Arcee AI: Trinity Large Thinking
Arcee AI • LLM
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
Specifications
Context Window
262K tokens
Input Price/1M
$0.22
Output Price/1M
$0.85
Parameters
—
Max Output
262K tokens
Benchmarks
Arcee AI: Trinity Large Thinking results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Coding | 65.7 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Coding Index | 27.2 | 100.0 | Artificial Analysis official API |
Data Analysis
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Data Analysis | 40.3 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Language
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Language | 42.1 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Math | 44.9 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Global | 32.7 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Intelligence Index | 31.9 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 75.2 | 100.0 | Artificial Analysis official API |
| LiveBench Reasoning | 20.6 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Information
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Arcee AI: Trinity Large Thinking
What is Arcee AI: Trinity Large Thinking?
Arcee AI: Trinity Large Thinking is an AI model developed by Arcee AI, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 262K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Arcee AI: Trinity Large Thinking is usage-based, priced at $0.22/1M input tokens and $0.85/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Arcee AI: Trinity Large Thinking was evaluated on 9 different benchmarks, covering categories like Coding, Data Analysis, Language, Math, overall, Reasoning. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Arcee AI: Trinity Large Thinking is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), high-volume chatbots and automated support, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Arcee AI: Trinity Large Thinking competes directly with similarly capable models. Arcee AI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
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 much does Arcee AI: Trinity Large Thinking cost?
Arcee AI: Trinity Large Thinking costs $0.22/1M input tokens and $0.85/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Arcee AI: Trinity Large Thinking compare with other models?
In available benchmarks, Arcee AI: Trinity Large Thinking scored: LiveBench Coding: 65.65/100, AA Coding Index: 27.2/100, LiveBench Data Analysis: 40.33/100. See the full table above for a detailed comparison.
Is Arcee AI: Trinity Large Thinking open source?
Yes, Arcee AI: Trinity Large Thinking is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is Arcee AI: Trinity Large Thinking best for?
Arcee AI: Trinity Large Thinking excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: May 24, 2026 • View methodology →