Key facts
| Provider | Google — Gemini models served through the Gemini API and AI Studio |
| API style | Google-native endpoints and SDKs, with multimodal inputs supported natively |
| Plugsky API | OpenAI-compatible /v1/chat/completions — change the base URL, keep your SDK |
| Models | 30+ models from free to frontier behind one API key |
| Pricing | Flat monthly plans with unlimited fair-use usage; no per-token billing on self-serve |
| Free tier | Free plan with plugsky-micro and plugsky-lite, no card; 14-day full-access trial |
| Deployment | Plugsky cloud, your VPC, on-prem or air-gapped; region choice for residency |
| Live vs roadmap | Chat, streaming, JSON mode, function calling, embeddings, RAG, agents live; audio, images, moderation, files, batch, fine-tuning, assistants, responses coming soon |
TL;DR
- Gemini leads on multimodal input and long context in its model family.
- Plugsky leads on OpenAI compatibility, catalogue breadth and flat monthly pricing.
- Application code written for OpenAI-format clients moves with a base URL change.
- Plugsky free tier: plugsky-micro and plugsky-lite; 14-day full-access trial for the rest.
- Honest trade-off: images and audio are still coming-soon endpoints on Plugsky.
How it works, step by step
- Document which Gemini features are core: multimodal input, long context, structured output.
- Create a Plugsky account and map text workloads to Plugsky tiers.
- Move OpenAI-format calls by changing base URL and model names; write an adapter only where formats differ.
- Re-run structured-output and function-calling tests, since schema handling can differ.
- Keep Gemini for multimodal features until equivalent endpoints ship on Plugsky.
- Consolidate text, embeddings and agents on one platform to simplify operations.
Original data
Try it yourself
Open the Google Gemini API cost calculator →
What the Gemini API brings
Gemini's advantage is model breadth within one family: fast tiers, reasoning tiers, long context and native multimodal input. Structured output and function calling are first-class, and AI Studio provides a low-friction developer tier for prototyping before you commit to production volume.
The constraints are integration shape and control. The API follows Google conventions, so code written against it is not portable without adaptation, and processing happens within Google's regional footprint rather than an environment you configure.
What Plugsky brings
Plugsky's proposition is a stable OpenAI-compatible surface across many models. One endpoint reaches 30+ models, with a free plan (plugsky-micro and plugsky-lite) and a 14-day full-access trial. Self-serve pricing is flat monthly with unlimited fair-use usage (live pricing).
For regulated buyers the deployment menu matters: Plugsky cloud, your VPC, on-prem or air-gapped, with region selection. Chat, streaming, JSON mode, function calling, embeddings, RAG and agents are live; audio, images, moderation, files, batch, fine-tuning, assistants and responses are coming soon and clearly labelled.
How to decide, feature by feature
Score the decision per capability instead of choosing one vendor wholesale.
- Text generation, reasoning and extraction: both viable — compare on your evals and cost model.
- Multimodal input: Gemini today; Plugsky images and audio are coming soon.
- Embeddings and RAG: both viable — check dimension and language coverage for your corpus.
- Residency and deployment: Plugsky offers in-region and self-managed options.
- Portability: OpenAI-compatible clients keep future switches cheap.
Keep an explicit exception list. Anything that depends on native multimodal input or very long context stays where it works today, while the rest of the workload can consolidate immediately.
Honest comparison
| Capability | Plugsky | Gemini API | Building in-house |
|---|---|---|---|
| API style | OpenAI-compatible drop-in | Google-native APIs and SDKs | You define the schema |
| Multimodal | Images and audio coming soon | Native text, image, audio and video input | You build it |
| Catalogue | 30+ models, free to frontier | Gemini family across capability tiers | You host each model |
| Billing | Flat monthly, unlimited fair use (see live pricing) | Usage-based with a free AI Studio tier | GPU + ops cost |
| Residency | Region choice, VPC, on-prem, air-gapped | Google-managed regions | You control the infrastructure |
| Honest gap | Multimodal endpoints not live yet | Multimodal depth and long-context strengths | You build everything |
Frequently asked questions
Are Gemini and Plugsky APIs compatible?
Not directly — Gemini uses Google-native formats. Plugsky uses OpenAI-compatible formats, so a small adapter or client change is needed if you move.
Does Plugsky support multimodal input?
Not yet. Images, audio, files and similar endpoints are coming soon; keep those workloads on Gemini for now.
Which is better for long context?
Gemini offers very long context in its family. Plugsky includes long-context tiers; test with your actual documents rather than assuming parity.
Is there a free plan on Plugsky?
Yes — plugsky-micro and plugsky-lite are free with no credit card, and a 14-day full-access trial is available.
How is Plugsky priced?
Flat monthly self-serve plans with unlimited fair-use usage and no per-token billing. See the live pricing page.
Can I use both providers?
Yes. A common split is Gemini for multimodal features and Plugsky for text, embeddings and agent workloads.
Does Plugsky offer private deployment?
Yes — VPC, on-prem and air-gapped options are available for enterprise customers, with region selection.