Trinity Large Thinking
VerifiedProprietary LLM built for deep reasoning over massive text contexts.
About Trinity Large Thinking
Trinity Large Thinking is a proprietary LLM developed by Arcee-ai. Its design centers on an unusually large 262144-token context window that allows the model to ingest and reference extensive passages without truncation. Because the weights are not open, access occurs through hosted inference rather than local deployment.
The model excels when tasks demand retention of details spread across lengthy inputs. Typical usage includes analyzing full reports, maintaining multi-turn technical discussions, or synthesizing information from large codebases and documentation sets. Its text-only modality keeps the focus on language-based reasoning rather than multimodal processing.
Capabilities
How Trinity Large Thinking compares
Trinity Large Thinking (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Trinity Large Thinking ranks #34 of 66
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-document analysis
The 262144-token context window allows the model to process and reason over entire technical manuals, legal contracts, or research papers without chunking.
Multi-step technical reasoning
Named for its thinking focus, the model handles chained logic problems such as debugging large codebases or deriving solutions from extended problem statements.
Enterprise knowledge synthesis
It can integrate information across very long internal knowledge bases to produce coherent summaries or decision-support outputs in one pass.
Strengths & limitations
Strengths
- +Very large context window enabling detailed document analysis
- +Emphasis on reasoning and thinking processes
- +Pure text modality for focused language tasks
Limitations
- –Text-only with no vision or multimodal support
- –High computational requirements typical of large models
Pricing by provider
Live per-provider pricing & uptime, routed via OpenRouter. Prices are USD per 1M tokens.
| Provider | Input /1M | Output /1M | Context | Uptime |
|---|---|---|---|---|
| Parasail(fp4) | $0.22 | $0.85 | 262K | — |
| Arcee AI | $0.25 | $0.80 | 262K | — |
| Venice(fp8) | $0.31 | $1.13 | 256K | — |
Cost calculator
Estimate what Trinity Large Thinking would cost for your usage.
Based on Trinity Large Thinking's $0.22/1M input · $0.85/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "arcee-ai/trinity-large-thinking",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: arcee-ai/trinity-large-thinking
Editor's verdict
Trinity Large Thinking is Arcee-ai's proprietary language models with a 262K-token context window.
At $0.85 per 1M output tokens, it is very cost-efficient for its class, served by 3 providers.
It is available through Arcee-ai's API and aggregators like OpenRouter.
Best suited to very large context window enabling detailed document analysis and emphasis on reasoning and thinking processes.
Frequently asked questions
Pricing details are not included in the provided model specifications.
User reviews
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