Trinity Large Thinking
Arcee AI • llm
Grande modelo de linguagem (llm) desenvolvido pela Arcee AI — Intelligence Index 32/100 no Artificial Analysis; US$ 0.235/1M tokens de entrada; 129 tokens/s de velocidade.
Specifications
Context Window
—
Input Price/1M
$0.23
Output Price/1M
$0.88
Parameters
—
Speed
196 tok/s
Latency (TTFT)
612ms
Benchmarks
Trinity Large Thinking results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 23.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Coding | 65.7 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| SciCode | 36.0 | 100.0 | — |
| 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 |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 33.0 | 100.0 | — |
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 | 24.5 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 75.0 | 100.0 | Artificial Analysis official API |
| IFBench | 56.0 | 100.0 | — |
| LiveBench Reasoning | 20.6 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| HLE | 15.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 90.0 | 100.0 | — |
Information
- Release date
- April 01, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Trinity Large Thinking
What is Trinity Large Thinking?
Trinity Large Thinking is an AI model developed by Arcee AI, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Arcee AI's cloud API.
Pricing & Costs in 2026
Trinity Large Thinking is usage-based, priced at $0.235/1M input tokens and $0.875/1M 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
Trinity Large Thinking was evaluated on 15 different benchmarks, covering categories like Agentic, Coding, Data Analysis, Language, Long Context, Math, overall, Reasoning, Tool Use. Results show exceptional 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
Trinity Large Thinking is suitable for a wide range of AI applications: high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, 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 Trinity Large Thinking?
Trinity Large Thinking is an AI model developed by Arcee AI. It is a llm model.
How much does Trinity Large Thinking cost?
Trinity Large Thinking costs $0.235/1M input tokens and $0.875/1M 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 Trinity Large Thinking compare with other models?
In available benchmarks, Trinity Large Thinking scored: Terminal-Bench Hard: 23/100, LiveBench Coding: 65.65/100, SciCode: 36/100. See the full table above for a detailed comparison.
Is Trinity Large Thinking open source?
No, Trinity Large Thinking is a proprietary model from Arcee AI. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Trinity Large Thinking best for?
Trinity Large Thinking excels at general-purpose language tasks.
Last updated: July 17, 2026 • View methodology →