Context Window
131,072
Tokens
Model Cost Profile
AionLabs: Aion-1.0
Developer: aion-labs
Pricing updated Mar 10, 2026
Input rank: #320Output rank: #277
AionLabs' Aion-1.0 model features an extensive context window of 131,072 tokens, making it ideal for applications requiring deep contextual understanding, such as legal document analysis and long-form content generation. Teams utilizing the Aion-1.0 API will incur an input cost of $4.00 per million tokens and an output cost of $8.00 per million tokens, which can significantly impact budgeting for large-scale projects. This model is particularly suited for enterprises that need to process and generate large volumes of text while maintaining coherence and relevance throughout lengthy interactions.
🧠 Reasoning
Input Price / 1M
$4.00
Prompt tokens
Output Price / 1M
$8.00
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $4.00 |
| Output (Completion) | $8.00 |
Price History
AionLabs: Aion-1.0 Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 10
Current Input / 1M
$4.00
Current Output / 1M
$8.00
Cost Calculator
Estimate monthly spend for AionLabs: Aion-1.0 based on your workload.
01.0B
0500M
Estimated Monthly Cost
$196
25M input + 12M output tokens
Cheaper Alternatives to Compare
Quick links for cost-down decisions before production rollout.
FAQ
Common pricing and benchmark questions for AionLabs: Aion-1.0.
How much does AionLabs: Aion-1.0 cost per 1M input tokens?
AionLabs: Aion-1.0 input pricing is $4.00 per 1M tokens based on the latest synced provider data.
How much does AionLabs: Aion-1.0 cost per 1M output tokens?
AionLabs: Aion-1.0 output pricing is $8.00 per 1M tokens based on the latest synced provider data.
What context window does AionLabs: Aion-1.0 support?
AionLabs: Aion-1.0 supports a context window of 131,072 tokens.
How can I compare AionLabs: Aion-1.0 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.