Model Cost Profile

Arcee AI: Trinity Large Preview (free)

Developer: arcee-ai

Pricing updated Mar 11, 2026

Input rank: #1Output rank: #1

Live Pricing

Input: $0.0000

Output: $0.0000

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Arcee AI: Trinity Large Preview offers a substantial context window of 131,000 tokens, making it ideal for applications requiring extensive text analysis, such as legal document review or long-form content generation. With zero input and output costs per million tokens, teams can leverage this model for budget-friendly experimentation and development without financial constraints. This model is particularly beneficial for startups and research projects that need to process large datasets while maintaining cost efficiency.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

131,000

Tokens

Input Price / 1M

$0.0000

Prompt tokens

Output Price / 1M

$0.0000

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Arcee AI: Trinity Large Preview (free) Pricing Trend

Input / 1M tokensOutput / 1M tokens
Mar 7 โ€” Mar 11
$0.000000$0.000000$0.000000Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.000000

Current Output / 1M

$0.000000

Cheaper Alternatives to Compare

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FAQ

Common pricing and benchmark questions for Arcee AI: Trinity Large Preview (free).

How much does Arcee AI: Trinity Large Preview (free) cost per 1M input tokens?

Arcee AI: Trinity Large Preview (free) input pricing is $0.0000 per 1M tokens based on the latest synced provider data.

How much does Arcee AI: Trinity Large Preview (free) cost per 1M output tokens?

Arcee AI: Trinity Large Preview (free) output pricing is $0.0000 per 1M tokens based on the latest synced provider data.

What context window does Arcee AI: Trinity Large Preview (free) support?

Arcee AI: Trinity Large Preview (free) supports a context window of 131,000 tokens.

How can I compare Arcee AI: Trinity Large Preview (free) with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.