LLMCost
cognitivecomputations

Venice: Uncensored API Pricing

Venice: Uncensored costs $0.200 per 1M input tokens and $0.900 per 1M output tokens. Context window: 128K. Prices verified 2026-10-21 · source

🔔 Price alerts coming soon
Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
8K
HF downloads
757
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.200
Output / 1M tokens
$0.900
Context window
128K
Max output
8K
Knowledge cutoff
2024-04-30

Training data ends here — newer events require retrieval or web search.

What would Venice: Uncensored cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$5.20
Coding agent5,0008,000 / 2,000$17.00
RAG pipeline30,0004,000 / 500$37.50
Doc summarizer2,00020,000 / 1,000$9.80

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About 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...

Compare Venice: Uncensored with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Venice: Uncensored cost?

Venice: Uncensored costs $0.200 per 1M input tokens and $0.900 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

128K tokens, with up to 8K output tokens per response. That's roughly 160 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 93% on a typical workload with comparable quality.

Official resources