Arcee AI: Trinity Large Thinking

Public pricingIntelligence 79/100Large memoryRéflexion approfondieOutils

Arcee AI: Trinity Large Thinking est un modèle texte conçu pour raisonnement, planification et automatisation. Il associe une utilisation fiable des outils et des agents et un raisonnement et une planification poussés, un contexte de 262K tokens et un profil à faible coût pour un travail fiable sur reasoning, planning, and multi-step automation.

Input

$0.22/1M

Output

$0.85/1M

Cached

$0.06/1M

Batch

$0.11/1M

Calculate your Trinity Large Thinking bill.

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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.

  • aime_2025

    96.3

  • gpqa_diamond

    76.3

  • 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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