Key facts
| Provider | Groq — hosted inference on LPU hardware for supported open models |
| API style | OpenAI-compatible endpoints with a free developer tier |
| 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
- Groq optimises latency for a curated set of open models.
- Plugsky optimises catalogue breadth, flat pricing and deployment choice.
- Both are OpenAI-compatible, so testing either is low effort.
- Free plan: plugsky-micro and plugsky-lite; 14-day full-access trial for paid tiers.
- Honest trade-off: for its supported models, Groq's latency remains the benchmark.
How it works, step by step
- Decide whether latency or catalogue breadth dominates your users' experience.
- Create a Plugsky account and map your Groq models to Plugsky equivalents.
- Run the same prompts against both APIs and measure time to first token and completion.
- Check coverage for embeddings, reasoning and long-context tasks.
- Keep Groq for latency-critical paths if measurements justify it.
- Consolidate the rest to simplify billing and operations.
Original data
Try it yourself
Open the Groq cost calculator →
What Groq is good at
Groq's LPU-based inference is designed for speed, and its OpenAI-compatible API makes trying it trivial. A free developer tier lowers the barrier further. For classification, routing, autocomplete and interactive agents, that combination of simplicity and responsiveness is compelling.
The constraints are catalogue and control. Model coverage is limited to what the platform serves, hosting stays in Groq's cloud, and usage-based pricing means cost tracks traffic exactly — which is fine at small scale and harder to predict at large scale.
Where Plugsky fits
Plugsky covers the platform concerns around inference. One OpenAI-compatible API reaches 30+ models, from free chat tiers to frontier reasoning, 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), which suits products with spiky or growing traffic.
Governance is the second difference: Plugsky can deploy in 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.
Combining speed and breadth
Speed and breadth are not mutually exclusive; route by workload.
- Latency-critical, high-frequency calls: keep the fastest platform for the models it supports.
- Reasoning, long context, embeddings and agents: route to a broader catalogue.
- Use one OpenAI-compatible client so failover and experimentation stay cheap.
- Re-measure quarterly — both platforms ship new models regularly.
Instrument both paths with the same metrics from day one. Without comparable logging, the speed question cannot be answered with data, and routing decisions turn into preferences.
Honest comparison
| Capability | Plugsky | Groq | Building in-house |
|---|---|---|---|
| API style | OpenAI-compatible drop-in | OpenAI-compatible with a free developer tier | You define the schema |
| Strength | 30+ models and deployment options | Very low-latency inference on supported models | You build it |
| Catalogue | 30+ models across tiers and tasks | Curated open-model set | You host each model |
| Billing | Flat monthly, unlimited fair use (see live pricing) | Usage-based hosted billing | GPU + ops cost |
| Residency | Region choice, VPC, on-prem, air-gapped | Vendor-hosted cloud regions | You control the infrastructure |
| Free tier | plugsky-micro + plugsky-lite, no card | Free developer tier available | None |
Frequently asked questions
Is Groq faster than Plugsky?
For the models Groq supports on its LPU hardware, latency is its core advantage. Measure your own end-to-end workload before concluding the difference changes your product.
Can I migrate between the two easily?
Yes — both expose OpenAI-compatible endpoints, so switching is typically a base URL and model-name change.
Does Plugsky have a free plan?
Yes — plugsky-micro and plugsky-lite are free with no credit card, and a 14-day full-access trial covers paid models.
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 run Plugsky in my own cloud?
Yes — VPC, on-prem and air-gapped deployments are supported for enterprise customers.
Which has more models?
Plugsky offers 30+ models across tiers; Groq focuses on a curated set tuned for its hardware.
Should I use both?
Many teams keep a latency-specialist for interactive paths and a catalogue platform for everything else.