Overview / Description
Cliyer AI is an AI model runner that lets developers chat with any open-source Ollama model through a managed cloud interface, without setting up local infrastructure. It targets machine learning engineers, full-stack developers, and AI practitioners who want on-demand access to open-source models without managing their own hardware.
The platform connects to the Ollama model library, giving users access to hundreds of specialized open-source models including Llama, Qwen, Mistral, and DeepSeek. Users can pull any model by entering its tag directly through the Model Manager, and switching between models mid-conversation is supported without restarting a session. Cliyer AI runs inference on enterprise-grade engine clusters, so there is no local GPU required and no configuration overhead.
Billing is based on actual inference time in seconds rather than a flat monthly subscription. Three credit tiers are available: a free tier with 100 credits supporting models under 10GB on the Starter Engine, a $5 tier with 1,000 credits supporting models under 40GB with priority infrastructure, and a $25 tier with 5,000 credits unlocking all engine tiers and models up to 60GB. The platform currently supports models up to 70GB in size. For teams evaluating multiple open-source AI models, this AI model runner removes the barrier of infrastructure setup while keeping costs tied directly to usage.
Used For
Cliyer AI is primarily used for chatting with open-source AI models from the Ollama library through a cloud-hosted interface, removing the need for local GPU setup. Developers and ML teams also use it to compare outputs across multiple models such as Llama, Qwen, and Mistral within a single session.
Pricing
Free
100 credits. Supports small models under 10GB. Starter Engine tier only. Credits-based billing with chat history.
Starter
1,000 credits for $5. Supports standard models under 40GB. Up to Plus Engine tier. Priority infrastructure and fast inference.
Pro
5,000 credits for $25. Supports large models under 60GB. All engine tiers unlocked. Best value for large model usage.
Pros & Cons
Pros
- Pull and run any Ollama model via a Model Manager by entering the model tag — no local GPU or server setup required
- Switch between models such as Llama, Qwen, and Mistral mid-conversation without restarting a session
- Pay-per-second billing with no storage fees or monthly subscription lock-in
- Supports models up to 70GB in size across three engine tiers (Starter, Plus, All Tiers)
- Free tier includes 100 credits with access to small models under 10GB
Cons
- Free tier is limited to small models under 10GB on the Starter Engine only
- No local or self-hosted deployment option — inference runs on Cliyer's cloud infrastructure
- Credit-based billing may be unpredictable for high-volume or long-running inference workloads
- No mention of API access or programmatic integration for use in external applications
Questions & Answers
Alternatives
Open WebUI, LM Studio, Jan.ai, Msty