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Blended $/1M across tracked versions of this line.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: aion_labs_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Aion Labs lists Aion 2.0 as a DeepSeek V3.2 based 128K model for immersive writing and production text workloads.
aion-2.0-api is a Text model from Aion Labs (US). HotON.ai tracks it at $0.80 per 1M input tokens and $1.60 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.002 per successful task.
aion-2.0-api is tracked at $0.80 per 1M input tokens and $1.60 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.40 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.
aion-2.0-api 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, aion-2.0-api is cheaper than 35% of models on input price and ranks #132 of 535 by overall efficiency.
Yes — minimax-m2.7 is a lower-cost option at $1.20 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — aion-2.0-api (Aion Labs): $0.80/1M input, $1.60/1M output, as of 2026-05-11. https://hoton.ai/en/models/aion-labs-aion-2-0-apiPricing 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.