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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: arcee_ai_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
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...
trinity-mini is a Text model from Arcee Ai (US). HotON.ai tracks it at $0.05 per 1M input tokens and $0.15 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
trinity-mini is tracked at $0.05 per 1M input tokens and $0.15 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.12 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
trinity-mini supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, trinity-mini is cheaper than 91% of models on input price and ranks #258 of 537 by overall efficiency.
Yes — qwen3-235b-a22b-2507 is a lower-cost option at $0.10 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — trinity-mini (Arcee Ai): $0.05/1M input, $0.15/1M output, as of 2026-05-11. https://hoton.ai/en/models/arcee-ai-trinity-miniPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.