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.
Modalities
Input Price
$0.80per 1M
Output Price
$1.60per 1M
Context
131K
Weekly Tokens
7.9B
Released
Feb 23, 2026
Sample code and API for Aion-2.0
OpenRouter normalizes requests and responses across providers for you.
1
Get your API key
Create an API key from your OpenRouter dashboard and set it as an environment variable:
2
Make your first request
Use aion-labs/aion-2.0 with the OpenRouter API:
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.
3
Enable streaming
Add "stream": true to your request body to receive responses as server-sent events:
Endpoint
POSThttps://openrouter.ai/api/v1/chat/completions
AuthorizationBearer $OPENROUTER_API_KEY
Content-Typeapplication/json
HTTP-Refereroptional — your site URL, for rankings
X-Titleoptional — your site name, for rankings
Modelaion-labs/aion-2.0
Parameters
Name
Type
Default
Description
reasoning
map
—
Controls reasoning behavior for models that support thinking tokens, including whether reasoning is enabled, the reasoning effort, maximum reasoning tokens, and whether reasoning is excluded from the response.
max_tokens
integer
—
This sets the upper limit for the number of tokens the model can generate in response.
temperature
float
1
This setting influences the variety in the model's responses.
top_p
float
1
This setting limits the model's choices to a percentage of likely tokens: only the top tokens whose probabilities add up to P.