Arcee-ai

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...

Context Window
262K tokens
Parameters
N/A
Input Price
$0.22/1M
Output Price
$0.85/1M
Price Tier
budget
Provider
Arcee-ai

How to Use Arcee AI: Trinity Large Thinking

With CoreAI, you can start chatting with Arcee AI: Trinity Large Thinking instantly — no separate subscription needed. CoreAI lets you chat with Arcee AI: Trinity Large Thinking alongside 300+ other AI models from Arcee-ai and other providers like OpenAI, Anthropic, Google, Meta, and more.

  1. Download the CoreAI app for iOS, Android, or use the Web App
  2. Select Arcee AI: Trinity Large Thinking from the model selector
  3. Start chatting, comparing, or creating with AI

Arcee AI: Trinity Large Thinking at a Glance

Measured against all 396 chat models CoreAI serves, Arcee AI: Trinity Large Thinking sits at #162 for context capacity — 262K tokens, roughly 196,608 words or 393 pages of text in a single conversation. On price, it is the #100 cheapest of 130 budget-tier models by input cost. It joined the catalog on 2026-04-01. It supports step-by-step reasoning (thinking mode).

Arcee AI: Trinity Large Thinking Compared to Its Closest Alternatives

SpecArcee AI: Trinity Large ThinkingArcee AI: Virtuoso LargeNVIDIA: Nemotron 3.5 LightninginclusionAI: Ling-2.6-flash
ProviderArcee-aiArcee-aiNVIDIAInclusionai
Input $/1M tokens$0.22$0.75$0.1$0.01
Output $/1M tokens$0.85$1.2$0.25$0.03
Context window262K131K262K262K
Reasoning modeYesNoYesNo
Image inputNoNoNoNo
Price tierbudgetstandardbudgetbudget

Every model in this table is available on CoreAI — open the web app and run the same prompt through Arcee AI: Trinity Large Thinking and Arcee AI: Virtuoso Large side by side to judge with your own eyes.

What Arcee AI: Trinity Large Thinking Actually Costs in Practice

A typical question (about 1,000 tokens in, 500 out) runs $0.00064 on Arcee AI: Trinity Large Thinking's raw per-token rates; a heavy session with a 50K-token document costs about $0.015. On CoreAI you don't juggle these numbers — one subscription covers Arcee AI: Trinity Large Thinking and 300+ other models under a plan usage limit, with no API keys. See plans.

More Arcee-ai Models

Arcee-ai

Arcee AI: Virtuoso Large

Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA.
131K standard

Frequently Asked Questions about Arcee AI: Trinity Large Thinking

What is Arcee AI: Trinity Large Thinking's context window?

Arcee AI: Trinity Large Thinking handles 262K tokens of context — roughly 196,608 words, or about 393 pages of text in one conversation.

How much does Arcee AI: Trinity Large Thinking cost?

Arcee AI: Trinity Large Thinking's underlying rates are $0.22 per 1M input tokens and $0.85 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.

Can Arcee AI: Trinity Large Thinking process images?

No — Arcee AI: Trinity Large Thinking is text-only. If you need image understanding, its budget-tier peers with vision are listed in the comparison table above.

Does Arcee AI: Trinity Large Thinking support reasoning or thinking mode?

Yes. Arcee AI: Trinity Large Thinking can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.

How can I use Arcee AI: Trinity Large Thinking without an API key?

Open the CoreAI web app or the iOS/Android app, pick Arcee AI: Trinity Large Thinking in the model selector, and chat — no API key, no per-token billing. One subscription covers Arcee AI: Trinity Large Thinking and 300+ other models.

What are the best alternatives to Arcee AI: Trinity Large Thinking?

The closest alternatives on CoreAI are Arcee AI: Virtuoso Large, NVIDIA: Nemotron 3.5 Lightning, inclusionAI: Ling-2.6-flash — similar capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.

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