6 Best Models That Work with Janitor AI, Free and Paid

This article is not a step-by-step guide. It is an informative analysis to help you understand your options before choosing a model. For official setup instructions, refer to Janitor AI’s documentation

Janitor AI is a character-rich roleplay tool. You can connect it with different AI models. The model you choose decides the quality of your experience. These models are the driving force behind Janitor’s ability to chat, roleplay,  and create stories.

Models

• LLaMA 2 (Free)  •  Mistral 7B (Free)  •  Falcon 40B (Free)  •  GPT-J 6B (Free)  •  GPT-4 / GPT-4o (Paid)  •  Claude 2 (Paid)

In this blog, we will tell you about the features of the 6 best models that work with Janitor AI, so that you can pick the right one.

Why Janitor AI Needs Models

• Janitor AI is just an interface. It does not generate text by itself.
• It connects with models like LLaMA, GPT, or Falcon.
• The model does the “thinking.” Janitor AI gives you characters, memory, and roleplay tools.
• All the characters are created by these models.

1. LLaMA 2 (Free)

 LLaMA 2 is an open-source large language model released by Meta (Facebook) in July 2023, available in 7B, 13B, and 70B parameter sizes. It was one of the first commercially-licensed open models to rival proprietary systems, making it a landmark release for the open-source AI community.

Key Features

• Made by Meta (Facebook) — open-source and free.
• Comes in sizes: 7B, 13B, and 70B parameters.
• Strong at roleplay and storytelling.
• Can run on local PCs with a GPU or on Google Colab.
• Works with Janitor AI through KoboldAI or API.
• Makes Janitor’s responses more realistic and coherent.

Flow Diagram

• Janitor AI (User Interface) + Kobold AI (Middleware) + LLaMA 2 (Brain).

Function Of Kobold AI With Janitor AI

• Kobold AI provides extra features to janitor AI, like storytelling and story writing. It also acts as a Middleware or bridge that connects the Janitor with a backend Model like LLaMA 2.

Use Cases — LLaMA 2

Best For: Free users who want realistic chats and long roleplays.

User Reviews

Community users frequently praise LLaMA 2’s open-source flexibility and the ability to fine-tune it for specific roleplay styles. Many users report that the 13B and 70B variants produce noticeably richer storytelling compared to the 7B version. Some common criticisms include higher hardware demands for the larger variants and occasional repetition in very long roleplay sessions.

2. Mistral 7B (Free)

 Mistral 7B is an open-source language model released by Mistral AI (a French AI startup) in September 2023, designed to outperform larger models at a fraction of the compute cost. It uses grouped-query attention and sliding window attention to achieve fast, efficient inference at just 7 billion parameters

Key Features

• • Open-source model made by Mistral AI — small but powerful.
  • Free to use. Fast and lightweight — operates with 7 billion parameters.

Hardware Requirement

• Mid-range GPU or cloud service.

Flow Diagram

• Janitor AI (User Interface) + Kobold AI (Middleware) + Mistral 7B (Brain).

 Use Cases — Mistral 7B

Best For: Fast replies and low hardware cost.

User Reviews

Mistral 7B scores 4.2 out of 5 on G2 from verified users. Reviewers consistently highlight its fast response time and surprising capability given its compact size. Users in enterprise settings praise it for real-time applications and prototyping. A common drawback noted is that it occasionally lacks depth in complex reasoning or nuanced emotional conversations compared to larger models.

3. Falcon 40B (Free)

 Falcon 40B is a 40-billion-parameter open-source model developed by the Technology Innovation Institute (TII) in Abu Dhabi, UAE, and released in 2023 under an Apache 2.0 license for commercial use. At release, it ranked at the top of the Hugging Face Open LLM Leaderboard, making it one of the most capable openly available models of its generation.

Key Features

• • Developed by the Technology Innovation Institute (TII) — completely open-source.
  • 40 billion parameters — one of the larger free models available.
  • Slower than smaller models like Mistral 7B, but produces more detailed answers.
  • Requires a capable PC or cloud server.

What the size means in practice

The 40B parameters allow Falcon to:

• Understand complex writing styles.
• Keep track of longer conversations.
• Produce well-structured and detailed responses.

Because of this, it is popular for:

• Creative writing
• Branching stories
• Roleplay

Hardware Requirements 

• Component	Requirement
  GPU	40GB VRAM (NVIDIA A100)
  RAM	64GB
  Storage	200–250GB
  Recommendation	Prefer cloud platforms if your PC cannot handle it.

Flow Diagram

• Janitor AI (User Interface) + Kobold AI (Middleware) + Falcon 40B (Brain).

 Use Cases — Falcon 40B

Best For: Users who want depth in roleplay and are okay with slower responses in exchange for richer conversations.

User Reviews

Developers and power users who have run Falcon 40B in cloud environments report strong output quality and well-structured responses for long-form roleplay and creative fiction. The main recurring concern is cost and hardware complexity. Users who have compared it against LLaMA 2 70B note similar output quality, with Falcon sometimes performing better at dialogue coherence.

4. GPT-J 6B (Free)

 GPT-J 6B is a 6-billion-parameter open-source transformer model released by EleutherAI in June 2021, trained on the Pile dataset and designed as an open alternative to OpenAI’s GPT-3. It was one of the first large open-source language models capable of coherent text generation, establishing EleutherAI as a key player in open AI research.

Key Features

• • Older model but still useful — open-source and free.
  • 6B parameters. Lightweight compared to Falcon 40B.
  • Can run on consumer GPUs.
  • Supports basic roleplay and story prompts.

