Helicone and Arize AI are both strong contenders in the LLM observability space, each with unique strengths. Helicone boasts a higher user satisfaction with an average rating of 4.5/5 albeit from only 2 reviews, and an active GitHub community with 5,406 stars. Arize AI, on the other hand, excels with a broader feature set and a large user base, reflected in its 9,104 GitHub stars and a $131M Series C funding, indicating strong market confidence.
Best for
Helicone is the better choice when your focus is on strong integrations with platforms like OpenAI and educational project support with budget constraints, as it offers a freemium pricing model.
Best for
Arize AI is the better choice when you require a comprehensive tool for complex AI infrastructure with robust features and can benefit from its strong scalability and technical sophistication.
Key Differences
Verdict
For teams prioritizing budget management and educational implementations, Helicone is an appealing option due to its flexible pricing and broad compatibility with popular platforms. However, for larger organizations aiming for extensive AI model monitoring and optimization, Arize AI offers greater capabilities and scalability, justifying its more comprehensive feature set and larger initial investment. Both tools have their merits and should be chosen based on specific organizational needs.
Helicone
AI Gateway & LLM Observability
Helicone appears to be well-regarded, achieving positive ratings of 4/5 and 5/5 on G2, indicating user satisfaction with its functionality. Users highlight its integration within the domain of LLM (Large Language Model) tools, although it seems to have its own tracing format, which may add complexity in environments where standardization, like OpenTelemetry, is present. While pricing specifics are not detailed, the overall sentiment regarding value appears to be positive, given the high ratings. Helicone has a solid reputation, with notable mentions across multiple platforms, suggesting a strong presence and interest in its capabilities.
Arize AI
Unified LLM Observability and Agent Evaluation Platform for AI Applications—from development to production.
Arize AI is widely praised for its advanced capabilities and integration in AI infrastructure, with strong satisfaction reflected in consistent high ratings from users on platforms like g2. Users appreciate its technical sophistication and benefits for autonomous agent deployment. Some minor complaints arise regarding the learning curve or complexity associated with its use. Pricing appears to be acceptable given the tool's robust features, contributing to its positive overall reputation in AI model monitoring and optimization communities.
Helicone
-50% vs last weekArize AI
Not enough dataHelicone
Arize AI
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Helicone
Pricing found: $79, $799, $5, $100
Arize AI
Pricing found: $50, $10, $3
Helicone (9)
Arize AI (1)
Only in Helicone (1)
Only in Arize AI (10)
Shared (5)
Only in Helicone (14)
Only in Arize AI (14)
Helicone
What do you like best about Helicone?Track usage, costs, and latency metrics with one line of codes. Review collected by and hosted on G2.com.What do you dislike about Helicone?How long it takes to scan the computer while doing the upload. Review collected by and hosted on G2.com.
What do you like best about Helicone?It's actually a great Open-source and cheap Platform for tracking different LLM usage, and can also create alerts on LLM responses. It supports multiple LLMs, including open-source ones. You'll get 100,000 free token uses. It's easy to implement and also offers great customer support. I use it more to integrate it into my projects. Review collected by and hosted on G2.com.What do you dislike about Helicone?The issue is that there are numerous alternatives, and implementing a custom LLM proxy on a framework like Axflow is challenging. The Experiment features are yet to be introduced, so we'll have to wait and see how go it is. Review collected by and hosted on G2.com.
Arize AI
What do you like best about Arize AI?Custom Code Evaluator and Live tracing projects. Review collected by and hosted on G2.com.What do you dislike about Arize AI?when you choose to run 10/20 rows in the playground by selecting the dataset. Instead of first 10 rows it randomly runs any 10 examples. Which doesn't helps with the consistency in running the evals Review collected by and hosted on G2.com.
What do you like best about Arize AI?I like how accessible it is to view traces, spans, and sessions, along with the evaluation methods. It’s also helpful that I can access them either through the UI or even offline. The filtering of data also makes it very easy to view the required spans, traces and sessions. Also the trace tree feature is very helpful to view the kind of each span. Review collected by and hosted on G2.com.What do you dislike about Arize AI?There’s really nothing to dislike. The only thing I’d change is making the filtration a bit simpler, because it took me a while to understand. Once I got how the filtration works, though, I was able to connect without any issues. Review collected by and hosted on G2.com.
What do you like best about Arize AI?The product is crisp and I understood how it operates through courses. It has almost got everything for model monitoring and other important features. It helps in all the for ML operations. Review collected by and hosted on G2.com.What do you dislike about Arize AI?Arize AI, if I am not wrong is like a dashboard. It would have been better if there was an API sort of thing where we can leverage the features through a package. Review collected by and hosted on G2.com.
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No complaints found
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No data
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No YouTube channel
Arize AI
AI Builders Meetup - San Francisco
Apr 7, 2026
From Build to Production: Engineering Reliable AI Agents with Google and Arize
Apr 6, 2026
Boost Claude Code performance with prompt learning - optimize your prompts automatically with evals
Apr 3, 2026
How to Manage LLM Context Windows for AI Agents
Mar 19, 2026
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Arize AI
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Helicone
OpenTelemetry just standardized LLM tracing. Here's what it actually looks like in code.
Every LLM tool invents its own tracing format. Langfuse has one. Helicone has one. Arize has one. If...
Arize AI
Engineering the Autonomous Local Enterprise: A Technical Blueprint for Agentic RAG and Sovereign AI Infrastructure
# Engineering the Autonomous Local Enterprise: A Technical Blueprint for Agentic RAG and Sovereign AI Infrastructure The transition from reactive large language model applications to autonomous agentic workflows represents a fundamental paradigm shift in enterprise computing. In the 2025–2026 techn
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Arize AI is better for complex and large-scale LLM integrations due to its advanced feature set and comprehensive platform support.
Helicone offers a more flexible pricing model with freemium options, while Arize AI follows a subscription-based model with tiered pricing starting at $3.
Arize AI has a more substantial community with 9,104 GitHub stars compared to Helicone's 5,406 stars, indicating broader user support and engagement.
Yes, both tools can complement each other, particularly if a team wishes to leverage Helicone's cost-effective observability while utilizing Arize AI's advanced analytical capabilities.
Helicone may offer a smoother initial setup thanks to its lighter structure and slightly higher user satisfaction, whereas Arize AI may require more onboarding time due to its robust feature set.
