--- title: Arcee AI: Trinity Large Thinking | Text Generation | ModelsLab description: Build with Arcee AI: Trinity Large Thinking 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-thinking.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/arcee-ai/arcee-ai-trinity-large-thinking.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T09:42:41.836004Z --- Arcee AI: Trinity Large Thinking --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/arcee-ai-trinity-large-thinking/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/arcee-ai/arcee-ai-trinity-large-thinking.md) arcee-ai-trinity-large-thinking arcee-ai Closed Source Model $0.535000 / call Arcee AI: Trinity Large Thinking --- 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 Thinking arcee-ai arcee-ai-trinity-large-thinking Copy model ID PricingInput $0.22 / 1M tokens Output $0.85 / 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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [![GPT-5.1-Codex-Max](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/3d49b0e2-89a1-409b-ae7b-16ca83a2870e.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5.1-codex-max)[Open Ai](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai) [GPT-5.1-Codex-Max Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5.1-codex-max) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-audio-mini)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT Audio Mini Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-audio-mini) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-3.3-70B-Instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [meta-llama/Llama-3.3-70B-Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-3.3-70B-Instruct) [N3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-meta-llama-3.2-90b-vision-instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [nim/meta/llama-3.2-90b-vision-instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-meta-llama-3.2-90b-vision-instruct) [GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-2.5-pro)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Google: Gemini 2.5 Pro Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-2.5-pro) [AN](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/amazon-nova-2-lite-v1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Amazon: Nova 2 Lite Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/amazon-nova-2-lite-v1) [L4](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Llama-4-Scout-17B-16E-Instruct)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta) [Llama 4 Scout Instruct (17Bx16E) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Llama-4-Scout-17B-16E-Instruct) [MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/MiniMaxAI-MiniMax-M2.7)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [MiniMax M2.7 FP4 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/MiniMaxAI-MiniMax-M2.7) [XM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/xiaomi-mimo-v2-flash)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Xiaomi: MiMo-V2-Flash Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/xiaomi-mimo-v2-flash) [QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Qwen: Qwen3 Coder 480B A35B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder) [DD](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v3.2-speciale)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [DeepSeek: DeepSeek V3.2 Speciale Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v3.2-speciale) [CV](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepcogito-cogito-v1-preview-llama-70B-Turbo)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Cogito V1 Preview Llama 70B Turbo Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepcogito-cogito-v1-preview-llama-70B-Turbo) [R1](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/perplexity_ai/perplexity-ai-r1-1776)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/perplexity_ai) [R1 1776 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/perplexity_ai/perplexity-ai-r1-1776) [MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m2.1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [MiniMax: MiniMax M2.1 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m2.1) [ER](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/togethercomputer-EssentialAI-RNJ-1-Instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [EssentialAI Rnj-1 Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/togethercomputer-EssentialAI-RNJ-1-Instruct) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.4-nano)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-5.4 Nano Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.4-nano) [QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder-30b-a3b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Qwen: Qwen3 Coder 30B A3B Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder-30b-a3b-instruct) [![Gemini 2.5 Pro](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/ede9a278-de62-47fb-a53d-99ee4c7b7abc.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/gemini-2.5-pro)[Google](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google) [Gemini 2.5 Pro Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/gemini-2.5-pro) About Arcee AI: Trinity Large Thinking --- Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7... ### Technical Specifications Model IDarcee-ai-trinity-large-thinkingCategoryLLM ModelsTaskText GenerationPrice$0.535000 per million tokensAddedApril 1, 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 Thinking 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-thinking", "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-thinking/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Arcee AI: Trinity Large Thinking API costs $0.535000 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 Thinking FAQ --- ### What is Arcee AI: Trinity Large Thinking? Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7... ### How do I use the Arcee AI: Trinity Large Thinking API? You can integrate Arcee AI: Trinity Large Thinking 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-thinking" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Arcee AI: Trinity Large Thinking cost? Arcee AI: Trinity Large Thinking costs $0.535000 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 Thinking model ID? The model ID for Arcee AI: Trinity Large Thinking is "arcee-ai-trinity-large-thinking". Use this ID in your API requests to specify this model. ### Does Arcee AI: Trinity Large Thinking have a free tier? Yes, ModelsLab offers a free tier that lets you try Arcee AI: Trinity Large Thinking 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*