What is the context window of Venice Uncensored by NanoGPT?

Venice Uncensored by NanoGPT has a context window of 128K tokens. It supports up to 128K input tokens and can generate up to 16K output tokens.

What input and output types does Venice Uncensored support?

Venice Uncensored by NanoGPT accepts text as input and can generate text as output.

Is Venice Uncensored by NanoGPT open source?

Yes, Venice Uncensored by NanoGPT has open weights, meaning the model weights are publicly available for download and self-hosting.

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Venice Uncensored API

NanoGPT

About

Process massive datasets with Venice Uncensored, featuring an expansive 128K context window for long-document analysis. This model delivers cost-effective pricing at $0.40/1M input and $0.40/1M output tokens, open weights architecture. Access Venice Uncensored via the NanoGPT API with up to 16K output tokens.

Capabilities

Input Modalities

text

Output Modalities

text

Reasoning

Structured Output

Tool Use

WeightsOpen

Temperature

Fixed

Attachment

Not Supported

Limits

Context Window

128K

Tokens

Input Limit

128K

Tokens

Max Output

16K

Tokens

Pricing

Standard (per 1M tokens)

Input

$0.40

Output

$0.40

Caching (per 1M tokens)

Read

$0.20

Frequently Asked Questions

Venice Uncensored by NanoGPT costs $0.40 per 1M input tokens and $0.40 per 1M output tokens. Cached reads cost $0.20 per 1M tokens.

Model Details

venice-uncensored

Provider

NanoGPT

Family

venice

Release Date

Oct 1, 2025

Knowledge Cutoff

N/A

API Integration

NPM Package

@ai-sdk/openai-compatible

Environment Variables

NANO_GPT_API_KEY

API Base URL

https://nano-gpt.com/api/v1

Documentation