Helicone Pro costs $79 per month. For that price, you get unlimited seats, alerts, 1-month data retention, and up to 1,000 logs per minute. But here's the problem: Helicone was acquired by Mintlify in March 2026, and the product is now in maintenance mode. You're paying $79/mo for a tool that isn't shipping new features.
Let's break down exactly what each Helicone tier includes, where the hidden costs are, and whether your money is better spent elsewhere.
TL;DR
- Helicone Pro is $79/mo with 1-month retention and no hard spending caps
- The Mintlify acquisition (March 2026) put Helicone in maintenance mode — no new features
- Budget-first alternatives like Tokonomics offer hard caps and alerts at $49/mo
- LLM API prices dropped ~80% since early 2025, but monitoring costs haven't followed
What Does Each Helicone Tier Actually Include?
In 2026, the LLM observability market hit $2.69 billion, growing at 36.3% CAGR (Grand View Research, 2026). Helicone carved out a niche as a developer-friendly observability layer, but its pricing hasn't kept pace with the market. Here's what each tier gets you:
Free — $0/mo
- 10,000 requests per month
- 1 organization seat
- 7-day data retention
- 10 logs per minute
- Basic dashboards
Pro — $79/mo
- Unlimited requests
- Unlimited seats
- Alerts and reports
- 1-month data retention
- 1,000 logs per minute
Team — $799/mo
- 5 organizations
- SOC-2 and HIPAA compliance
- 3-month data retention
- 15,000 logs per minute
Enterprise — Custom pricing
- SAML SSO
- On-premise deployment
- Unlimited data retention
The jump from Free to Pro is steep — $0 to $79 with no middle option. And the jump from Pro to Team ($799/mo) is brutal if all you need is longer retention or compliance docs.
Where Are the Hidden Costs?
Average monthly AI spending hit $85,521 per company in 2025, a 36% year-over-year increase (CloudZero, 2025). Helicone helps you see that spending. It doesn't help you stop it.
That's the core gap. Helicone is an observability tool, not a budget enforcement tool. Here's what's missing:
- No hard spending caps. You can set alerts, but there's no way to automatically block API calls when you hit a budget limit. A runaway batch job at 3am will drain your OpenAI balance before anyone reads the alert email.
- No per-feature cost isolation. You can tag requests, but there's no built-in way to set per-tag budgets or caps. If your chatbot feature is burning through tokens, you'll know after the fact.
- 1-month retention on Pro. If you need to compare Q1 vs Q2 spending, you're out of luck unless you're on Team ($799/mo). Most finance teams need at least 90 days.
- No rate limiting. Helicone doesn't throttle requests per key or per minute. You'll need to build that yourself or use a separate tool.
For teams spending under $5,000/mo on LLM APIs — which is most startups and agencies — these gaps matter more than tracing and prompt debugging.
How Does Helicone Compare on Price?
LLM API prices dropped roughly 80% between early 2025 and early 2026, with GPT-4o input now at $2.50 per million tokens. Monitoring tools haven't followed suit. Here's how Helicone stacks up against alternatives:
| Tool | Price | Key strength | Retention | Hard caps |
|---|---|---|---|---|
| Helicone Pro | $79/mo | Observability, tracing | 1 month | No |
| Tokonomics Pro | $49/mo | Budget enforcement | 90 days | Yes |
| LangSmith | $39/seat/mo | LangChain ecosystem | 14 days | No |
| Portkey | $49/mo | Enterprise AI gateway | 30 days | No |
| Langfuse | Free (self-host) | Open-source tracing | Unlimited | No |
Helicone is the most expensive managed option that doesn't include hard budget caps. If your primary concern is "don't let my AI bill surprise me," you're paying a premium for features you don't need (prompt traces, evaluations) while missing the one you do (automatic spend cutoff).
What Happened After the Mintlify Acquisition?
Mintlify acquired Helicone in March 2026. Since the acquisition, Helicone's product has entered what the industry calls "maintenance mode" — the service stays up, existing features work, but the roadmap is effectively frozen.
This matters for three reasons:
- No new integrations. As new LLM providers launch (xAI's Grok, Google's Gemini 2.5, DeepSeek), Helicone isn't adding first-day support. You're stuck with whatever providers were supported at acquisition time.
- Support response times. Community reports suggest longer response times on support tickets. Mintlify's team is focused on their documentation product, not on Helicone's observability stack.
- Pricing lock. There's been no pricing adjustment despite the 80% drop in underlying LLM API costs. You're paying 2025 prices for a 2024 feature set.
If you're evaluating Helicone today, you're betting that Mintlify will invest in a product that isn't their core business. That's a risky bet for a tool that sits in your critical API path.
Who Should Still Use Helicone?
Helicone still makes sense for a narrow set of use cases:
- Teams already deeply integrated. If your codebase uses Helicone's Python SDK with custom properties, prompt versioning, and A/B testing hooks, the migration cost might outweigh the savings. But start planning your exit.
- Prompt engineering teams. If your primary need is tracing, debugging, and evaluating prompt quality — not cost control — Helicone's playground and logging are solid. LangSmith is better for this now, though.
- SOC-2/HIPAA requirements. If you need compliance certifications and can justify $799/mo for the Team plan, Helicone is one of the few tools that offers this. Portkey is the main competitor here.
For everyone else — SaaS founders watching margins, agencies billing per client, startups reporting to boards — there are better options at lower prices.
What Should You Use Instead?
The right replacement depends on what you actually need:
If you need budget enforcement first: Tokonomics gives you hard spending caps, per-key budgets, Slack/Teams alerts, and 90-day retention for $49/mo. It's language-agnostic (any HTTP client, any stack) and adds ~31ms of proxy latency — 3.6% overhead on a typical LLM call. The trade-off: no prompt tracing or evaluation features.
If you need observability and can self-host: Langfuse is open-source and free. You get tracing, prompt management, and evaluations. The trade-off: you own the infrastructure, and there's no managed option with SLAs.
If you're in the LangChain ecosystem: LangSmith at $39/seat/mo integrates natively with LangChain and LangGraph. The trade-off: per-seat pricing adds up fast, and 14-day retention is the shortest in the market.
If you need an enterprise AI gateway: Portkey at $49/mo offers semantic caching, load balancing, and fallback routing across providers. The trade-off: it's more complex than most teams need.
Frequently Asked Questions
Is Helicone still actively maintained in 2026?
Helicone was acquired by Mintlify in March 2026 and is currently in maintenance mode. The service runs and existing features work, but no significant new features or integrations have shipped since the acquisition. Existing users report longer support response times.
Can I use Helicone's free tier for production?
The free tier caps at 10,000 requests per month with 7-day retention and 10 logs per minute. That's enough for a prototype or small side project, but the rate limit (10 logs/min = 600/hour) will bottleneck any production workload with concurrent users.
How do I migrate from Helicone to Tokonomics?
Replace Helicone's proxy URL with Tokonomics's endpoint. Both work as proxies — your LLM API calls pass through unchanged. Tokonomics uses a mk_ prefixed API key in the Authorization header. Most migrations take under 30 minutes. See our getting started guide for step-by-step instructions.
Does Helicone offer annual billing discounts?
Helicone offers a 50% startup discount for the first year if you qualify. There's no published annual billing discount for standard customers. At $79/mo, you're paying $948/year for Pro — compared to $588/year for Tokonomics Pro with more retention and hard caps included.
All sources retrieved June 2026. Prices and features may change — verify on each vendor's pricing page before purchasing.