What is the best Helicone alternative for developers in 2026?

Key facts

Relationship	Plugsky is the inference API; Helicone can proxy it as an OpenAI-compatible upstream
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
Built-in analytics	Usage analytics are available in the dashboard
Deployment	Plugsky cloud, your VPC, on-prem and air-gapped

TL;DR

• Helicone observes and routes traffic; Plugsky serves the models.
• They work together because Plugsky is OpenAI-compatible.
• Plugsky adds flat monthly pricing and sovereign deployment underneath the proxy.
• Built-in usage analytics cover basic monitoring without extra infrastructure.
• Keep Helicone if you need deep tracing, caching and custom dashboards today.

How it works, step by step

1. Decide what you need: model inference, observability, or both.
2. For inference, create a Plugsky key on the free plan and test a workload.
3. If you keep Helicone, add Plugsky as an OpenAI-compatible upstream in the proxy.
4. Verify headers, streaming and tool calls pass through your observability stack.
5. Compare what built-in Plugsky analytics covers against your Helicone dashboards.
6. Choose the split deliberately: specialised gateway, native analytics, or both.

Try it yourself

Open the Helicone API cost calculator →

What Helicone solves

Helicone sits between your application and model providers as a proxy and observability layer. It logs requests, tracks latency and cost, supports caching and rate limiting, and gives teams dashboards they can share with stakeholders. None of that requires Helicone to own the model endpoint, which is why it works with many OpenAI-compatible upstreams.

That distinction matters when evaluating alternatives. If your problem is visibility, the fix is observability, not a different model provider. If your problem is where inference runs and what it costs, the fix is the provider underneath.

Gateway plus provider: a clean split

Plugsky exposes an OpenAI-compatible endpoint, so it can sit behind Helicone like any other OpenAI-style provider. You keep your tracing, budgets and dashboards, and you gain a provider with 30+ models, flat monthly self-serve pricing and deployment options that include your VPC, on-prem and air-gapped environments.

• Add Plugsky as an upstream and route a share of traffic to it.
• Confirm streaming and tool-call payloads appear correctly in your logs.
• Compare spend reporting between the gateway and the provider dashboard.
• Keep keys scoped per environment to simplify rotation.

When native analytics are enough

Plugsky includes usage analytics in the dashboard, which covers basic monitoring: volume, model mix and errors. Teams with simple stacks often find that sufficient once the provider itself is stable. Teams with multi-provider fleets, custom evaluation pipelines or strict audit requirements usually keep a dedicated gateway as well.

Plugsky is not a full observability platform and does not claim to replace one. Audio, images, moderation, files, batch, fine-tuning, assistants and responses are coming soon; chat, streaming, tools, embeddings and agents are live. See the live pricing page for current plans and start on the free tier.

Honest comparison

Concern	Plugsky	Helicone	Typical observability stack
Role	Inference API for 30+ models	Gateway and observability layer	Logging and dashboards
API style	OpenAI-compatible	Proxy in front of providers	Varies
Pricing shape	Flat monthly self-serve	Separate gateway plans	Platform subscription
Analytics depth	Built-in usage analytics	Deep tracing, caching, limits	Custom, needs maintenance
Deployment	Cloud, VPC, on-prem, air-gapped	Hosted or self-hosted	Varies