arcee-aimodel

Arcee AI: Trinity Mini

Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long contexts (131k) with robust function...

text reasoning cheap long-context

Best for

Complex ReasoningMath & LogicResearchBulk Data Extraction

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Context Window

131K tokens ≈ 291 pages of text

Input Cost

$0.04/1M

Output Cost

$0.15/1M

Latency p50

250ms

Pricing Details

Standard Pricing

Input (per 1M tokens)

$0.04

Output (per 1M tokens)

$0.15

Run it locally

Local run command

# Refer to provider docs:

Presumptive Specs:

Typical GPU

12–24 GB VRAM

System RAM

16+ GB

Disk

20+ GB free

Runtime

Docker / local runtime

Hallucination Score™ (est.)

Community reliability estimate · not official

—

Not yet rated

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

Price History

Not enough historical data yet. Check back after the next pricing sync.

Provider

arcee-ai

Usage & Examples

Learn how to use Arcee AI: Trinity Mini

✓Complex reasoning and analysis

✓Customer support automation

✓Content generation and editing

✓Code review and debugging

✓Research summarization

💡 Tip: Start with the sample prompts above to see how Arcee AI: Trinity Mini works best.

Community Prompts

Proven prompts shared by the community for this model

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