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AionLabs: Aion-2.0

aion-labs/aion-2.0

Released Feb 23, 2026131,072 context
$0.80/M input tokens$1.60/M output tokens

Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and conflict into stories, making narratives feel more engaging. It also handles mature and darker themes with more nuance and depth.

Providers for Aion-2.0

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Aion-2.0

Compare different providers across OpenRouter

Effective Pricing for Aion-2.0

Actual cost per million tokens across providers over the past hour

Apps using Aion-2.0

Top public apps this month

Recent activity on Aion-2.0

Total usage per day on OpenRouter

Prompt
20.9M
Reasoning
3.56M
Completion
1.77M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Aion-2.0

Uptime stats for Aion-2.0 across all providers

Sample code and API for Aion-2.0

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.