Trinity Mini

Trinity Mini by arcee-ai excels in the Coding category, where it ranks #90 with a composite score of 53/100. 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 calling and multi-step agent workflows. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Trinity Mini is priced at $0.04 per million input tokens and $0.15 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Trinity Mini holds rank #90 out of 6 models tracked. Its quality rank is #90 and adoption rank is #90. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Trinity Mini has been evaluated across 6 different signals. Its strongest areas include Capabilities (57/100), Context Window (81/100), Output Capacity (85/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 53/100 reflects a weighted combination of all tracked signals.

Trinity Mini is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check arcee-ai's website for current free tier availability and promotional offers.