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.
Context Window
—
Input Price/1M
$0.23
Output Price/1M
$0.88
Parameters
—
Speed
175 tok/s
Latency (TTFT)
686ms
Trinity Large Thinking results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 23.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 36.0 | 100.0 | — |
| AA Coding Index | 27.2 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 33.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 31.9 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 75.0 | 100.0 | Artificial Analysis official API |
| IFBench | 56.0 | 100.0 | — |
| HLE | 15.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 90.0 | 100.0 | — |
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.
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.
Trinity Large Thinking was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, 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.
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.
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.
Trinity Large Thinking is an AI model developed by Arcee AI. It is a llm model.
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.
In available benchmarks, Trinity Large Thinking scored: Terminal-Bench Hard: 23/100, SciCode: 36/100, AA Coding Index: 27.2/100. See the full table above for a detailed comparison.
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.
Trinity Large Thinking excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →