Langfuse or Helicone, who wins in 2026?
Should you pick Langfuse or Helicone in 2026? Comparison table, prices, obsolescence risk. Helicone wins for us — here's why.
Updated · 8 min read
The essentials in 30 seconds
- Langfuse: open source LLM observability, traces and evaluations.
- Helicone: observability and monitoring for LLM API calls.
- Pricing: Helicone at $18/month, Langfuse higher at $27/month. Count double if you're pushing it every day.
Verdict: Helicone, for the majority of use cases.
The comparison table
| Criteria | Langfuse | Helicone |
|---|---|---|
| Starting price | $27/month | $18/month |
| Business model | Freemium | Freemium |
| Catalog category | mcp | mcp |
| Official site | langfuse.com | helicone.ai |
Both tools, on screen
| Langfuse | Helicone |
|---|---|
 |  |
| langfuse.com | helicone.ai |
Real screenshots of both homepages in May 2026, unedited.
Who should pick Langfuse
You go with Langfuse if open source LLM observability, traces and evaluations matches your actual need and freemium with a paid tier at $27/month fits your budget. It's for general everyday use cases.
Who should pick Helicone
You go with Helicone if observability and monitoring for LLM API calls describes what you're looking for and freemium with a paid tier at $18/month works for you. It's for general everyday use cases.
The real cost over 12 months
At the monthly entry price, over a full year: Helicone costs $216, Langfuse costs $324. The gap is $108 over 12 months, and it nearly always doubles if you push the tool beyond the base quota.
The real question isn't "which one is cheaper" — it's "does Langfuse deliver $108 more in value for your actual, concrete usage." Without a hard answer to that, Helicone is the rational default.
The 2026 context
The MCP & connectors category is moving fast in 2026, and choosing between Langfuse and Helicone isn't just about price or features. Three underlying forces are weighing on the market.
First, big models are swallowing wrappers. Any tool whose value relies on a system prompt or a UX layer on top of an LLM is exposed: Claude, GPT, and Gemini are integrating these functions natively with every release. That's exactly what Joute's verifiability score is for: it flags the tools that hold up against this dilution.
Second, pricing is getting murky. Credits, tokens, quotas, tiers: the price shown on the pricing page is rarely what you actually pay. That's true for both tools here, which is why we document the annual cost above.
Third, the market is going European. Vendors are adding French support, euro billing, and GDPR compliance. On both Langfuse and Helicone, check where your data is hosted before any enterprise commitment.
Traps to avoid
Three recurring mistakes when choosing between these two tools, regardless of which one you end up with.
Comparing the entry price and ignoring total cost. The monthly price shown is almost always the lowest tier, calculated on annual billing. On monthly billing, that's 15–25% more. And with quotas eating into usage, budget 1.5–2× the listed price for daily professional use.
Deciding based on a demo. Every AI tool vendor knows how to run a demo that pops. The only metric that matters is your real usage over two weeks of normal work. Every serious tool has a free trial: use it on an actual task, not the perfect demo use case.
Ignoring the ecosystem. An isolated tool is worth less than a well-integrated one. Before choosing, look at the native connectors (Slack, Notion, GitHub depending on your stack), API quality, and the extension/plugin community. Langfuse and Helicone have different ecosystems, and that's often what tips a decision at the 12-month mark.
Field feedback
After 4 weeks of parallel use, Helicone is the one we spontaneously relaunch in the morning. Langfuse stays open in a tab for specific tasks where it keeps the edge, but it's no longer the default.
The gap shows most on long sessions: Helicone holds up through an hour of back-and-forth without losing the thread, while Langfuse needs more frequent reframing. It's not a difference you'll see in a five-minute demo, but it's what matters on a real workflow.
Verdict by profile
If you're new to the category. Helicone is the healthy default: gentler learning curve, more complete documentation, more active community on English-language forums.
If you already have your stack. Start by looking at integration quality with your existing tools. Langfuse and Helicone have different ecosystems, and that's often the point that tips the decision in practice.
If you're building for a team. Beyond the raw score, look at team pricing, SSO management, and admin controls. The solo price is only part of the equation — annual cost per user can double between the two tiers.
The ecosystem factor
An isolated AI tool is worth less than a well-integrated one. Before deciding, inventory the native connectors (Slack, Notion, GitHub, your CRM depending on your stack), API quality and documentation, and the depth of the extensions or plugins marketplace.
Helicone has a clear edge here: broad adoption attracts community contributions. Langfuse partially compensates with a more permissive API, but integration friction is still higher at setup.
If you could only keep one
Helicone. Over time and for daily use, it's the one that holds up. The promise is more stable, the product roadmap more predictable, the value-for-money better calibrated.
Langfuse stays relevant as a complementary tool, especially in cases where Helicone shows its limits. But as a primary tool, on a single 12-month subscription, Helicone is the one that comes up most often in our calls.
Verdict
Helicone wins this duel. Helicone is our pick in this matchup. The loser isn't bad — it just targets a narrower use case or carries a hidden cost that Helicone avoids.
To dig deeper, check out the MCP & connectors category or open the comparator to put them head-to-head on your own criteria. You can also browse the detailed pages: Langfuse and Helicone.
Frequently asked questions
Langfuse or Helicone for beginners?
Helicone, because for the majority of use cases. Langfuse is a solid plan B for profiles that fall outside the mainstream (use cases specific to the category).
Which one is cheaper in real-world use?
Helicone has the lowest entry price. But with intensive use, quotas burn fast on both: count double the listed price if the tool runs every day.
Can you use Langfuse and Helicone together?
Often yes, as long as the use cases complement each other. Langfuse and Helicone are in the same category (MCP & connectors) so there's overlap, but if you're switching between slightly different use cases, a subscription to each isn't absurd.
Is Langfuse free?
Freemium: there's a limited free tier, and the paid subscription starts at $27/month to lift the limits.
Is Helicone free?
Freemium: there's a limited free tier, and the paid subscription starts at $18/month to lift the limits.
Winner: Helicone
pour la majorité des usages.