Arcee AI: Trinity Mini
Analysis Summary
Arcee AI's Trinity Mini is a compact text model with a 131K context window, tool use, and function calling. The available data supports a practical integration profile, but no reasoning, coding, instruction-following, or long-context benchmark results are supplied for this variant.
That makes it suitable for low-risk routing, extraction, lightweight customer-service flows, and structured automation where tool connectivity matters more than complex reasoning. Teams should validate response quality, schema adherence, and failure recovery before assigning it client-facing work. The low input and output prices support experimentation and volume use, while the absence of measured capability data limits confidence. Adopt it as a budget tool-enabled component, not as a primary content, coding, or agentic model.
Assessed August 9, 2026
Editorial notes
Trinity Mini offers a 131K context window with tool use and function calling at low token prices. It has no supplied benchmark evidence, so its production role should remain limited to contained automation tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Trinity Mini offers a 131K context window with tool use and function calling at low token prices. It has no supplied benchmark evidence, so its production role should remain limited to contained automation tasks.
How Arcee AI: Trinity Mini compares
Its 131K-token context window is larger than 49% of the models we list. At $0.05 per million input tokens it is cheaper than 77% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
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 | $0.05 | $0.000045 |
| Output | $0.15 | $0.000150 |
What would Arcee AI: Trinity Mini 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.
Full calculator with 751 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Arcee AI: Trinity Mini for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
Frequently asked questions about Arcee AI: Trinity Mini
How much does Arcee AI: Trinity Mini cost?
Arcee AI: Trinity Mini costs $0.05 per million input tokens and $0.15 per million output tokens.
What is the context window of Arcee AI: Trinity Mini?
Arcee AI: Trinity Mini has a context window of 131,072 tokens (131K).
What can Arcee AI: Trinity Mini do?
Arcee AI: Trinity Mini supports tool use and function calling.
Who created Arcee AI: Trinity Mini?
Arcee AI: Trinity Mini is developed by Arcee AI and was released on December 1, 2025.