Arcee AideepTool use

Trinity Large Thinking (free)

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

262K context·~197K words·80K max output

View context details Compare with Amazon Titan Text Express

Context window262Ktokens

Max output80Ktokens

Context window

This model accepts 262K tokens in one request (~197K words of text).

Context window size262K tokens

4K32K128K1M10M

What fits in one request

Short document
About 1,500 words of text
Fits
Long document
About 37K words of text
Fits
Small codebase
About 150K words of text
Fits
Full novel
About 375K words of text
Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window: 262,144 tokens (262K)
Max output tokens: 80,000 tokens (80K)
Speed tier: deep
Provider: Arcee Ai
Release date: Apr 2026

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (4)

Tool use: Can call external tools and APIs; Supported
Function calling: Structured function call interface; Supported
Extended thinking: Shows its chain-of-thought reasoning; Supported
Streaming: Returns tokens as they are generated; Supported

Not supported (4)

Vision: Accepts image inputs alongside text; Not supported
Web search: Can browse the web during a request; Not supported
Batch API: Process many requests asynchronously; Not supported
Prompt caching: Reuse repeated prompt prefixes cheaply; Not supported

Best for

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Reasoning AI agents Long documents RAG

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Frequently asked questions

Short answers about context size and how this model behaves.

Trinity Large Thinking (free) has a context window of 262K tokens (262,144 tokens). This large window is well-suited for long document analysis, extensive codebases, and multi-session agent workflows.

More from Arcee Ai

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Trinity Large Thinking

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