Model Cost Profile

Venice: Uncensored (free)

Developer: cognitivecomputations

Pricing updated Mar 11, 2026

Input rank: #25Output rank: #25

Live Pricing

Input: $0.0000

Output: $0.0000

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Venice: Uncensored, developed by cognitivecomputations, offers a substantial context window of 32,768 tokens, making it suitable for applications requiring extensive text analysis or generation, such as legal document review and long-form content creation. As a free API model, it enables teams to leverage sophisticated natural language processing capabilities without incurring input or output costs, allowing for scalable experimentation and development. This model is particularly advantageous for startups and research teams seeking to integrate advanced AI solutions without financial constraints, facilitating innovation in various sectors.

๐Ÿ“‹ Structured Output

Context Window

32,768

Tokens

Input Price / 1M

$0.0000

Prompt tokens

Output Price / 1M

$0.0000

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Venice: Uncensored (free) Pricing Trend

Input / 1M tokensOutput / 1M tokens
Mar 7 โ€” Mar 11
$0.000000$0.000000$0.000000Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.000000

Current Output / 1M

$0.000000

Cheaper Alternatives to Compare

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FAQ

Common pricing and benchmark questions for Venice: Uncensored (free).

How much does Venice: Uncensored (free) cost per 1M input tokens?

Venice: Uncensored (free) input pricing is $0.0000 per 1M tokens based on the latest synced provider data.

How much does Venice: Uncensored (free) cost per 1M output tokens?

Venice: Uncensored (free) output pricing is $0.0000 per 1M tokens based on the latest synced provider data.

What context window does Venice: Uncensored (free) support?

Venice: Uncensored (free) supports a context window of 32,768 tokens.

How can I compare Venice: Uncensored (free) with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.