MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
Specs
arcee-ai/trinity-large-thinkingHow to use Trinity Large Thinking in your app
The quickest way is through an API gateway such as OpenRouter, which uses the same format as the OpenAI API. Create a key, then send a request with the model ID arcee-ai/trinity-large-thinking:
Prefer no code? Many tools in our AI tools directory run on models like this one.
Questions about Trinity Large Thinking
What is 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 big is the context window of Trinity Large Thinking?
Trinity Large Thinking can read up to 262,144 tokens in one request, roughly 196,608 words.
How much does Trinity Large Thinking cost?
Through OpenRouter, Trinity Large Thinking costs about $0.25 / 1M tokens for input and $0.80 / 1M tokens for output. Prices change, so check before large jobs.
Is Trinity Large Thinking open source?
Trinity Large Thinking has open weights, so you can download and run it yourself, subject to its licence.
What can Trinity Large Thinking take as input?
Trinity Large Thinking accepts text and produces text.
Latest AI models
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...
Specs and prices come from OpenRouter and the provider, and are refreshed daily. Last checked 1 Apr 2026.