Arcee AI: Trinity Large Thinking
Analysis Summary
Arcee AI: Trinity Large Thinking sits in the Specialist tier on our leaderboard, ranked #83 of 525 published models on overall intelligence. At $0.220 input and $0.850 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, and reasoning.
Editorial notes
Arcee AI's Trinity Large Thinking is a budget-friendly reasoning model with tool use and a 262K context window, offering decent performance for its price point though its benchmark scores place it in the mid-tier range.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Arcee AI: Trinity Large Thinking stack up?
Compare side-by-side with other specialist models.
Model Information
| OpenRouter ID |
arcee-ai/trinity-large-thinking
|
| Provider | arcee-ai |
| Release Date | April 1, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.22 | $0.000220 |
| Output | $0.85 | $0.000850 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 25, 2026 8:38 pm