Comparison · reviewed August 7, 2026

AI Gateway HQ vs. Helicone

Block policy and budget violations ahead of model use, and keep prompt text out of the ledger by default.

  • Pre-dispatch control
  • Operator-ready evidence
  • Prompt storage off by default
Working sandbox capture
A view of the working productThis working product capture shows the settings and records discussed in the Helicone comparison. Open it to inspect the interface.
Why teams choose AI Gateway HQ

Choose AI Gateway HQ when the primary question is ‘should this request be allowed, funded, and routed?’ rather than only ‘what happened afterward?’ Helicone is a strong experimentation and observability product; AI Gateway HQ owns the preventive enterprise decision boundary.

The runtime evaluates identity, signed workload context, risk signals, policy, budget, rate, concurrency, route capability, and provider health before decrypting the selected credential or dispatching upstream.

Capability review

Compare what each gateway does.

Our column describes the working product. The Helicone column summarizes its linked documentation and pricing; it does not rely on anonymous review scores.

Decision areaWhat AI Gateway HQ deliversWhat Helicone documents
Gateway and routing

A compatible endpoint, encrypted BYOK pools, health-aware routing, shared cooldowns, and reason-coded fallback.

OpenAI-compatible gateway across 100+ providers with managed credits, fallback, caching, and integrated observability.

Spend enforcement

Budget and capacity are reserved before forwarding. Settlement uses supported provider-reported usage, and promotional credit cannot fund server-paid models.

Rate limits and cost tracking alongside sessions, prompts, experiments, and request analytics.

Identity and governance

OIDC, required MFA, least-privilege roles, workload keys, signed context, staged enforcement, and local attack screening.

Team controls and Enterprise SAML; the platform is especially deep in developer-facing LLM observability.

Deployment and evidence

AWS serverless deployment behind WAF, tenant-bound encryption, signed releases, metadata-only request records by default, tamper-evident exports, and approved support access.

Managed service with Enterprise self-hosting options.

Public commercial model

A free BYOK proving tier, then $0.10 per 1,000 successful Flex requests. Inference bought through customer-owned accounts has no percentage markup.

Hobby is free for 10,000 requests; Pro lists $79/month, Team $799/month, and Enterprise is custom; managed credits state 0% markup.

When to consider Helicone

Consider Helicone when prompt experiments, sessions, and deep developer observability are more important than minimal-data preventive governance.

Comparison method

We reviewed Helicone's linked documentation and pricing on August 7, 2026. Vendors measure requests, logs, credits, infrastructure, and capacity differently, so compare the underlying units and recheck current terms before purchasing.