Chai AI

Chai AI

AI chat with characters.

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About Chai AI

Most people who want to chat with an AI character end up on Character AI, and most people who want a general assistant open ChatGPT. Chai AI says it got there before both. According to its own timeline, CHAI launched on the App Store in November 2022 as a consumer platform for creating your own ChatAIs, "ahead of Character AI and ChatGPT." The difference in purpose is the whole story. ChatGPT is built to answer questions and finish tasks. Chai is built for one thing: letting you create and talk to your own AI characters and stories. It isn't trying to write your emails or debug your code.

The gap shows up most clearly in how Chai trains its models. The company's roadmap reads like an engagement playbook. It moved to an in-house 6B model in February 2023 because open-source LLMs "no longer satisfied" its social use case, then scaled to 13B, 24B and, by December 2025, 235B A22B Mixture-of-Experts models. Along the way it trained reward models directly on user signals (100 million of them for Reward Model XL), used PPO "to decrease the probability a chat session ends," and added DPO and GRPO for reported engagement gains of 20% and 15%. It also claims to have invented "model blending," which ensembles different LLMs trained on different targets at the conversation level. The infrastructure behind it is real: 5,000 GPUs across Nvidia A100, L40S and AMD MI325X and MI300X chips, 1.2T tokens served per day and 51K unique LLMs in production.

Here's the honest read. Chai is unusually open about what it optimizes for: retention, screentime and revenue. It credits its December 2025 upgrade with a 25% lift in both screentime and revenue. That's good news if you want characters that keep a conversation going, and worth noting if you're wary of apps designed to hold your attention. It's listed as freemium, with paid plans starting at $13.99/mo. The public site at chai-research.com is mostly a research, funding and careers story ($55M+ raised, backing from AMD Ventures and CoreWeave, 10M+ active users), so you'll learn far more about its GPU cluster than about the app's actual features before you install it.

Key features

Build your own AI characters and stories

The core product is a consumer platform where you create your own AI characters and stories, rather than a single general-purpose assistant.

In-house models tuned for conversation

Chai trains its own LLMs, now up to 235B A22B Mixture-of-Experts models, specifically adapted for social and engagement use instead of relying on off-the-shelf open-source models.

Model blending

Chai ensembles different LLMs trained on different targets at the conversation level, which the company says outperformed GPT-3 on user retention.

Reward models trained on user signals

Responses are filtered with Best-of-8 rejection sampling against reward models trained on user feedback, with the goal of fewer retries and longer chat sessions.

Large dedicated inference cluster

The app runs on a 1.4 exaflop cluster of 5,000 Nvidia and AMD GPUs orchestrated by Chai's in-house Model Mesh system, serving 1.2T tokens per day.

Best for

  • casual users who want to build and chat with custom AI characters
  • interactive story and roleplay fans
  • people who found Character AI limiting and want an alternative
  • AI researchers curious about RLHF at consumer scale

Skip if

  • anyone who needs a productivity assistant for writing, coding or research, since Chai is built purely for characters and stories
  • people trying to cut screen time, because Chai openly trains its models to increase session length and screentime
  • buyers who want detailed feature documentation up front, since the public site focuses on research and funding rather than the app itself

Pros & cons

Pros

  • Purpose-built for character chat, with in-house models adapted for social conversation rather than generic assistant tasks
  • Serious infrastructure behind it: 5,000 GPUs, 1.2T tokens per day and over 1M daily active users supported by Model Mesh
  • Unusually transparent model roadmap, from a 6B model in 2023 to 235B A22B Mixture-of-Experts models in December 2025
  • Freemium model means you can try it before paying the $13.99/mo starting price
  • Proven at scale with 10M+ active users and backing from AMD Ventures and CoreWeave

Cons

  • Models are explicitly optimized to keep you chatting longer and to increase revenue and screentime, which isn't neutral design
  • The website is thin on product detail. You'll find GPU counts and funding news, but almost nothing about actual app features, limits or what paid plans add
  • Only an App Store launch is mentioned in the source, so platform availability beyond that isn't clear from the site
  • No general assistant capabilities are advertised, so it can't replace ChatGPT for everyday work

Frequently asked questions

How is Chai AI different from Character AI?

Both focus on AI characters, but Chai says it launched in November 2022, ahead of Character AI. Chai also runs its own in-house models and a model blending approach that ensembles different LLMs per conversation.

Can Chai AI replace ChatGPT?

Not really. ChatGPT is a general assistant for tasks and questions, while Chai is built for creating and chatting with AI characters and stories, with models tuned for engagement rather than accuracy on work tasks.

How much does Chai AI cost?

Chai is freemium, so you can start free, and paid plans start at $13.99/mo. The public site doesn't break down what each paid tier adds.

What models does Chai AI use?

Chai trains its own models and serves 51K unique LLMs in production. Its current production blend includes 235B A22B Mixture-of-Experts models, fine-tuned with RLHF techniques like DPO and GRPO.

How big is Chai AI?

The company reports 10M+ active users, over $55M in funding and backing from AMD Ventures and CoreWeave. It runs a 1.4 exaflop cluster of 5,000 GPUs serving 1.2T tokens a day.

How Chai AI compares

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