19 models

PPIO supports stable and cost-efficient open-source LLM APIs, such as DeepSeek, Llama, Qwen etc.

Supported Models

DeepSeek: DeepSeek R1 (community)

deepseek/deepseek-r1/community

62K

Maximum Context Length

62K

Maximum Output Length

--

Input Price

$0.55

Output Price

$2.21

DeepSeek: DeepSeek V3 (community)

deepseek/deepseek-v3/community

62K

Maximum Context Length

62K

Maximum Output Length

--

Input Price

$0.14

Output Price

$0.28

DeepSeek R1 Distill Llama 70B

deepseek/deepseek-r1-distill-llama-70b

32K

Maximum Context Length

32K

Maximum Output Length

--

Input Price

$0.80

Output Price

$0.80

DeepSeek: DeepSeek R1 Distill Qwen 32B

deepseek/deepseek-r1-distill-qwen-32b

62K

Maximum Context Length

62K

Maximum Output Length

--

Input Price

$0.30

Output Price

$0.30

Using PPIO in v271.cz

PPIO supports stable and cost-efficient open-source LLM APIs, such as DeepSeek, Llama, Qwen etc.

This document will guide you on how to integrate PPIO in v271.cz:

Step 1: Register and Log in to PPIO

Visit PPIO and create an account
Upon registration, PPIO will provide a ￥5 credit (about 5M tokens).

Step 2: Obtain the API Key

Visit PPIO's key management page, create and copy an API Key.

Step 3: Configure PPIO in v271.cz

Visit the Settings interface in v271.cz
Find the setting for PPIO under Language Model

Open PPIO and enter the obtained API key
Choose a PPIO model for your assistant to start the conversation

During usage, you may need to pay the API service provider, please refer to PPIO's pricing policy.

You can now engage in conversations using the models provided by PPIO in v271.cz.

Related Providers

@OpenAI

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@Ollama

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Ollama provides models that cover a wide range of fields, including code generation, mathematical operations, multilingual processing, and conversational interaction, catering to diverse enterprise-level and localized deployment needs.

@Anthropic

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@Bedrock

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Bedrock is a service provided by Amazon AWS, focusing on delivering advanced AI language and visual models for enterprises. Its model family includes Anthropic's Claude series, Meta's Llama 3.1 series, and more, offering a range of options from lightweight to high-performance, supporting tasks such as text generation, conversation, and image processing for businesses of varying scales and needs.

@Google

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Google's Gemini series represents its most advanced, versatile AI models, developed by Google DeepMind, designed for multimodal capabilities, supporting seamless understanding and processing of text, code, images, audio, and video. Suitable for various environments from data centers to mobile devices, it significantly enhances the efficiency and applicability of AI models.