Venice Role Play Uncensored
venice-role-play-uncensoredvenice-uncensored-role-play- 🎭 Built for immersive roleplay, character interaction, and open-ended creative writing.
- 📏 Handles a 128,000-token context window for long, evolving stories.
- 👁️ Adds vision input alongside function-calling and web-search capabilities.
- 🔒 Offered on Venice's privacy-oriented AI platform.
- 🔧 Served at fp8 quantization for efficient inference.
- 🆕 Released February 2026 on Venice.ai.
- 🌐 Accessible through the Venice API.
- 🎯 Tuned toward narrative and character-driven scenarios rather than general assistance.
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 Role Play Uncensored is a text model offered through Venice.ai, a privacy-oriented platform that hosts uncensored AI models. According to Venice's own description, this model is optimized for creative roleplay, designed for immersive storytelling, character interactions, and open-ended creative writing with maximum freedom.
Feature-wise, it carries a 128,000-token context window and is served at fp8 quantization, and its listed capabilities include vision input, function-calling, and web-search. The large context is useful for roleplay scenarios, where long sessions need to maintain a story's foundations and persona behavior over many turns.
Venice's broader "Uncensored" lineup includes the general-purpose siblings Venice Uncensored 1.2 and Venice Uncensored 1.1, both 24-billion-parameter text models. Those are framed as default conversational models, whereas Role Play Uncensored is tuned specifically toward narrative and character-driven scenarios rather than general assistance.
No independent benchmark results or a published model card with parameter counts were available for this specific model at the time of writing, so its underlying base and parameter count remain unstated in primary sources. Access is available through the Venice platform and the Venice API.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Venice Role Play Uncensored · Organic sellers
Top sellers · Venice Role Play Uncensored · Organic
- Venice.ai Proxy94.4%
- ▲ Apex Ant4.3%
- Surplus-backed seller1.3%
| Seller | Health | Rep↓ | Sales | Tokens | Routing | Input $/M | Cached $/M | Output $/M | Save |
|---|---|---|---|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | — | 81.71 | $0.01 | 55.88k | #1 | $0.25 | $0.25 | $1.00 | −50% |
| OpenCheap 0x0ee1…6c41 | — | 12.43 | — | — | gated | $1.191 | $1.191 | $4.7639 | — |
| surplus-hive 0x6145…5c58 | — | 0.00 | — | — | gated | $1.2153 | $1.2153 | $4.8611 | — |
| Joi Gateway 0x8a90…7007 | — | 0.00 | — | — | gated | $0.2745 | $0.2745 | $1.098 | −45% |
| antseed-neon-puma-944e 0x6650…944e | — | 0.00 | — | — | gated | $0.1705 | $0.1705not advertised | $0.682 | −66% |
| Apex TEE Test 0xe672…7955 | — | 0.00 | — | — | gated | $0.135 | $0.135 | $0.54 | −73% |
| Leftermute 0x388b…5389 | — | 0.00 | — | — | gated | $0.0455 | $0.0455not advertised | $0.1818 | −91% |
| Venice.ai Proxy 0x1f22…18c9 | failingupstream error · 3.7 h | 86.84 | $0.22 | 358.61k | gated | $0.275 | $0.275not advertised | $1.10 | −45% |
"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.