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 |
| Multimodal | Image, audio and video endpoints are coming soon |
| Deployment | Plugsky cloud, your VPC, on-prem and air-gapped |
TL;DR
- Keep Gemini for multimodal work until Plugsky media endpoints ship.
- For text chat, tools and embeddings, an OpenAI-compatible API is a clean swap.
- 30+ models and flat monthly pricing simplify routing and forecasting.
- Free tier and a 14-day full-access trial make evaluation cheap.
- Split by modality: Gemini for vision and audio, Plugsky for text and retrieval.
How it works, step by step
- Split your Gemini usage by modality: text, vision, audio, video and embeddings.
- Move the text and embedding workloads first; leave multimodal on Gemini for now.
- Create a Plugsky key on the free plan and replay recorded prompts.
- Change the base URL and model names in OpenAI-style call sites.
- Evaluate quality, latency and safety behaviour on your own rubric.
- Canary production traffic and keep Gemini available for fallback.
Original data
Try it yourself
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Why Gemini users evaluate alternatives
The Gemini API is a strong default when you already live in Google's ecosystem and when multimodal input is central to the product. Teams look elsewhere for narrower reasons: usage-based billing is hard to forecast, model availability and quotas can shift, and some buyers need deployment options that go beyond a managed cloud endpoint.
Those concerns rarely apply to the whole stack. Often only a subset of traffic — text generation, classification, embeddings — needs a different home, while vision and audio work stays exactly where it is.
What transfers cleanly
Text chat, streaming, JSON mode, function calling, embeddings and agents are live on Plugsky through an OpenAI-compatible API, so SDK code and frameworks that speak that schema keep working. The migration is a base URL and model-name change plus evaluation, not a rewrite.
- Replay recorded prompts and diff the outputs.
- Keep one embedding model per index to avoid mixed vectors.
- Route easy traffic to cheaper tiers; save frontier models for hard prompts.
- Compare throughput under production-shaped concurrency, not just single-request tests.
- Keep an adapter layer so routing rules can change without redeploys.
- Pin model versions in configuration so changes are deliberate.
Evaluation, residency and rollout
Plugsky supports region selection and customer VPC, on-prem or air-gapped deployment, which matters for regulated workloads. It does not replace Gemini's multimodal endpoints today: image, audio and video are coming soon, so keep those on Google. Fine-tuning, batch, files, moderation, assistants and responses are also coming soon.
The practical plan is a modality split with clear routing: Gemini for anything visual or audio, Plugsky for text, embeddings and retrieval. Start on the free plan, use the 14-day full-access trial for harder prompts, and see the live pricing page for current plan details.
Honest comparison
| Capability | Plugsky | Google Gemini API | Self-hosting open models |
|---|---|---|---|
| Text chat and tools | OpenAI-compatible, live | Gemini models | You run inference |
| Multimodal | Images and audio coming soon | Core strength | Depends on model |
| Pricing shape | Flat monthly self-serve | Usage-based | GPU plus ops cost |
| Free tier | plugsky-micro and plugsky-lite, no card | Available | No free tier |
| Deployment | Cloud, VPC, on-prem, air-gapped | Google Cloud regions | Your infrastructure |
Frequently asked questions
Can Plugsky replace the Gemini API?
For text, tools and embeddings, yes. For vision, audio and video, not yet: those endpoints are coming soon, so keep multimodal workloads on Gemini for now.
Do I need to rewrite my integration?
If your code uses the OpenAI SDK or an OpenAI-compatible framework, changing the base URL and model names is usually enough. Gemini-native clients need an adapter.
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 the 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.
Does Plugsky support data residency?
Yes. Region selection and sovereign deployments including VPC, on-prem and air-gapped are available for regulated teams.
Can I keep Gemini for some workloads?
Yes. A modality split is common: Gemini for image and audio, Plugsky for text, embeddings and retrieval.