Arcee AI: Trinity Large Thinking

Arcee AI: Trinity Large Thinking

arcee-ai · Released Apr 1, 2026
Intelligence #137 / 743
48.6 our score
Speed #10 / 327
311.3 tok/s
Input Price #359 / 748
$0.250 per 1M tokens
Output Price #356 / 748
$0.800 per 1M tokens
Context #212 / 748
262,144 tokens

Analysis Summary

Arcee AI Trinity Large Thinking is a benchmarked, low-cost reasoning model with a 262K context window and support for tool use and function calling. Its coding and instruction-following results are serviceable for assisted development, structured writing, and analytical prompts. The low input and output prices make experimentation and high-volume use affordable.

The model is best suited to drafting, transformation, summarisation, and coding support with clear prompts and review. Its low general intelligence and particularly weak agentic result make it a poor choice for autonomous agents, complex planning, or high-stakes client recommendations. Long-context capability is present, but the available long-context result does not indicate dependable performance across demanding documents.

Use Trinity Large Thinking for constrained, cost-sensitive workloads. Keep a stronger model responsible for final answers, tool orchestration, and strategic analysis.

Assessed August 23, 2026

Editorial notes

Trinity Large Thinking provides low-cost reasoning, useful coding and instruction following, and a 262K context, but its very weak agentic performance limits independent production automation.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

DFO Verdict

Trinity Large Thinking provides low-cost reasoning, useful coding and instruction following, and a 262K context, but its very weak agentic performance limits independent production automation.

#137 of 743 overall Down 3 this week

Benchmark scores

GPQA Diamond 75.2%
HLE 14.7%
SciCode 36.1%
TerminalBench Hard 22.7%
τ²-Bench 90.1%
IFBench 56.3%
LCR 33%

Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.

18.7 Intelligence Index·25.8 Coding Index·3.7 Agentic Index

How Arcee AI: Trinity Large Thinking compares

Arcee AI: Trinity Large Thinking ranks #194 of 433 AI models we track for overall intelligence, #125 of 206 for coding, #141 of 188 for agentic tasks. Its 262K-token context window is larger than 72% of the models we list. At $0.25 per million input tokens it is cheaper than 52% of comparable models.

Position in the field
Intelligence: smarter than 82% of models #137
Speed: faster than 97% of models #10
Price: cheaper than 52% of models #359
Context: larger than 72% of models #212
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Arcee AI: Trinity Large Thinking $0.25 in $0.80 out
Claude Opus 5 $5.00 in $25.00 out
OpenAI: GPT-5.6 Sol $2.00 in $10.00 out
SpaceXAI: Grok 4.6 $2.00 in $6.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens
Arcee AI: Trinity Large Thinking 262K

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence3.4Technical2.6Value8Content6.2
Performance profile

Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.

Compare shapes side-by-side →

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.25 $0.000250
Output $0.80 $0.000800

What would Arcee AI: Trinity Large Thinking cost your business?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0/mo Arcee AI: Trinity Large Thinking

Full calculator with 748 models → Price Calculator

DFO AI AUTOMATION

These numbers get smaller with the right architecture.

We route routine calls to cheap models and save Arcee AI: Trinity Large Thinking for the hard ones. Most clients cut their estimate by 60-80%.

Talk to our team

About Arcee AI: Trinity Large Thinking

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..

Frequently asked questions about Arcee AI: Trinity Large Thinking

How much does Arcee AI: Trinity Large Thinking cost?

Arcee AI: Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens.

What is the context window of Arcee AI: Trinity Large Thinking?

Arcee AI: Trinity Large Thinking has a context window of 262,144 tokens (262K).

Is Arcee AI: Trinity Large Thinking good for coding?

On our coding benchmark index, Arcee AI: Trinity Large Thinking ranks #125 of 206 models, placing it in the broader range of the field for code generation and debugging.

What can Arcee AI: Trinity Large Thinking do?

Arcee AI: Trinity Large Thinking supports tool use and function calling.

Who created Arcee AI: Trinity Large Thinking?

Arcee AI: Trinity Large Thinking is developed by Arcee AI and was released on April 1, 2026.

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