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It exposes a REST API compatible with the OpenAI Chat Completions format, so existing tooling built against a cloud provider can point at a local Ollama instance with minimal code changes. Tool calling, structured outputs, and vision capabilities work out of the box for models that support them.\n\nBecause it runs entirely on the user's own hardware by default, models never leave the machine and nothing is used to train Ollama's own systems, a meaningful privacy and cost advantage for local development, testing, and inference-heavy prototyping. For workloads that outgrow local hardware, **Ollama Cloud** extends the same CLI and API to hosted models running on Ollama's own infrastructure (across US, Europe, and Singapore regions), so a developer can move a workload from a laptop to the cloud without switching tools. This dual local-and-cloud design is the core of Ollama's growth story: reported 52 million monthly downloads in Q1 2026, a 520x increase from Q1 2023.\n\nThe project is MIT-licensed and open source, with 178K+ GitHub stars and 2.5 billion+ cumulative model downloads. Local usage is entirely free; Ollama Cloud adds paid Pro and Max tiers for larger concurrent model access and higher usage limits, plus Team and Enterprise plans for organizations needing shared billing, zero data retention, and deployment support.","Build with open models, on your computer and in the cloud.",[361,362,363,364,365,366,367],"One-command download and serving of 100+ open-weight models (Llama, Qwen, DeepSeek, GLM, MiniMax, gpt-oss, Gemma)","OpenAI-compatible REST API, drop-in for existing tooling built against cloud providers","Automatic hardware tuning across Apple Silicon, NVIDIA GPUs, and AMD ROCm","Tool calling, structured outputs, and vision support for compatible models","Fully local by default, models never leave the machine","Ollama Cloud extends the same CLI\u002FAPI to hosted models across US, Europe, and Singapore","CLI, REST API, and desktop apps",[369,370,371,372,373],"Free, unlimited local usage with zero per-token cost, the default way most developers first try open-weight models","OpenAI-compatible API makes swapping a cloud provider for local inference close to a one-line change in existing code","Massive model catalogue (100+ models) updated quickly as new open-weight releases ship","Ollama Cloud provides a clean upgrade path to larger models without switching tools or APIs","Huge, active community (178K+ GitHub stars, 2.5B+ downloads) means broad compatibility and fast bug fixes",[375,376,377,378],"Local performance is bounded by the user's own hardware, larger models require real GPU memory to run well","Ollama Cloud's Max tier ($100\u002Fmonth) has new subscriptions temporarily paused as of evaluation","Team plan has a 5-seat minimum ($25\u002Fseat\u002Fmonth), a real cost floor for small teams that only need a couple of cloud seats","Not a production inference-serving platform on its own for high-throughput workloads, tools like vLLM are typically paired in for that",{},[],[382,384,386,388,390],{"tier_name":14,"price":15,"billing_period":16,"features":383},[18,19,20],{"tier_name":22,"price":23,"billing_period":16,"features":385},[25,26,27],{"tier_name":29,"price":30,"billing_period":16,"features":387},[32,33],{"tier_name":35,"price":36,"billing_period":16,"features":389},[38,39],{"tier_name":41,"price":42,"billing_period":16,"features":391},[44],[],[],1790518392873]