Pure Chat vs Together AI
Side-by-side comparison to help you choose the best tool.
Pure Chat
freemiumPure Chat is simple live chat software with visitor tracking, SMS follow-up, and AI canned responses for small business customer support. It provides unlimited chats on all plans with real-time analytics showing visitor behaviour and chat performance metrics. Pure Chat's SMS follow-up feature allows agents to continue conversations and send reminders after a chat session ends.
Together AI
freemiumTogether AI is an AI cloud platform for training and running open-source models at enterprise scale. It provides high-throughput inference for LLaMA, Mistral, FLUX, and other models, along with fine-tuning as a service. Together is used by AI startups and enterprises that want the economics of open-source models with the reliability of managed cloud infrastructure.
| Feature | Pure Chat | Together AI |
|---|---|---|
| Pricing | freemium | freemium |
| Category | - | - |
| Rating | 4.0 | 4.4 |
| Best For | Small businesses wanting affordable unlimited live chat with SMS follow-up | AI startups and enterprises wanting high-throughput open-source LLM inference with fine-tuning features at competitive cloud pricing |
| Views | 69 | 75 |
Pros
- Unlimited chats even on entry-level plans
- SMS follow-up capability is unique for small business tools
- Clean, easy-to-use interface
Cons
- Limited chatbot automation compared to competitors
- Fewer integrations than leading alternatives
Pros
- Best open-source LLM inference price-performance
- Fine-tuning as a service is turnkey
- High throughput for production workloads
Cons
- Requires model knowledge — not plug-and-play like OpenAI
- Support response times vary
- Unlimited live chat on all plans
- Real-time visitor tracking and analytics
- SMS follow-up after chat sessions
- AI-powered canned response suggestions
- Mobile app for iOS and Android
- High-throughput open-source LLM inference
- Fine-tuning as a service
- Serverless & dedicated deployments
- LLaMA, Mistral & FLUX APIs
- Batch inference