Model Cost Profile

AionLabs: Aion-1.0-Mini

Developer: aion-labs

Pricing updated Mar 10, 2026

Input rank: #226Output rank: #200

Live Pricing

Input: $0.7000

Output: $1.40

Pricing via OpenRouter API ยท Last synced Mar 10, 2026

AionLabs' Aion-1.0-Mini model features an extensive context window of 131,072 tokens, making it suitable for applications requiring deep contextual understanding, such as long-form content generation and complex data analysis. With an input price of $0.70 per million tokens and an output price of $1.40 per million tokens, teams can effectively manage costs while leveraging the model for tasks like automated reporting and customer support automation. This pricing structure allows organizations to scale their usage based on specific project needs, optimizing both budget and performance.

๐Ÿง  Reasoning

Context Window

131,072

Tokens

Input Price / 1M

$0.7000

Prompt tokens

Output Price / 1M

$1.40

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

AionLabs: Aion-1.0-Mini Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 10
$0.7000$1.05$1.40Mar 7Mar 8Mar 9Mar 10

Current Input / 1M

$0.7000

Current Output / 1M

$1.40

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for AionLabs: Aion-1.0-Mini.

How much does AionLabs: Aion-1.0-Mini cost per 1M input tokens?

AionLabs: Aion-1.0-Mini input pricing is $0.7000 per 1M tokens based on the latest synced provider data.

How much does AionLabs: Aion-1.0-Mini cost per 1M output tokens?

AionLabs: Aion-1.0-Mini output pricing is $1.40 per 1M tokens based on the latest synced provider data.

What context window does AionLabs: Aion-1.0-Mini support?

AionLabs: Aion-1.0-Mini supports a context window of 131,072 tokens.

How can I compare AionLabs: Aion-1.0-Mini with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.