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llmwaves

Uncensored

Cognitive Computations · released Jul 9, 2025

Open weightsStructured output

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...

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Specification

Context window
128K
Max output
8K
Knowledge cutoff
Apr 30, 2024
Parameters
24B
Licence
apache-2.0
Serving providers
1
Moderated
No
Uptime
100.0%

Intelligence

—

Not benchmarked

Coding

—

Coding Index

Agentic

—

Agentic Index

Output speed

25 t/s

Median across providers

Latency

572ms

Time to first token

Cost per task

$0.03

Estimated

Benchmarks

Where the score comes from

The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.

Evaluation scores

This model has not been put through the benchmark suite. Its speed, latency and pricing figures below are still measured.

Against its peers

Intelligence Index · this model highlighted, nearest peers in grey

Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.

View as table
ModelIntelligence
Claude Opus 563.1
Claude Fable 562.1
GPT-5.6 Sol60.9
Kimi K359.7
Qwen3.8 Max58.1
Claude Opus 4.857.3
Muse Spark 1.256.8

Pricing

What it costs to run

List prices per million tokens, plus what one representative task works out to.

List price

Input / 1M tokens
$0.2
Output / 1M tokens
$0.9
Cached input / 1M
Not offered
Blended 3:1
$0.375

One task, estimated

$0.03

Input tokens
50,000
Output tokens
25,000
Profile
Standard

Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).

Serving providers

Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.