Aion 3.0 Mini
AionLabs' multi-model collaborative text system built on DeepSeek, tuned for immersive roleplay and storytelling with reasoning and tool support.
Overview
What is Aion 3.0 Mini
Aion 3.0 Mini is AionLabs' multi-model collaborative text generation system released in July 2026. Built on the DeepSeek family of models, it uses multiple specialized models working together to produce stronger narrative structure, tension, and conflict for roleplay and storytelling. It supports reasoning, function calling, and web search via a 128K context window.
Running it privately on Venice
Run Aion 3.0 Mini on Venice with zero retention — your prompts are anonymized and not stored or used for training. You get tool use, reasoning, and web search capabilities on a privacy-first platform without Big-Tech surveillance, though the model itself is proprietary and not open-source.
Assessment
Strengths and limitations
- Collaborative multi-model architecture built on DeepSeek and marketed specifically for immersive roleplay, storytelling, and nuanced mature themes.
- Supports reasoning, function calling, web search, and structured JSON output for interactive and grounded fiction workflows.
- 128K context window and 32K max output allow long-form narrative arcs and detailed worldbuilding in a single thread.
- Lower per-token cost on Venice than many frontier proprietary rivals, with competitive cached-input pricing.
- Structured output support enables programmatic integration of generated story content and agentic pipelines.
- Proprietary closed weights: cannot be self-hosted, fine-tuned, or audited.
- No published benchmark scores yet to independently verify narrative-quality claims against single-model competitors.
- Not open-source or uncensored, so users seeking fully sovereign or unfiltered generation should consider open-weights alternatives.
- Exact parameter count and internal model topology have not been disclosed by AionLabs.
- 128K context is smaller than several Venice-hosted rivals, including Kimi K2.6 and Google Gemma 4 31B Instruct.
Capabilities
What it supports
- Tool use / function calling
- Vision (image input)
- Reasoning
- Web search
- Code-optimized
- Structured output (JSON schema)
- Audio input
- Video input
- Multiple image inputs
- Log probabilities
Specifications
Datasheet
- Maker
- AionLabs
- Released
- July 7, 2026
- Modality
- Text
- Architecture
- Multi-model collaborative system (DeepSeek-based)
- Open weights
- No — proprietary
- Context window
- 128K tokens
- Max output
- 32.768K tokens
- Capabilities
- Function calling, Reasoning, Web search
- Privacy on Venice
- Anonymized — prompts not stored
- Available on Venice since
- Jul 2026
API
Call it from your code
Venice exposes an OpenAI-compatible API. Point your base URL at Venice and pass the model id.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "aion-labs-aion-3-0-mini",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Pricing
What it costs on Venice
Billed per token on Venice: $0.88 per 1M input tokens and $1.75 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
Alternatives
How it compares
| Model | Context window | Strongest at | Open weights | Price (Venice) |
|---|---|---|---|---|
| Aion 3.0 Mini | 128K tokens | Roleplay & storytelling | No | $0.88 in · $1.75 out / 1M |
| DeepSeek V3.2 | 160K tokens | General reasoning & coding | Yes | $0.33 in · $0.48 out / 1M |
| Kimi K2.6 | 256K tokens | Long-context analysis | Yes | $0.75 in · $3.50 out / 1M |
| Claude Sonnet 4.6 | 1M tokens | Instruction following & safety | No | $3.60 in · $18 out / 1M |
Collaborative multi-model system tuned for narrative tension and immersive roleplay.
Use cases
What it is good for
- 01Interactive fiction and AI roleplay with long memory and narrative consistency.
- 02Collaborative storytelling and worldbuilding for games, novels, and scripts.
- 03Character-driven dialogue generation with nuanced mature themes.
- 04Research-assisted creative writing via web search grounding.
- 05Automated content pipelines using structured output and function calling.
Prompting
Getting better results
Frame prompts as scenes or narrative beats to leverage the collaborative generation structure.
Use the 128K context to maintain character bibles, setting documents, and plot outlines in the same thread.
Explicitly request tension or conflict when you want dramatic escalation — the system is tuned for it.
Enable web search for grounded fiction that references real-world events, locations, or technologies.
Version history
Earlier Mini variant; 32B parameters per third-party reference.
Current — multi-model collaborative storytelling system.
FAQ
Frequently asked questions
Aion 3.0 Mini is AionLabs' multi-model collaborative text generation system released in July 2026. Built on the DeepSeek family of models, it specializes in immersive roleplay and storytelling through a collaborative generation process that produces stronger narrative structure and tension.
On Venice, Aion 3.0 Mini is billed at $0.88 per 1 million input tokens and $1.75 per 1 million output tokens, with cached input priced at $0.23 per 1 million tokens. There is no subscription required.
You can try it on Venice using the platform's free credit allowance or pay-as-you-go token pricing. It is not a free model to self-host.
No. Aion 3.0 Mini is proprietary closed-source software. Its weights are not available for download, and it cannot be self-hosted or fine-tuned. If you need open-source alternatives, DeepSeek V3.2 or Kimi K2.6 are open-weights options on Venice.
Yes. On Venice, Aion 3.0 Mini supports function calling, reasoning, web search, and structured JSON output, making it suitable for interactive agents and grounded storytelling workflows.
Choose Aion 3.0 Mini for collaborative narrative generation and roleplay tuned for tension and conflict. Choose DeepSeek V3.2 for general reasoning, coding, or if you need fully open weights and lower API costs.
Venice runs Aion 3.0 Mini under an anonymized privacy tier with zero retention — your prompts are not stored, profiled, or used for model training. However, it does not run inside a TEE or use end-to-end encryption.
Venice hosts Aion 3.0 Mini with a 128K token context window and a maximum output of 32,768 tokens per generation, sufficient for long-form stories and detailed roleplay sessions.
Run Aion 3.0 Mini privately
No prompt logging. No data used for training.