UltraGPT
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...
Intelligence overview
262.1K tok
Context window
80K tok
Max output
What Arcee AI: Trinity Large Thinking can do.
Reasoning
Extended reasoning
Works through problems step by step before answering, trading latency for accuracy on harder tasks.
Development
Tool calling
Calls external functions mid-response, then continues reasoning from the result.
Streaming
Streams tokens as they're generated instead of waiting on the full response.
Performance
Design Arena — ranked #63 across 8 categories
Pay for what you use.
Every model in UltraGPT runs behind one flat subscription — this is the underlying per-token cost the catalog tracks.
$0.25 / 1M tok
$0.8 / 1M tok
Built for serious work.
Build
Generate and refactor code, with the ability to run and verify tool calls.
Think
Works through multi-step problems with extended reasoning before it answers.
Research
Holds up to 262.1K tokens of source material in context without losing the thread.
Automate
Chains tool calls across multi-step workflows, reasoning between each one.
Ask Arcee AI: Trinity Large Thinking anything.
A preview of the real UltraGPT composer — the model you see here is the model you get.
Continues in the UltraGPT app — one login, every model.
How Arcee AI: Trinity Large Thinking stacks up.
The closest models in the catalog by provider, capability and score — real entries, pulled from the same directory.
Technical details.
Specification
- Context window
- 262.1K tokens
- Max output
- 80K tokens
- Input modalities
- Text
- Output modalities
- Text
- Release date
- Apr 1, 2026
- Streaming
- Supported
- Tool calling
- Supported
- JSON mode
- Not supported
More from Arcee Ai, and everything else.
This model is one entry in the full UltraGPT catalog — browse the rest, compare pricing and context windows, or filter by capability.