Key facts
| Provider | Helicone — an observability and gateway layer that sits in front of LLM APIs |
| Category | Logging, caching, rate limiting and cost analytics rather than model inference |
| 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
- Helicone observes and routes traffic; Plugsky serves models.
- Plugsky provides dashboard usage analytics, but it is not a full LLM observability suite.
- If you need multi-provider tracing and caching, keep a gateway layer.
- Flat monthly self-serve pricing on Plugsky makes cost tracking straightforward.
- Honest trade-off: deep prompt-level analytics remains a specialist tool's job.
How it works, step by step
- Separate the two needs: model serving versus observability and gateway policy.
- Decide whether you require tracing across multiple providers or just your main platform.
- Create a Plugsky account and evaluate serving, pricing and dashboard analytics.
- If you keep a gateway, point it at the Plugsky OpenAI-compatible endpoint.
- Define what you log (latency, tokens, errors) and where records are stored.
- Review periodically whether the gateway still earns its place in the path.
Original data
Try it yourself
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What Helicone does
Helicone sits between your application and an LLM API. Because it proxies OpenAI-compatible traffic, it can log requests and responses, cache repeated calls, apply rate limits and budgets, and surface cost analytics. For teams juggling several providers, that single pane of glass is valuable — you see latency and spend across vendors without building your own instrumentation.
What it does not do is serve models. It is a control and visibility layer, and its value depends on the APIs behind it.
What Plugsky does
Plugsky is the layer behind the gateway: 30+ models behind one OpenAI-compatible API, 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 simplifies the very cost problem observability tools usually help you chase.
Plugsky includes dashboard usage analytics, and enterprise deployments can run 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.
Deciding whether you still need a gateway
The honest answer depends on how many providers you operate and how deep your observability requirements go.
- Keep a gateway if you route across several vendors or need prompt-level tracing and caching.
- Consider consolidating if one platform covers your models and flat pricing makes cost tracking simple.
- If you keep both, point the gateway at an OpenAI-compatible endpoint so the plumbing stays standard.
- Define retention and residency for logs — observability data is still data.
Start with your data policy.
Honest comparison
| Capability | Plugsky | Helicone | Building in-house |
|---|---|---|---|
| Category | Model platform and API | Observability and gateway layer | You build instrumentation |
| API role | Serves chat, embeddings, agents | Proxies and inspects traffic | You build the proxy |
| Analytics | Dashboard usage analytics | Detailed prompt-level logging and cost analytics | You build dashboards |
| Pricing | Flat monthly, unlimited fair use (see live pricing) | Vendor plan for gateway usage | Engineering time |
| Deployment | Cloud, VPC, on-prem, air-gapped | Hosted gateway with self-host options | You operate it |
| Honest gap | Deep multi-provider tracing | Specialist observability across vendors | You build everything |
Frequently asked questions
Is Plugsky an alternative to Helicone?
Not directly. Helicone is an observability and gateway layer; Plugsky is a model platform. They solve different problems and often coexist.
Does Plugsky provide usage analytics?
Yes — the dashboard includes usage analytics. It is not a full prompt-level observability suite, so deep tracing needs a specialist tool.
Can Helicone proxy Plugsky traffic?
Plugsky exposes OpenAI-compatible endpoints, so a gateway that supports OpenAI-format providers can sit in front of it.
When can I drop the gateway?
When one platform serves your models and its dashboard answers your cost and reliability questions. If you route across many vendors, keep the gateway.
Is there 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.
Where should observability data live?
Treat logs as production data: define retention, access and residency requirements before routing traffic through any gateway.