Trinity Large Thinking, the Arcee AI model in numbers

Overview

Arcee AI released Trinity Large Thinking on April 1, 2026. It has a reasoning mode: it can "think" before answering, which helps with multi-step problems but uses more tokens, and therefore more money. It is an open-weight model: you can host it yourself on infrastructure you control, and 6 API providers listed on models.dev also offer it. That makes it 6 months old as of October 22, 2026.

We file it under open-weight models (68 models in this category on the site).

Measured performance

As of October 22, 2026, Epoch AI publishes no score for Trinity Large Thinking on our basket's benchmarks. To place it, rely on its specifications and price, then test it on your own cases.

Pricing and budget

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens (median of 6 providers, checked on October 22, 2026).

In practice, an agent task that reads 20,000 tokens and writes 2,000 costs about $0.007, or $6.6 for 1,000 such tasks.

That is 1.3 times cheaper than the median output price of open-weight models ($1).

To estimate your own budget, use the agent cost calculator.

Context and capabilities

Its context window reaches 262,144 tokens, roughly 393 pages of text at 500 words per page: enough for a long report or several contracts at once. A single answer can run to 80,000 tokens.

It accepts as input: text.

It can call tools (functions, APIs), which makes it a possible foundation for an AI agent.

The weights are published on Hugging Face (arcee-ai/Trinity-Large-Thinking). See also our list of open-source models.

What is it good for?

Given its category, Trinity Large Thinking is mainly aimed at projects where you want control over your data or hosting, or want to adapt the model to your field.

Before adopting it, test it on your own examples: benchmarks measure standard tasks, not your job.

What could replace it?

In the same category, the models closest to Trinity Large Thinking are:

• Llama-3.3-70B-Instruct (Meta, $0.76 per million output tokens)
• MiMo-V2.6-Pro (Xiaomi (MiMo), $0.87 per million output tokens)
• MiMo-V2.5-Pro (Xiaomi (MiMo), $0.87 per million output tokens)
• DeepSeek V4 Flash Vision Exp (DeepSeek, $0.65 per million output tokens)