen3 30B A3b](https://modelslab.com/models/Qwen/Qwen-Qwen3-30B-A3B)Closed Source Model

[Qwen](https://modelslab.com/models/open_router)

 [Qwen3 14B](https://modelslab.com/models/Qwen/Qwen-Qwen3-14B)Closed Source Model

[Mistral AI](https://modelslab.com/models/open_router)

 [Mistral: Mistral Nemo](https://modelslab.com/models/mistralai/mistralai-mistral-nemo)Closed Source Model

[Qwen](https://modelslab.com/models/open_router)

 [Qwen3 Coder 30B A3b Instruct](https://modelslab.com/models/Qwen/Qwen-Qwen3-Coder-30B-A3B-Instruct)Closed Source Model

[NVIDIA](https://modelslab.com/models/open_router)

 [NVIDIA: Nemotron 3.5 Super VL (free)](https://modelslab.com/models/nvidia/nvidia-nemotron-3.5-super-vl-free)Closed Source Model

Related Models
---

Discover similar models you might be interested in

 [View all LLM Models](https://modelslab.com/models?feature=llmaster)

[#### Alibaba Cloud/Qwen: Qwen3.5-27B

qwen-qwen3.5-27b

From $1.35/M tokens](https://modelslab.com/models/alibaba_cloud/qwen-qwen3.5-27b)

[#### Alibaba Cloud/Qwen: Qwen3.5 397B A17B

qwen-qwen3.5-397b-a17b

From $2.10/M tokens](https://modelslab.com/models/alibaba_cloud/qwen-qwen3.5-397b-a17b)

[#### Qwen/Qwen3.5 9B FP8

Qwen-Qwen3.5-9B

From $0.13/M tokens](https://modelslab.com/models/Qwen/Qwen-Qwen3.5-9B)

[#### Meta/Llama 4 Maverick Instruct (17Bx128E)

meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8

From $0.56/M tokens](https://modelslab.com/models/meta/meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8)

[#### Moonshot AI/MoonshotAI: Kimi K2 Thinking

moonshotai-kimi-k2-thinking

From $1.55/M tokens](https://modelslab.com/models/moonshotai/moonshotai-kimi-k2-thinking)

[#### Cohere/Cohere: Command A+

cohere-command-a-plus

From $0.90/M tokens](https://modelslab.com/models/cohere/cohere-command-a-plus)

[#### Z.ai/Z.ai: GLM 5.3 Prime

z-ai-glm-5.3-prime

From $5.80/M tokens](https://modelslab.com/models/z-ai/z-ai-glm-5.3-prime)

[#### Qwen/Qwen: Qwen-Plus

qwen-qwen-plus

From $0.52/M tokens](https://modelslab.com/models/qwen/qwen-qwen-plus)

[#### DeepSeek/DeepSeek: DeepSeek V4 Flash Latest

deepseek-deepseek-v4-flash-latest

From $0.17/M tokens](https://modelslab.com/models/deepseek/deepseek-deepseek-v4-flash-latest)

[#### Mistral AI/Mistral Small (24B) Instruct 25.01

mistralai-Mistral-Small-24B-Instruct-2501

From $0.20/M tokens](https://modelslab.com/models/mistralai/mistralai-Mistral-Small-24B-Instruct-2501)

[#### Meta/Meta Llama 3.1 8B

meta-llama-Meta-Llama-3.1-8B

From $0.20/M tokens](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-8B)

[#### Mistral AI/Mistral: Mistral Small 3.1 24B

mistralai-mistral-small-3.1-24b-instruct

From $0.45/M tokens](https://modelslab.com/models/mistralai/mistralai-mistral-small-3.1-24b-instruct)

[#### Qwen/Qwen: Qwen3.7 Plus (batch)

qwen-qwen3.7-plus-batch

From $0.57/M tokens](https://modelslab.com/models/qwen/qwen-qwen3.7-plus-batch)

[#### OpenAI/OpenAI: GPT-4o (2024-11-20)

openai-gpt-4o-2024-11-20

From $6.25/M tokens](https://modelslab.com/models/openai/openai-gpt-4o-2024-11-20)

[#### Google/Google: Gemini 3.1 Pro Preview Custom Tools

google-gemini-3.1-pro-preview-customtools

From $7.00/M tokens](https://modelslab.com/models/google/google-gemini-3.1-pro-preview-customtools)

[#### NVIDIA/NVIDIA: Nemotron 3 Ultra

nvidia-nemotron-3-ultra-550b-a55b

From $1.50/M tokens](https://modelslab.com/models/nvidia/nvidia-nemotron-3-ultra-550b-a55b)

[#### Meta/Meta: Muse Ember

meta-muse-ember

From $0.30/M tokens](https://modelslab.com/models/meta/meta-muse-ember)

[#### Qwen/Qwen: Qwen3.8 Max (0902) (batch)

qwen-qwen3.8-max-0902-batch

From $2.30/M tokens](https://modelslab.com/models/qwen/qwen-qwen3.8-max-0902-batch)

About InclusionAI: Ling 3.0 Tiny
---

Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable...

### Technical Specifications

Model IDinclusionai-ling-3.0-tiny

CategoryLLM Models

TaskText Generation

Price$0.03 per million tokens

AddedNovember 5, 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 InclusionAI: Ling 3.0 Tiny 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": "inclusionai-ling-3.0-tiny",
        "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

InclusionAI: Ling 3.0 Tiny API costs $0.03 per million tokens. Plans start at $21/month, and open-source models are unlimited on the $149/month plan. [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 inclusionAI](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

InclusionAI: Ling 3.0 Tiny FAQ
---

### What is InclusionAI: Ling 3.0 Tiny?

Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable...

### How do I use the InclusionAI: Ling 3.0 Tiny API?

You can integrate InclusionAI: Ling 3.0 Tiny into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "inclusionai-ling-3.0-tiny" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does InclusionAI: Ling 3.0 Tiny cost?

InclusionAI: Ling 3.0 Tiny costs $0.03 per million tokens. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models.

### What is the InclusionAI: Ling 3.0 Tiny model ID?

The model ID for InclusionAI: Ling 3.0 Tiny is "inclusionai-ling-3.0-tiny". Use this ID in your API requests to specify this model.

### Do I need a paid plan to use InclusionAI: Ling 3.0 Tiny?

Yes. ModelsLab is subscription-based with no free tier — plans start at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generation across open-source models; premium third-party models are billed per call from your wallet.

---

*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 - 2026-11-10*