Key facts
| API compatibility | OpenAI-compatible /v1/chat/completions (drop-in base URL change) |
| Models | 30+ models in one catalogue, from free tiers to frontier reasoning |
| Pricing | Flat monthly self-serve plans with unlimited fair-use usage |
| Free tier | plugsky-micro and plugsky-lite, no card required |
| Trial | 14-day full-access trial for stronger models |
| Deployment | Plugsky cloud, your VPC, on-prem and air-gapped |
| Local development | Keep Ollama locally and point production at Plugsky |
TL;DR
- Ollama is excellent for local development and self-hosted open models.
- Its cloud service sits between local-first tooling and a managed API.
- A managed OpenAI-compatible API removes model hosting and capacity planning.
- Flat monthly pricing replaces per-token arithmetic on self-serve.
- Keep Ollama for local dev and evaluations; use a managed API in production.
How it works, step by step
- Decide what the cloud service must provide: capacity, model variety, residency or SLAs.
- Keep Ollama locally for fast iteration and prompt development.
- Create a Plugsky key on the free plan and test the same prompts in production-like conditions.
- Switch OpenAI-style client code to the Plugsky base URL and model names.
- Compare quality, throughput and error behaviour under real concurrency.
- Document which environments use local, cloud and managed endpoints.
Original data
Try it yourself
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Ollama's local-first strength
Ollama earned its place by making open models one command away on a laptop. That local loop is hard to beat for prompt iteration, privacy-sensitive experiments and offline work. The cloud service extends the same model catalogue to hosted capacity, which helps when local hardware is not enough.
The question is what you want from the hosted layer: simple access to open models, or a production API with predictable pricing, residency controls and a support relationship. Those are different products, and the second one is where managed providers compete.
Where a managed API fits
Plugsky exposes an OpenAI-compatible endpoint, so production services that already speak that schema need only a base URL and model-name change. The catalogue covers 30+ models, including long-context and embedding options, and flat monthly self-serve pricing keeps cost forecasting simple.
- Production chat, tools and embeddings on one key.
- Deployment in your VPC, on-prem or air-gapped when needed.
- Free plan with plugsky-micro and plugsky-lite for staging.
- 14-day full-access trial for frontier models.
Migration and the hybrid pattern
The healthiest setup for many teams is local plus managed: Ollama on developer machines for fast iteration, Plugsky for staging, production and shared services, and a shared evaluation suite so models are compared on the same prompts. Because both expose OpenAI-style interfaces, moving between them is configuration rather than code.
Keep expectations honest: Plugsky does not let you pull arbitrary Ollama models, and audio, images, moderation, files, batch, fine-tuning, assistants and responses are coming soon. Chat, streaming, tools, embeddings and agents are live. See the live pricing page for current plans.
Honest comparison
| Capability | Plugsky | Ollama Cloud API | Local Ollama |
|---|---|---|---|
| Where it runs | Managed cloud or your environment | Hosted by provider | Your own hardware |
| API style | OpenAI-compatible | Ollama API with OpenAI-compatible mode | Ollama API |
| Pricing shape | Flat monthly self-serve | Usage-based | Hardware cost |
| Residency | Region selection, VPC, on-prem, air-gapped | Provider regions | You control |
| Best for | Production APIs and agents | Hosted open models | Local development |
Frequently asked questions
Can Plugsky replace Ollama Cloud?
For production APIs, yes. If you value Ollama's local workflow, keep it for development and route production traffic through a managed OpenAI-compatible endpoint.
Is migration hard?
No. Both expose OpenAI-style interfaces for chat, so client code usually needs only a base URL and model-name change.
Is there a free plan?
Yes. plugsky-micro and plugsky-lite are free with no credit card, and a 14-day full-access trial opens stronger models.
How is pricing structured?
Self-serve plans are flat monthly with unlimited fair-use usage and no per-token billing. See the live pricing page for current plans.
Can I still run models locally?
Yes. Many teams keep Ollama locally for development and evaluations and use Plugsky for staging and production.
Does Plugsky support embeddings?
Yes, the embeddings API is live for RAG and semantic search, alongside chat, streaming, tools and agents.