--- title: InclusionAI: Ling 2.6 Flash (free) | Text Generation | ModelsLab description: Build with InclusionAI: Ling 2.6 Flash (free) API by Inclusionai. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/inclusionai/inclusionai-ling-2.6-flash-free/api.md canonical: https://modelslab.com/models/inclusionai/inclusionai-ling-2.6-flash-free/api.md type: product component: Playground/LLM/Index generated_at: 2026-04-23T03:23:22.267511Z --- inclusionAI: Ling-2.6-flash (free) --- [LLMs.txt](https://modelslab.com/models/open_router/inclusionai-ling-2.6-flash-free/llms.txt) [.md](https://modelslab.com/models/inclusionai/inclusionai-ling-2.6-flash-free.md) inclusionai-ling-2.6-flash-free inclusionai Closed Source Model inclusionAI: Ling-2.6-flash (free) --- 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 ### inclusionAI: Ling-2.6-flash (free) inclusionai inclusionai-ling-2.6-flash-free Copy model ID PricingInput $0.00 / 1M tokens Output $0.00 / 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/together_ai/Qwen-QwQ-32B)[Together AI](https://modelslab.com/models/together_ai) [Qwen QwQ-32B Closed Source Model](https://modelslab.com/models/together_ai/Qwen-QwQ-32B) [ML](https://modelslab.com/models/meta/meta-llama-Llama-3.2-11B-Vision-Instruct-Turbo)[ModelsLab](https://modelslab.com/models/meta) [Meta Llama 3.2 11B Vision Instruct Turbo Closed Source Model](https://modelslab.com/models/meta/meta-llama-Llama-3.2-11B-Vision-Instruct-Turbo) [![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) [N3](https://modelslab.com/models/together_ai/nim-nvidia-llama-3.3-nemotron-super-49b-v1)[Together AI](https://modelslab.com/models/together_ai) [nim/nvidia/llama-3.3-nemotron-super-49b-v1 Closed Source Model](https://modelslab.com/models/together_ai/nim-nvidia-llama-3.3-nemotron-super-49b-v1) [Q7](https://modelslab.com/models/open_router/qwen-qwen-2.5-72b-instruct)[Open Router](https://modelslab.com/models/open_router) [Qwen2.5 72B Instruct Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen-2.5-72b-instruct) [MM](https://modelslab.com/models/open_router/minimax-minimax-m2.1)[Open Router](https://modelslab.com/models/open_router) [MiniMax: MiniMax M2.1 Closed Source Model](https://modelslab.com/models/open_router/minimax-minimax-m2.1) [MD](https://modelslab.com/models/open_router/mistralai-devstral-small)[Open Router](https://modelslab.com/models/open_router) [Mistral: Devstral Small 1.1 Closed Source Model](https://modelslab.com/models/open_router/mistralai-devstral-small) [OG](https://modelslab.com/models/open_router/openai-gpt-4-1106-preview)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4 Turbo (older v1106) Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4-1106-preview) [ML](https://modelslab.com/models/open_router/mistralai-mistral-large)[Open Router](https://modelslab.com/models/open_router) [Mistral Large Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-large) [MM](https://modelslab.com/models/open_router/mistralai-mistral-small-3.2-24b-instruct)[Open Router](https://modelslab.com/models/open_router) [Mistral: Mistral Small 3.2 24B Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-small-3.2-24b-instruct) [AN](https://modelslab.com/models/open_router/amazon-nova-2-lite-v1)[Open Router](https://modelslab.com/models/open_router) [Amazon: Nova 2 Lite Closed Source Model](https://modelslab.com/models/open_router/amazon-nova-2-lite-v1) [NN](https://modelslab.com/models/together_ai/nvidia-NVIDIA-Nemotron-Nano-9B-v2)[Together AI](https://modelslab.com/models/together_ai) [Nvidia Nemotron Nano 9B V2 Closed Source Model](https://modelslab.com/models/together_ai/nvidia-NVIDIA-Nemotron-Nano-9B-v2) [PS](https://modelslab.com/models/open_router/perplexity-sonar-pro-search)[Open Router](https://modelslab.com/models/open_router) [Perplexity: Sonar Pro Search Closed Source Model](https://modelslab.com/models/open_router/perplexity-sonar-pro-search) [QQ](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b-instruct-2507)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3 30B A3B Instruct 2507 Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b-instruct-2507) [QN](https://modelslab.com/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Thinking)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 Next 80B A3b Thinking Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Thinking) [OG](https://modelslab.com/models/open_router/openai-gpt-5)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5 Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5) [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) [SL](https://modelslab.com/models/open_router/sao10k-l3-lunaris-8b)[Open Router](https://modelslab.com/models/open_router) [Sao10K: Llama 3 8B Lunaris Closed Source Model](https://modelslab.com/models/open_router/sao10k-l3-lunaris-8b) About InclusionAI: Ling-2.6-Flash (Free) --- Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency.... ### Technical Specifications Model IDinclusionai-ling-2.6-flash-freeCategoryLLM ModelsTaskText GenerationAddedApril 21, 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-2.6-Flash (Free) into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "inclusionai-ling-2.6-flash-free", "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}") ``` View the [full API documentation](https://modelslab.com/models/inclusionai/inclusionai-ling-2.6-flash-free/api) for SDKs, code examples in Python, JavaScript, and more. ### 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-2.6-Flash (Free) FAQ --- ### What is InclusionAI: Ling-2.6-Flash (Free)? Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency.... ### How do I use the InclusionAI: Ling-2.6-Flash (Free) API? You can integrate InclusionAI: Ling-2.6-Flash (Free) into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "inclusionai-ling-2.6-flash-free" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### What is the InclusionAI: Ling-2.6-Flash (Free) model ID? The model ID for InclusionAI: Ling-2.6-Flash (Free) is "inclusionai-ling-2.6-flash-free". Use this ID in your API requests to specify this model. ### Does InclusionAI: Ling-2.6-Flash (Free) have a free tier? Yes, ModelsLab offers a free tier that lets you try InclusionAI: Ling-2.6-Flash (Free) 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*