- 🎨 DeepSeek V3.2 fine-tune for immersive roleplay and storytelling
- 📏 128K-token context for long-form narratives
- 🧠 Reasoning-capable with web search built in
- 🎯 Excels at tension, conflict, and darker mature themes
- 🧪 Available as an early alpha — feedback shapes it
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 2.0 is a DeepSeek V3.2-based model fine-tuned by Aion Labs for immersive roleplaying and long-form storytelling. Where general-purpose chat models tend to flatten narratives, Aion 2.0 is tuned to inject tension, crises, and meaningful conflict — keeping plots unpredictable and characters engaged — and it handles mature and darker themes with nuance rather than sanitized, surface-level treatment.
Released in March 2026 as an early alpha, it carries a 128K-token context window that suits extended scenes, persistent character arcs, and sprawling multi-session stories. It also supports reasoning and web search, letting it ground or enrich narrative detail when needed. As an alpha, its behavior is still evolving, and user feedback actively informs its development.
This is a purpose-built creative-writing companion rather than a coding or analytical workhorse. Choose Aion 2.0 when you want a collaborator for interactive fiction, character roleplay, or dramatic long-form prose that won't shy away from conflict or complexity — and accept the rougher edges that come with alpha-stage software.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Aion 2.0 · Organic sellers
| Seller | Rep↓ | Sales | Tokens | Routing | Input $/M | Cached $/M | Output $/M | Save |
|---|---|---|---|---|---|---|---|---|
| OpenCheap 0x0ee1…6c41 | 12.43 | — | — | gated | $2.3819 | $2.3819 | $4.7639 | — |
| surplus-hive 0x6145…5c58 | 0.00 | — | — | gated | $2.4306 | $2.4306 | $4.8611 | — |
| Apex TEE Test 0xe672…7955 | 0.00 | — | — | gated | $0.96 | $0.24 | $1.92 | — |
| antseed-neon-puma-944e 0x6650…944e | 0.00 | — | — | gated | $0.341 | $0.25 | $0.682 | −57% |
| Meridian AI 0x8c8c…06f5 | 0.00 | — | — | gated | $0.27 | $0.27not advertised | $0.54 | −66% |
| Leftermute 0x388b…5389 | 0.00 | — | — | gated | $0.202 | $0.202not advertised | $0.404 | −75% |
"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.