Arcee AI: Trinity Large Thinking

Public pricingIntelligence 79/100Large memoryDeep thinkingTool use

Arcee AI: Trinity Large Thinking is a text model for reasoning, planning, and automation. It combines reliable tool use and agent behavior and deep reasoning and planning with a 262K tokens context window and a low-cost profile. Use it for reasoning, planning, and multi-step automation when quality, speed, and cost matters.

Input

$0.22/1M

Output

$0.85/1M

Cached

$0.06/1M

Batch

$0.11/1M

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What would Trinity Large Thinking cost you?

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Technical specifications

Trinity Large Thinking at a glance.

Memory

262,144

tokens

Max reply

262,144

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Apr 2026

Training cutoff

Dec 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • gpqa_diamond

    76.3

  • aime_2025

    96.3

  • mmlu_pro

    83.4

  • swe_bench_verified

    63.2

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Trinity Large Thinking

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Trinity Large Thinking — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Trinity Large Thinking costs roughly $51 per month. Input is $0.22 /1M tokens and output is $0.85 /1M tokens.
Trinity Large Thinking has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, Trinity Large Thinking supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Trinity Large Thinking was released in April 2026, with training data cut off around December 2025.
Models in a similar class include GPT-5.4 Nano, Grok 4 Fast, Grok 4.1 Fast. The "Similar models" section below this FAQ links into each.

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