Arcee AI: Trinity Large Thinking
Analysis Summary
Arcee AI's Trinity Large Thinking is a text model with a 262K context window, tool use, and function calling. Its measured intelligence and coding results are low, while its tool-interaction measurement is a notable relative strength. Listed rates are $0.25 per million input tokens and $0.80 per million output tokens. The benchmark profile is mixed rather than broadly strong.
The model may be worth testing for narrow tool-driven tasks where the observed tool result aligns with the workflow. However, the low reasoning and coding measurements limit its suitability for complex analysis, software engineering, and unsupervised client-facing agents. Long context is useful for handling larger inputs, but does not by itself establish reliable long-document reasoning.
Use it only after a task-specific pilot, with monitoring and human review around tool actions. It is not the first choice for general agency work based on the provided evidence.
Assessed September 23, 2026
Editorial notes
Trinity Large Thinking provides a 262K context and tool support, with a strong tool-interaction measurement but weak overall reasoning and coding results.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Trinity Large Thinking provides a 262K context and tool support, with a strong tool-interaction measurement but weak overall reasoning and coding results.
Benchmarks
Artificial Analysis data refreshed Oct 22, 2026. Arena ratings from the Oct 20, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
How Arcee AI: Trinity Large Thinking compares
Arcee AI: Trinity Large Thinking ranks #220 of 442 AI models we track for overall intelligence, #118 of 198 for coding, #157 of 181 for agentic tasks. Its 262K-token context window is larger than 74% of the models we list. At $0.25 per million input tokens it is cheaper than 48% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.25 | $0.000250 |
| Output | $0.80 | $0.000800 |
What would Arcee AI: Trinity Large Thinking cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 717 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Arcee AI: Trinity Large Thinking for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
Frequently asked questions about Arcee AI: Trinity Large Thinking
How much does Arcee AI: Trinity Large Thinking cost?
Arcee AI: Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens.
What is the context window of Arcee AI: Trinity Large Thinking?
Arcee AI: Trinity Large Thinking has a context window of 262,144 tokens (262K).
Is Arcee AI: Trinity Large Thinking good for coding?
On our coding benchmark index, Arcee AI: Trinity Large Thinking ranks #118 of 198 models, placing it in the broader range of the field for code generation and debugging.
What can Arcee AI: Trinity Large Thinking do?
Arcee AI: Trinity Large Thinking supports tool use and function calling.
Who created Arcee AI: Trinity Large Thinking?
Arcee AI: Trinity Large Thinking is developed by Arcee AI and was released on April 1, 2026.