Arcee AI: Trinity Mini

Public pricingIntelligence 79/100Medium memoryTool-Nutzung

Arcee AI: Trinity Mini ist ein Text-Modell für Schlussfolgern und Problemlösen. Es verbindet tiefes Schlussfolgern und Planen und geringe Latenz und effiziente Inferenz, einen Kontext von 131K tokens und ein kostengünstig-Profil für zuverlässige Arbeit über reasoning, analysis, and hard problem solving.

Input

$0.04/1M

Output

$0.15/1M

Cached

$0.00/1M

Batch

$0.02/1M

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Technical specifications

Trinity Mini at a glance.

Memory

131,072

tokens

Max reply

131,072

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Jan 2026

Training cutoff

Oct 2025

Availability

Public pricing

Status

active

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 Mini

  • Agentic workflows that call tools or APIs.
  • 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 Mini — 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 Mini costs roughly $9 per month. Input is $0.04 /1M tokens and output is $0.15 /1M tokens.
Trinity Mini has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Trinity Mini supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Trinity Mini was released in January 2026, with training data cut off around October 2025.
Models in a similar class include Trinity Large Preview, Spotlight, Trinity Large Thinking. The "Similar models" section below this FAQ links into each.

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