Arcee AI: Trinity Large Thinking

Public pricingIntelligence 79/100Large memoryगहरी सोचटूल उपयोग

Arcee AI: Trinity Large Thinking एक टेक्स्ट मॉडल है, जिसे तर्क, योजना और स्वचालन के लिए बनाया गया है। यह विश्वसनीय tool use और agent behavior، गहरी तर्कशक्ति और योजना, 262K tokens का context और कम लागत profile जोड़कर reasoning, planning, and multi-step automation में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो,

Input

$0.22/1M

Output

$0.85/1M

Cached

$0.06/1M

Batch

$0.11/1M

Calculate your Trinity Large Thinking bill.

Set your workload — see cost at your exact volume.

What would Trinity Large Thinking cost you?

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1,00010,00050,000250,0001M10M

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.

Still unsure?

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