Arcee ai

ATrinity Large ThinkingOPEN

Trinity Large Thinking (Arcee ai): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
262K
tokens
Input price
$0.22
per M tokens
Output price
$0.85
per M tokens
Provider
Arcee ai

Prices update automatically — checked hourly against provider list prices.

See model comparisons → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Trinity Large Thinking, measured by Artificial Analysis. Higher is better.

7.6×
More intelligence per dollar than Claude Opus 5 (Fast).
For the same budget, Trinity Large Thinking delivers 7.6 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index18.2
Coding index25.8
GPQA75.2%
Humanity's Last Exam14.7%
Long Context Reasoning33%
SciCode36.1%
IFBench56.3%
τ²-Bench90.1%
τ-Bench Banking5.6%
Terminal-Bench20.6%
Terminal-Bench Hard22.7%
⚡ Speed206.7 tokens/sec
⏱ Latency0.56s to first token
💰 Blended price$0.395 / 1M tokens
📈 Value46.1 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Trinity Large Thinking is an open-weight AI model by Arcee ai. You can download and self-host it for free; the prices below are hosted-API list prices, tracked hourly, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Trinity Large Thinking?

Trinity Large Thinking is an AI language model from Arcee ai. It is open-weight: you can download it and run it on your own hardware, for free. It scores 18.2 on the Artificial Analysis intelligence index.

Is Trinity Large Thinking free?

The weights are free and open — you can self-host Trinity Large Thinking and pay nothing per token. If you prefer a hosted API, list prices are $0.22 per million input tokens and $0.85 per million output tokens.

What is Trinity Large Thinking good at?

Independent benchmarks from Artificial Analysis give it GPQA 75.2%, Humanity's Last Exam 14.7%, Long Context Reasoning 33%, SciCode 36.1%, IFBench 56.3%, τ²-Bench 90.1%, τ-Bench Banking 5.6%, Terminal-Bench 20.6%, Terminal-Bench Hard 22.7%. It is particularly used for code generation.

How fast is Trinity Large Thinking?

It generates about 206.7 tokens per second, with a median 0.56s delay before the first token. Measured independently by Artificial Analysis.

Can I self-host Trinity Large Thinking?

Yes. Trinity Large Thinking has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

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