Venice Uncensored API

cognitivecomputations/dolphin-mistral-24b-venice-edition
An uncensored, instruction-tuned chat model built on Mistral 24B by Cognitive Computations with Venice.ai — no built-in content refusals.
Context
128K tokens
Input
$0.27508 / 1M tokens
Output
$1.23786 / 1M tokens

Overview

What Is Venice Uncensored API?

Dolphin Mistral 24B Venice Edition is described as a collaborative project with Venice.ai aimed at creating the most uncensored version of Mistral 24B for use within the Venice ecosystem. It is also described as live on Venice as “Venice Uncensored,” the new default model for Venice users.

Technical Reference

DeveloperVenice
Model IDcognitivecomputations/dolphin-mistral-24b-venice-edition
Context Window128,000 tokens (~128K)
ModalitiesImage, Text → Text
Capabilitiesfile input, parallel tool calls, reasoning, streaming, structured (JSON schema) output, tool/function calling, vision, web search

What Venice Uncensored Brings to the Table

Collaborative project
The model is presented as a collaboration with Venice.ai.

Uncensored positioning
It is described as the most uncensored version of Mistral 24B for use within the Venice ecosystem.

Venice product name
On Venice, it is shown as “Venice Uncensored.”

Default model on Venice
The model is described as the new default model for all Venice users.

API Pricing

  • Input: $0.26 / 1M tokens
  • Output: $1.17 / 1M tokens

Where Venice Uncensored Makes the Most Sense

Use within Venice ecosystem
The model is intended for use within the Venice ecosystem.

Default chat model on Venice
It is described as the default model for Venice users, indicating general conversational use on the platform.

Venice Uncensored vs the Alternatives

Mistral 24B
The model is described as a version of Mistral 24B.

Sources: https://huggingface.co/dphn/Dolphin-Mistral-24B-Venice-Edition · https://venice.ai/blog/introducing-dolphin-mistral-24b-venice-edition-the-most-uncensored-ai-model-yet · https://developer.puter.com/ai/cognitivecomputations/dolphin-mistral-24b-venice-edition/

Uptime and performance

  • Uptime (24h): 100%
  • Uptime (7d): 100%
  • Availability (24h): 75.0%
  • Error rate (24h): 25.0%
  • End-to-end latency (24h median): 3.7s
  • Time to first token (24h median): 802ms
  • Throughput (24h median): 126.7 tok/s

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

Creative writing and screenwriting requiring unfiltered character dialogue, conflict, or mature themes.

Academic and historical research into sensitive, controversial, or taboo topics without system refusals.

Roleplay and interactive storytelling where the user defines the exact boundaries and character alignments.

Drafting complex arguments or exploring philosophical dilemmas from multiple, non-standard perspectives.

How to use Venice Uncensored API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to cognitivecomputations/dolphin-mistral-24b-venice-edition.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "cognitivecomputations/dolphin-mistral-24b-venice-edition",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "cognitivecomputations/dolphin-mistral-24b-venice-edition",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"cognitivecomputations/dolphin-mistral-24b-venice-edition","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Venice Uncensored API Pricing

TypePrice
Input
$0.27508 / 1M tokens
Output
$1.23786 / 1M tokens

Free access is listed for `cognitivecomputations/dolphin-mistral-24b-venice-edition:free`, but the exact model itself is documented as paid at $0.20 per 1M input

Venice Uncensored vs other models

ModelInputOutputContextBest for
$0.27508 / 1M tokens
$1.23786 / 1M tokens
128K tokens
Agentic workflows and structured output
$0.34385 / 1M tokens
$1.03155 / 1M tokens
128K tokens
Reasoning + agents

Frequently asked questions

Venice Uncensored has a 128,000 tokens context window.

Venice Uncensored takes image, text as input and returns text.

Use cognitivecomputations/dolphin-mistral-24b-venice-edition as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

Venice Uncensored is priced at input $0.27508 / 1M tokens, output $1.23786 / 1M tokens.

Yes, Venice Uncensored can stream responses as they are generated.

Yes, Venice Uncensored accepts image input alongside text.

It is an uncensored, instruction-tuned chat model that follows system prompts closely and responds without built-in content refusals.

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