LLMaion-labs

AionLabs: Aion-3.0-Mini

Aion-3.0 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the DeepSeek family of models. It uses a collaborative generation process in which multiple specialized models each...

Anyone in the Project can @-mention AionLabs: Aion-3.0-Mini with the team's shared context - pooled credits, one chat, one memory.

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Starter is free forever - 1 Project, 100 credits/month, 1 MCP. No card.

Verdict

Aion-3.0-Mini targets cost-conscious teams needing a large context window without premium pricing. At $0.70/$1.40 per Mtok with 131K tokens of context, it undercuts many competitors on price while handling moderately long documents. The trade-off: no public benchmarks yet, so quality relative to established mini models remains unproven. Reach for this when budget matters more than battle-tested performance, especially for high-volume document processing where context length justifies the risk.

Best for

Budget-constrained document analysis workflows
High-volume summarization at scale
Prototyping with long-context inputs
Cost-sensitive customer support automation

Strengths

The 131K context window at sub-$1 input pricing creates a compelling value proposition for teams processing lengthy documents without enterprise budgets. This combination lets you handle full research papers, legal contracts, or support ticket histories in a single call while keeping inference costs predictable. The mini designation suggests optimized inference speed, likely making it suitable for latency-sensitive applications where you need quick turnarounds on moderately complex tasks.

Trade-offs

The absence of public benchmarks means you're flying blind on reasoning quality, instruction-following accuracy, and how it stacks up against established options like GPT-4o-mini or Claude Haiku. AionLabs lacks the track record of major providers, so expect less community support, fewer integration examples, and uncertainty around edge-case behavior. The proprietary license limits transparency into training data and model architecture, which may concern teams with strict compliance requirements.

Specifications

Provider: aion-labs
Category: llm
Context length: 131,072 tokens
Max output: 32,768 tokens
Modalities: text
License: proprietary
Released: 2026-07-07

Pricing

Input: $0.70/Mtok
Output: $1.40/Mtok
Model ID: aion-labs/aion-3.0-mini

Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.

Team cost calculator

Seats5 peopleMessages / seat / day80Avg turn size2 ktokOutput share30 %

Estimated monthly spend

$16.02

17.6M tokens / month
5 seats · 80 msgs/day

Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.

Providers

Provider-level routing data is not available yet for this model.

Performance

Performance snapshots are collected daily. Check back after the next ingestion run.

Benchmarks

Public benchmark scores are not available yet for this model. Check back after the next ingestion run.

Works well with

Top MCPs

Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.

How Switchy teams use it

Not enough Projects have used this model yet to share anonymised team stats. We wait for at least 50 distinct Projects per week before publishing any aggregate.

Starter prompts

Summarize Long Contract

Read this contract in full and provide a structured summary covering: parties involved, key obligations, payment terms, termination clauses, and any unusual provisions. Use bullet points for clarity.

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Analyze Research Paper

Summarize this research paper's methodology, key findings, and limitations. Then identify three practical applications of this work and two open questions for future research.

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Triage Support Tickets

Review this support ticket thread and provide: severity level (low/medium/high), primary issue category, customer sentiment, and a one-sentence recommended next action for the support team.

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Extract Meeting Action Items

Read this meeting transcript and list all action items with assigned owners and deadlines. Also note any unresolved decisions that need follow-up. Format as a numbered list.

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Compare Product Specs

Compare these three product specification documents across: feature completeness, technical requirements, pricing structure, and implementation complexity. Highlight the best option for a mid-sized SaaS team.

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