Context Window
131,072
Tokens
Model Cost Profile
AionLabs: Aion-2.0
Developer: aion-labs
Pricing updated Mar 10, 2026
Input rank: #232Output rank: #208
AionLabs' Aion-2.0 model features an extensive context window of 131072 tokens, making it ideal for applications requiring deep contextual understanding, such as legal document analysis and long-form content generation. With an input price of $0.80 per million tokens and an output price of $1.60 per million tokens, teams can effectively manage their budget while leveraging the model for complex tasks. This pricing structure allows organizations to scale their usage according to project demands, optimizing costs for high-volume text processing.
🧠 Reasoning
Input Price / 1M
$0.8000
Prompt tokens
Output Price / 1M
$1.60
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.8000 |
| Output (Completion) | $1.60 |
Price History
AionLabs: Aion-2.0 Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 10
Current Input / 1M
$0.8000
Current Output / 1M
$1.60
Cost Calculator
Estimate monthly spend for AionLabs: Aion-2.0 based on your workload.
01.0B
0500M
Estimated Monthly Cost
$39
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-2.0.
How much does AionLabs: Aion-2.0 cost per 1M input tokens?
AionLabs: Aion-2.0 input pricing is $0.8000 per 1M tokens based on the latest synced provider data.
How much does AionLabs: Aion-2.0 cost per 1M output tokens?
AionLabs: Aion-2.0 output pricing is $1.60 per 1M tokens based on the latest synced provider data.
What context window does AionLabs: Aion-2.0 support?
AionLabs: Aion-2.0 supports a context window of 131,072 tokens.
How can I compare AionLabs: Aion-2.0 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.