Venice: Uncensored
Venice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Venice.ai. This model is designed as an “uncensored” instruct-tuned LLM, preserving...
Anyone in the Project can @-mention Venice: Uncensored with the team's shared context - pooled credits, one chat, one memory.
Starter is free forever - 1 Project, 100 credits/month, 1 MCP. No card.
Verdict
Best for
- Content moderation research and red-teaming
- Generating edgy or controversial creative writing
- Prototyping prompts that trigger standard guardrails
- Low-stakes tasks where speed trumps accuracy
Strengths
Venice Uncensored removes most content policy restrictions, letting you explore prompts that would trigger refusals in GPT-4 or Claude. The 128K context window handles long documents or multi-turn conversations without truncation. Pricing undercuts frontier models by 5-10x, making it viable for high-volume experimentation. Response latency is competitive with other mid-tier models, so you won't wait long for outputs even on complex prompts.
Trade-offs
No public benchmarks means you're flying blind on reasoning, coding, and factual accuracy relative to peers like Llama 3.3 70B or Mistral Large. The lack of safety filters increases risk of harmful or biased outputs, requiring human review for any customer-facing use. Proprietary licensing limits transparency into training data and fine-tuning methods. Early user reports suggest weaker performance on math and structured data extraction compared to similarly priced alternatives.
Specifications
- Provider
- cognitivecomputations
- Category
- llm
- Context length
- 128,000 tokens
- Max output
- 8,192 tokens
- Modalities
- text
- License
- proprietary
- Released
- 2025-07-09
Pricing
- Input
- $0.20/Mtok
- Output
- $0.90/Mtok
- Model ID
cognitivecomputations/dolphin-mistral-24b-venice-edition
Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.
Team cost calculator
5 seats · 80 msgs/day
Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.
Providers
Performance
Benchmarks
Works well with
Top MCPs
Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.
How Switchy teams use it
Starter prompts
Red-Team a Chatbot
Generate 10 adversarial prompts designed to test content moderation systems. Include edge cases around medical advice, financial speculation, and controversial historical events. Format as a numbered list with brief rationale for each.Open in a Project →
Unrestricted Creative Brief
Write a 200-word product description for a fictional energy drink marketed to extreme sports athletes. Use aggressive, boundary-pushing language that emphasizes risk and adrenaline. No corporate safety disclaimers.Open in a Project →
Policy Gap Analysis
Describe how three different AI content policies (permissive, moderate, strict) would respond to a user asking for instructions to build a competitive gaming PC. Highlight where each policy draws the line.Open in a Project →
Unfiltered Brainstorm
Brainstorm 15 unconventional marketing angles for a new dating app targeting Gen Z. Include provocative, humorous, and boundary-pushing concepts. Don't filter for brand safety yet—just generate ideas.Open in a Project →
Sensitive Topic Summary
Summarize the key arguments on both sides of the debate around content moderation on social media platforms. Include perspectives that mainstream models often decline to articulate. Keep it factual and balanced, 300 words.Open in a Project →