--- title: Arcee AI: Trinity Large Preview | Text Generation | ModelsLab description: Build with Arcee AI: Trinity Large Preview API by Arcee Ai. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/arcee-ai/arcee-ai-trinity-large-preview.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/arcee-ai/arcee-ai-trinity-large-preview.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T08:41:14.409659Z --- Arcee AI: Trinity Large Preview --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/arcee-ai-trinity-large-preview/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/arcee-ai/arcee-ai-trinity-large-preview.md) arcee-ai-trinity-large-preview arcee-ai Closed Source Model $0.300000 / call Arcee AI: Trinity Large Preview --- 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 ### Arcee AI: Trinity Large Preview arcee-ai arcee-ai-trinity-large-preview Copy model ID PricingInput $0.15 / 1M tokens Output $0.45 / 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. 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[Q3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-30B-A3B-Base)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen3 30B A3b Base Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-30B-A3B-Base) About Arcee AI: Trinity Large Preview --- Trinity-Large-Preview is a frontier-scale open-weight language model from Arcee, built as a 400B-parameter sparse Mixture-of-Experts with 13B active parameters per token using 4-of-256 expert routing. It excels in creative writing,... ### Technical Specifications Model IDarcee-ai-trinity-large-previewCategoryLLM ModelsTaskText GenerationPrice$0.300000 per million tokensAddedApril 22, 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 Arcee AI: Trinity Large Preview 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 ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "arcee-ai-trinity-large-preview", "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-frontend-v2-927501783998.us-east4.run.app/models/arcee-ai/arcee-ai-trinity-large-preview/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Arcee AI: Trinity Large Preview API costs $0.300000 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 Arcee Ai](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) Arcee AI: Trinity Large Preview FAQ --- ### What is Arcee AI: Trinity Large Preview? Trinity-Large-Preview is a frontier-scale open-weight language model from Arcee, built as a 400B-parameter sparse Mixture-of-Experts with 13B active parameters per token using 4-of-256 expert routing. It excels in creative writing,... ### How do I use the Arcee AI: Trinity Large Preview API? You can integrate Arcee AI: Trinity Large Preview into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "arcee-ai-trinity-large-preview" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Arcee AI: Trinity Large Preview cost? Arcee AI: Trinity Large Preview costs $0.300000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Arcee AI: Trinity Large Preview model ID? The model ID for Arcee AI: Trinity Large Preview is "arcee-ai-trinity-large-preview". Use this ID in your API requests to specify this model. ### Does Arcee AI: Trinity Large Preview have a free tier? Yes, ModelsLab offers a free tier that lets you try Arcee AI: Trinity Large Preview 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*