An open-source AI gateway with request monitoring, cost tracking, caching, fallbacks, prompts, and evaluations
Advisor score
Documented editorial evaluation
The decision
Helicone earns a shortlist for teams that want routing and observability together and can govern a service in the inference path. Start with a bounded workload, keep provider-level escape hatches, and prove that debugging and routing gains exceed added latency, telemetry risk, and platform cost.
Best for
Multi-provider AI application teams; Developers wanting gateway and observability together.
Choose something else if
Sensitive payloads without redaction; Architectures that cannot tolerate a proxy dependency
Evidence
Editorial research pending · 8.0/10
Pricing checked
See current vendor pricing · 2026-08-30
Free access is available, with limits.
Yes. Hobby includes 10,000 requests, 1 GB storage, one seat and organization, and seven-day data retention.
Community choice
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Helicone combines multi-provider routing and observability behind a familiar API, but proxy trust, logged payloads, retention, usage-based costs, and gateway dependency need careful architecture review.
Helicone earns a shortlist for teams that want routing and observability together and can govern a service in the inference path. Start with a bounded workload, keep provider-level escape hatches, and prove that debugging and routing gains exceed added latency, telemetry risk, and platform cost.
Route a small shadow workload through Helicone and a direct-provider control. Seed timeouts, provider errors, sensitive fields, cacheable requests, and fallback conditions. Compare p50 and p95 latency, availability, redaction, cache correctness, cost attribution, debugging time, export completeness, projected monthly charges, and the time required to bypass the gateway.
Personal Recommendation
Helicone earns a shortlist for teams that want routing and observability together and can govern a service in the inference path. Start with a bounded workload, keep provider-level escape hatches, and prove that debugging and routing gains exceed added latency, telemetry risk, and platform cost.
Try the recommendation
Gateway and observability in one platform
Overall Score
Editorial Review Framework
Overall Score
8.0
Ease of Use
8.0
AI Quality
8.0
Features
8.4
Speed
8.0
Integrations
8.2
Value for Money
8.0
Customer Support
7.6
Learning Curve
7.6
Recommended Because…
Gateway and observability in one platform
Scores use a 0-10 editorial scale: 9–10 exceptional, 8–8.9 strong, 7–7.9 capable with material tradeoffs, 6–6.9 limited fit, and below 6 not recommended. Scores publish only when a documented evaluation supports them.
Reusable trial worksheet
Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.
Confirm the tool meets every must-have workflow and stakeholder requirement.
Review starting point: Multi-provider AI application teams; Developers wanting gateway and observability together; Teams needing cost, cache, and fallback controls
Run the same representative work you would use in production; do not score a polished demo.
Review starting point: Complete three to five representative tasks with known acceptable outcomes and compare them with your current process.
Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.
Review starting point: Helicone lists Hobby at $0 with 10,000 requests, 1 GB storage, one seat, and seven-day retention. Pro is $79 monthly, Team is $799, and Enterprise is custom; usage charges can apply above included amounts. Its gateway advertises zero markup on model credits, while bring-your-own provider keys retain direct provider billing. Verify the calculator, retention,…
Define an acceptance threshold, test known answers and edge cases, and record every correction.
Review starting point: Editorial quality signals: features 4.2/5; AI quality 4.0/5. Validate these signals in your own work.
Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.
Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.
Test the real handoffs, permissions, failure states, and export path your team depends on.
Review starting point: OpenAI-compatible API, Anthropic, Azure, OpenRouter, LiteLLM, REST API
Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.
Review starting point: Adds a critical request-path dependency; Payload logging needs strict governance; Subscription excludes model and some usage costs
Loading saved worksheet… · private to this device or your optional account
Evaluation
Research-based
Price posture
freemium
Reviewed
2026-08-30
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
Editorial freshness
Pricing and material product claims were checked August 30, 2026.
Community evidence
Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.
No approved community evidence yet. Be the first verified user to contribute.
Yes. Hobby includes 10,000 requests, 1 GB storage, one seat, and seven days of retention.
Official pricing lists Pro at $79 monthly and Team at $799, with usage-based charges and custom Enterprise packaging.
It can provide pass-through gateway credits at advertised zero markup, or you can bring your own provider keys and keep direct provider billing.
Yes. Helicone is open source and documents self-hosted gateway and on-premises paths; operating infrastructure remains the buyer's responsibility.
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