--- title: Nex AGI: Nex N2 Mini API | Text Generation | ModelsLab description: Build with Nex AGI: Nex N2 Mini API by Nex Agi. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/nex-agi/nex-agi-nex-n2-mini.md canonical: https://modelslab.com/models/nex-agi/nex-agi-nex-n2-mini.md type: product component: Playground/LLM/Index generated_at: 2026-07-06T22:52:14.491979Z --- Nex AGI: Nex-N2-Mini --- [LLMs.txt](https://modelslab.com/models/open_router/nex-agi-nex-n2-mini/llms.txt) [.md](https://modelslab.com/models/nex-agi/nex-agi-nex-n2-mini.md) Nex AGI: Nex-N2-Mini --- 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 ### Nex AGI: Nex-N2-Mini nex-agi nex-agi-nex-n2-mini Copy model ID PricingInput $0.025 / 1M tokens Output $0.10 / 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) [#### open\_router/OpenAI: GPT-4o openai-gpt-4o From $6.25/M tokens](https://modelslab.com/models/open_router/openai-gpt-4o) [#### open\_router/Mistral: Mixtral 8x22B Instruct mistralai-mixtral-8x22b-instruct From $4.00/M tokens](https://modelslab.com/models/open_router/mistralai-mixtral-8x22b-instruct) [#### meta/Llama 3.1 Nemotron 70B Instruct HF nvidia-Llama-3.1-Nemotron-70B-Instruct-HF From $0.88/M tokens](https://modelslab.com/models/meta/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF) [#### open\_router/MiniMax: MiniMax M2.1 minimax-minimax-m2.1 From $0.75/M tokens](https://modelslab.com/models/open_router/minimax-minimax-m2.1) [#### open\_router/Nous: Hermes 4 70B nousresearch-hermes-4-70b From $0.27/M tokens](https://modelslab.com/models/open_router/nousresearch-hermes-4-70b) [#### together\_ai/MiniMax M2.7 FP4 MiniMaxAI-MiniMax-M2.7 From $0.75/M tokens](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M2.7) [#### open\_router/Qwen2.5 72B Instruct qwen-qwen-2.5-72b-instruct From $0.38/M tokens](https://modelslab.com/models/open_router/qwen-qwen-2.5-72b-instruct) [#### open\_router/Poolside: Laguna XS.2 poolside-laguna-xs.2 From $0.15/M tokens](https://modelslab.com/models/open_router/poolside-laguna-xs.2) [#### open\_router/DeepSeek: DeepSeek V3.1 Terminus deepseek-deepseek-v3.1-terminus From $0.61/M tokens](https://modelslab.com/models/open_router/deepseek-deepseek-v3.1-terminus) [#### mistral\_ai/Mistral (7B) Instruct v0.3 mistralai-Mistral-7B-Instruct-v0.3 From $0.20/M tokens](https://modelslab.com/models/mistral_ai/mistralai-Mistral-7B-Instruct-v0.3) [#### open\_router/Cohere: Command R+ (08-2024) cohere-command-r-plus-08-2024 From $6.25/M tokens](https://modelslab.com/models/open_router/cohere-command-r-plus-08-2024) [#### open\_router/Anthropic: Claude Sonnet 4.6 anthropic-claude-sonnet-4.6 From $9.00/M tokens](https://modelslab.com/models/open_router/anthropic-claude-sonnet-4.6) [#### open\_router/TheDrummer: Cydonia 24B V4.1 thedrummer-cydonia-24b-v4.1 From $0.40/M tokens](https://modelslab.com/models/open_router/thedrummer-cydonia-24b-v4.1) [#### open\_router/Mistral: Ministral 3 14B 2512 mistralai-ministral-14b-2512 From $0.20/M tokens](https://modelslab.com/models/open_router/mistralai-ministral-14b-2512) [#### together\_ai/Kimi K2.6 Fp4 moonshotai-Kimi-K2.6 From $2.85/M tokens](https://modelslab.com/models/together_ai/moonshotai-Kimi-K2.6) [#### open\_router/OpenAI: GPT-4o (2024-11-20) openai-gpt-4o-2024-11-20 From $6.25/M tokens](https://modelslab.com/models/open_router/openai-gpt-4o-2024-11-20) [#### open\_router/Qwen: Qwen3 VL 30B A3B Instruct qwen-qwen3-vl-30b-a3b-instruct From $0.33/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-vl-30b-a3b-instruct) [#### open\_router/Z.ai: GLM 4.7 Flash z-ai-glm-4.7-flash From $0.23/M tokens](https://modelslab.com/models/open_router/z-ai-glm-4.7-flash) 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 Nex AGI: Nex-N2-Mini --- Nex-N2-Mini is an open-source agentic mixture-of-experts model from Nex AGI, the smaller sibling in the Nex-N2 series. It accepts text and image input and is built for coding, tool use,... ### Technical Specifications Model IDnex-agi-nex-n2-mini CategoryLLM Models TaskText Generation Price$0.0625 per million tokens AddedJuly 6, 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 Nex AGI: Nex-N2-Mini 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": "nex-agi-nex-n2-mini", "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}") ``` ### Pricing Nex AGI: Nex-N2-Mini API costs $0.062500 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 Nex Agi](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) Nex AGI: Nex-N2-Mini FAQ --- ### What is Nex AGI: Nex-N2-Mini? Nex-N2-Mini is an open-source agentic mixture-of-experts model from Nex AGI, the smaller sibling in the Nex-N2 series. It accepts text and image input and is built for coding, tool use,... ### How do I use the Nex AGI: Nex-N2-Mini API? You can integrate Nex AGI: Nex-N2-Mini into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "nex-agi-nex-n2-mini" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Nex AGI: Nex-N2-Mini cost? Nex AGI: Nex-N2-Mini costs $0.062500 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Nex AGI: Nex-N2-Mini model ID? The model ID for Nex AGI: Nex-N2-Mini is "nex-agi-nex-n2-mini". Use this ID in your API requests to specify this model. ### Does Nex AGI: Nex-N2-Mini have a free tier? Yes, ModelsLab offers a free tier that lets you try Nex AGI: Nex-N2-Mini 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 - 2026-07-07*