Venice Uncensored 1.2
venice-uncensored-1-2venice-uncensored-1.2- 🆕 Venice's newest uncensored 24B model, succeeding 1.1.
- 📏 128K-token context window, fp16 precision.
- 🔧 Catalog lists vision, function-calling, and web-search capabilities.
- 🎯 Built for roleplay, open-ended exploration, unfiltered dialogue.
- 🔒 Carries Venice's "most uncensored" trait designation.
- 📚 Apache-2.0 licensed, 24B parameters.
- 💬 Provider notes improved capabilities over version 1.1.
- 🌐 Released 2026 within the Venice Uncensored line.
Venice is a privacy-focused AI platform that develops its own in-house models alongside hosting third-party offerings. The organization emphasizes uncensored, unrestricted text generation as a core design principle, building models specifically tuned to minimize refusals and…
Explore 3 more models by Venice →Venice Uncensored 1.2 is the newest entry in Venice.ai's uncensored text-model line, designed for "maximum creative freedom and authentic interaction" and aimed at open-ended exploration, roleplay, and unfiltered dialogue. The 1.2 release is a 24-billion-parameter model distributed under the Apache-2.0 license, with a 128K-token context window served at fp16 precision, and it carries the catalog's "most uncensored" trait.
Compared with its direct predecessor [[sibling:e2ee-venice-uncensored-24b-p|Venice Uncensored 1.1]], also a 24B model released earlier in 2026, version 1.2 is described by the provider as offering "improved capabilities over 1.1." The catalog metadata further lists vision, function-calling, and web-search among 1.2's capabilities, extending it beyond plain text generation.
It also sits alongside [[sibling:venice-uncensored-role-play|Venice Role Play Uncensored]], an earlier sibling described as optimized for immersive storytelling, character interactions, and creative writing. These uncensored models are positioned for users building custom characters and sustaining in-character roleplay without generic content warnings.
No independently verified benchmark figures for Venice Uncensored 1.2 were available from primary or top-evaluator sources at the time of writing, so this description stays limited to documented catalog 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.
| Seller | Reputation↓ | Routing | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | 99 | gated | $0.10 | $0.10 | $0.45 | chat,vision,multimodal,web-search,uncensored | openai-chat-completions |
| ▲ Apex Ant 0x73b4…e736 | 83 | #1 | $0.09 | $0.0241 | $0.405 | chat | openai-chat-completions |
| surplusintelligence.ai 0x0e49…8927 | 68 | gated | $0.06 | $0.06 | $0.27 | agents,anon,chat,cheap,function-calling,multimodal,research,tasks,tools,uncensored,vision,web-search | openai-chat-completions |
| D5V1N2 0xd5e7…7be0 | 26 | gated | $0.07 | $0.055 | $0.35 | chat,uncensored,creative,router,fallback | openai-chat-completions |
| antseed-neon-puma-944e 0x6650…944e | 3 | gated | $0.0682 | $0.0682 | $0.3069 | chat | openai-chat-completions |
| antseed-opal-badger-2580 0xc85d…2580 | 2 | gated | $0.10 | $0.10 | $0.45 | chat | openai-chat-completions |
| Apex TEE Test 0xe672…7955 | 0 | gated | $0.09 | $0.09 | $0.405 | chat | openai-chat-completions |
| Leftermute 0x388b…5389 | 0 | gated | $0.0404 | $0.0404 | $0.1818 | chat,coding,json | openai-chat-completions |
"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 = on-chain trust (0-100). "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.