Key facts
| API style | OpenAI-compatible chat completions |
| Model scope | 30+ models across families |
| Features | Chat, streaming, JSON mode, function calling and embeddings live |
| Pricing model | Flat monthly self-serve plans |
| Deployment | Cloud, VPC, on-prem or air-gapped |
| Free access | Free plan with plugsky-micro and plugsky-lite |
| Privacy | Region choice plus private deployment options |
| Best for | Multi-family products and regulated workloads |
TL;DR
- Grok's API is the deepest route to xAI models and their search features.
- Plugsky is the broader route: 30+ models, one endpoint, flat monthly plans.
- Both are OpenAI-compatible, so migration is a base URL and model mapping.
- Per-token versus flat plans is the pricing decision.
- Residency and private deployment favor Plugsky.
How it works, step by step
- List the Grok models and features your product depends on.
- Separate workloads that need xAI-specific features from general chat.
- Test equivalent Plugsky models on your prompts, including tools and JSON mode.
- Compare per-token spend with flat plan pricing at real volume.
- Check residency and deployment requirements for both options.
- Move general workloads first and keep xAI-specific ones in place.
Try it yourself
Open the xAI Grok API cost calculator →
What the Grok API offers
The Grok API gives first-party access to xAI's models through a chat completions interface that OpenAI clients recognise. Alongside standard generation, it supports function calling, structured outputs and search-oriented capabilities that connect answers to current information.
For products whose differentiation depends on those specific models and features, the first-party route is the sensible default, and migration away only makes sense when a concrete requirement, such as residency or cost shape, demands it.
What Plugsky offers instead
Plugsky answers a different question: how to run many workloads through one integration. Its catalogue spans 30+ models across families, so a product can pair a small model for classification with a frontier tier for reasoning without adding vendors. Chat, streaming, JSON mode, function calling and embeddings are live through OpenAI-compatible endpoints.
Self-serve plans are flat monthly with unlimited fair use on paid tiers, the free plan covers plugsky-micro and plugsky-lite, and enterprise deployment adds VPC, on-prem and air-gapped options. Current plans are on the live pricing page. What Plugsky does not replicate is xAI's first-party feature set, so a hybrid setup may be correct.
Choosing and migrating
Split your usage into general and xAI-specific workloads. General chat, extraction and classification move easily: change the base URL, map the model name and re-run your evaluation set. Features that depend on xAI's search integration or specific model behaviour stay where they are.
Keep the model name in configuration and measure before and after. Compare structured-output validity and refusal behaviour, not just fluency, because those differences surface in production rather than in demos.
Honest comparison
| Dimension | Plugsky | Grok API | What to verify |
|---|---|---|---|
| Catalogue | 30+ models across families | xAI Grok models | Availability of the models you use |
| API compatibility | OpenAI-compatible | OpenAI-compatible | Parameter and field support |
| Special features | Chat, tools, JSON mode, embeddings | xAI search-oriented features | Feature dependencies |
| Pricing | Flat monthly self-serve plans | Per-token | Cost at your volume |
| Deployment | Cloud, VPC, on-prem, air-gapped | Vendor-hosted | Residency requirements |
| Free access | Free plan with two models plus trial | Promotional access varies | Evaluation budget |
Frequently asked questions
Should I switch from the Grok API to Plugsky?
Only if breadth, flat pricing or private deployment matters more than xAI-specific features. Products built around Grok's unique behaviour should keep those workloads where they are.
Are the APIs compatible?
Both use OpenAI-compatible chat completions in practice, so clients usually migrate by changing the base URL and model name. Re-test tools, JSON mode and streaming per model.
Which has more models?
Plugsky serves a curated catalogue of 30+ models across families, while the Grok API serves xAI models. Compare against the specific models your product needs.
How do pricing models differ?
Grok bills per token; Plugsky self-serve plans are flat monthly with unlimited fair use on paid tiers. Compare at your real volume using the live pricing page.
Does Plugsky support function calling and JSON mode?
Yes, both are live for supported models. Confirm per model before depending on them, because capability varies across a multi-family catalogue.
Can I run both providers side by side?
Yes. Keep xAI-specific workloads on the Grok API and route general workloads to Plugsky, behind one internal interface so either can change later.
What about regulated deployment?
Plugsky offers region choice plus VPC, on-prem and air-gapped deployment. The Grok API is vendor-hosted, so verify its contractual and regional options for your requirements.