Hardware Requirement

Trick For Low VRAm (4-5 GB)

Tip: GPT-J 6B requires 12 GB VRAM to run smoothly. If you only have 4–5 GB VRAM, community tools (such as 4-bit quantization via GPTQ or llama.cpp) allow you to run it, but performance will be slower.

Flow Diagram

• Janitor AI ( User Interface) + Kobold AI (Middleware) + GPT-J 6B( Brain)

GPT-6B And Falcon 40B Comparison

Use Cases — GPT-J 6B

Best For: Budget users who want a free, locally runnable model for light roleplay.

User Reviews

GPT-J 6B is widely regarded as a beginner-friendly entry point into self-hosted AI roleplay. Users appreciate how accessible it is on mid-range hardware. However, most experienced roleplay users note that it has been largely superseded by newer models like Mistral 7B, which offers better output quality at the same parameter scale. Common feedback: good for short, casual sessions, but tends to lose context in longer stories.

5. GPT-4 (Paid)

 Editor Note: The article originally listed only GPT-4. OpenAI’s current flagship API models are GPT-4o and GPT-4 Turbo. The original GPT-4 is still available via API but is largely superseded. Heading and content updated to reflect this. Pricing corrected: GPT-4 Turbo is $0.01 input / $0.03 output per 1,000 tokens; GPT-4o is $0.0025 input / $0.01 output per 1,000 tokens.

GPT-4 is OpenAI’s fourth-generation multimodal large language model, launched in March 2023, known for significantly outperforming GPT-3.5 on complex reasoning, coding, and language benchmarks. GPT-4o (“omni”), released in May 2024, is an optimized variant that processes text, images, and audio natively while delivering faster responses and lower API costs.

• Built by OpenAI — very powerful and accurate.
• Runs on server-grade hardware in OpenAI’s cloud.
• Delivers high accuracy, reasoning, and coherence.
• Handles roleplay, reasoning, and long context.
• Works with Janitor AI via API connection.
• Best text generation quality among widely available commercial models.
• Used to solve advanced and complex tasks.

Hardware Requirement

• Cloud-Only: No local VRAM or GPU required. All heavy processing is done in OpenAI’s cloud. Runs on any PC, laptop, tablet, or phone. The only requirement is a stable internet connection.

Flow Diagram

• Janitor AI ( User Interface) + Kobold AI (Middleware) + GPT-4( Brain).

Pricing 

 Note: Prices as of 2025–2026. Always check openai.com/api/pricing for the latest rates.

Use Cases — GPT-4 / GPT-4o

Best For: Users who want premium, natural, human-like chats and are comfortable paying per API usage.

User Reviews

GPT-4 and GPT-4o are consistently rated as the gold standard for output quality among commercially available models. Janitor AI users report that GPT-4o in particular provides fast, coherent, and expressive roleplay. The main drawback cited by the community is OpenAI’s strict content usage policies, which can result in refusals for NSFW or dark-themed roleplay scenarios.

6. Claude 2 (Paid)

 The article lists Claude 2 as the current Anthropic model. As of 2025–2026, Anthropic has released Claude 3 (Haiku, Sonnet, Opus), Claude 3.5, and the Claude 4 family. Claude 2 is a legacy model. For new users connecting Janitor AI via API, Anthropic now recommends the Claude 3 or Claude 4 series. The original Claude 2 information is kept intact since the article’s focus is on historical model options.

 Claude 2 is a large language model developed by Anthropic and released in July 2023, built with a focus on safety, long context handling, and reduced harmful outputs using Anthropic’s Constitutional AI training method. It supports a 100,000-token context window — one of the largest available at the time of release — making it particularly strong for tasks requiring processing of lengthy documents.

Key Features

• • Made by Anthropic — paid API access.
  • Known for long context handling and safer conversation defaults.
  • Can store and process long documents without splitting them.
  • Handles up to 100K tokens in one session (approximately 75,000 words).
  • Strong in roleplay with memory support.
  • Easy integration with Janitor AI via API.

Hardware Requirements

• Cloud-Only: Requires powerful cloud GPUs (NVIDIA A100/H100) on Anthropic’s servers. Uses a very large RAM (hundreds of GB) server-side. Has approximately 70–100 billion parameters (exact number not public). Cannot run on a normal PC — only accessible via Anthropic’s API.

Flow Diagram

• Janitor AI ( User Interface) + Kobold AI (Middleware) + Claude 2( Brain)

Pricing

 Note: Prices as of 2025–2026. Always verify at anthropic.com/pricing.

 Use Cases — Claude 2

Best For: Long and detailed roleplays where conversation memory and document handling are important.

User Reviews

Claude models are frequently cited in Janitor AI community guides as excellent for “slow burn” and emotionally nuanced roleplay, thanks to their large context windows and ability to maintain character consistency across long sessions. Claude 3 Opus, in particular, has gained a strong reputation among advanced users for its nuanced understanding of emotional subtext. A frequently mentioned downside is Anthropic’s safety filters, which can limit some mature-themed scenarios.

How to Choose the Right Model

Final Thoughts

Janitor AI gives you fun chats, roleplays, and stories. But the model you connect to decides the output quality. Free models like LLaMA 2 and Mistral 7B are great if you want to save money or run things locally. Paid models like GPT-4o and Claude 3/4 give the best results for complex, long-form, or emotionally rich roleplay.

The best choice depends on your budget, hardware, and the type of roleplay experience you want.

FAQ’s