aion-labs
AionLabs: Aion-3.0
aion-labs/aion-3.0
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to its OpenRouter catalog listing, Aion-3.0 is a text-to-text system from AionLabs described as a multi-model pipeline for roleplaying and storytelling, built on the GLM family, in which several specialized models contribute to each output. The catalog reports a 131,072-token context window, mandatory reasoning, and parameters for tools, structured responses, and sampling. No benchmark results or independent model card were available in this source pack, so real-world performance remains unverified.[1]
Strengths
- The catalog describes a collaborative multi-model generation process specifically designed for roleplaying and storytelling.[1]
- A 131,072-token context window is reported, alongside support for tools, tool choice, response formatting, temperature, and top-p.[1]
- Reasoning is listed as mandatory, which may suit users who want reasoning traces on every response.[1]
Limitations
- Evidence is catalog-only: no independent model card was available in this source pack, so capabilities are source-reported rather than confirmed.[1]
- No benchmark or measured performance data was supplied; validate quality and latency on your own workloads.[1]
- The knowledge cutoff is not reported, and reasoning cannot be disabled according to the catalog.[1]
Where to use it
Sources
- [1] OpenRouter catalog · AionLabs: Aion-3.0Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Aion-3.0 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple specialized models each contribute...
Specifications
- Model ID
- aion-labs/aion-3.0
- Canonical ID
- aion-labs/aion-3.0-20260707
- Creator
- aion-labs
- Added to OpenRouter
- 07.07.2026
- Context length
- 131,072
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $3 / out $6
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: mandatory · parameters: include_reasoning, reasoning |
| Coding | No measurement | — |
| Agents | No measurement | parameters: tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · parameters: include_reasoning, reasoning |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| AionLabs | 131,072 | $3 | $6 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.