Aion 3.0
aion-3-0aion-3.0aion-labs-aion-3-0- 🧠 Multi-model roleplay and storytelling system from Aion Labs.
- 🆕 Built on the GLM model family.
- 🎯 Specialized models collaborate per response for stronger narrative structure.
- 💬 Handles mature and darker themes with nuance.
- 📏 Context window of 128K tokens.
- 🔧 Supports tool calling for interactive fiction.
- 🌐 Adds reasoning and web-search capabilities.
Aion Labs is an Israeli venture studio working at the intersection of artificial intelligence and pharmaceutical research. The group focuses on applying machine learning to drug discovery and development, partnering with scientific and industry collaborators to translate AI…
Explore 4 more models by AION Labs →Aion 3.0 is a multi-model roleplaying and storytelling system from Aion Labs. Rather than relying on a single network, it uses a collaborative generation process in which several specialized models each contribute to a response, aiming for stronger narrative structure and more compelling tension and conflict. It targets immersive interactive fiction, handling mature and darker themes with nuance, and supports tool calling alongside reasoning and web-search capabilities. It exposes a 128K-token context window suitable for long-form creative sessions.
According to the catalog description, Aion 3.0 is built on the GLM family of models, while retaining the storytelling focus and multi-model collaborative approach that characterize the family. It is the successor to its same-family predecessor, Aion 2.0, released earlier in 2026.
Aion 3.0 launched alongside a lighter sibling, Aion 3.0 Mini, which shares the same collaborative generation method. Together they represent Aion Labs' mid-2026 generation of narrative-focused systems.
Independent benchmark figures for Aion 3.0 were not available from primary or top-evaluator sources at the time of writing, so this description is limited to documented features rather than performance claims.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Aion 3.0 · Organic sellers
| Seller | Health | Rep↓ | Sales | Tokens | Routing | Input $/M | Cached $/M | Output $/M | Save |
|---|---|---|---|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | healthy | 81.71 | $0.30 | 407.10k | #1 | $1.875 | $0.47 | $3.75 | −38% |
| OpenCheap 0x0ee1…6c41 | — | 12.43 | $0.06 | 34.85k | gated | $1.8516 | $0.4629 | $3.7032 | −38% |
| surplus-hive 0x6145…5c58 | — | 0.00 | — | — | gated | $9.1146 | $9.1146 | $18.2292 | — |
| Joi Gateway 0x8a90…7007 | — | 0.00 | — | — | gated | $1.83 | $1.83 | $3.66 | −39% |
"Best price" and the seller table are live Antseed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the Antseed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on Antseed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.