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Helicone vs LangSmith Comparison

Last updated:

Helicone

4.6(145 reviews)

Starting at Free free

  • Small Business
  • Mid-Market

Helicone is an open-source LLM observability platform that works as a proxy — developers route their LLM API calls through Helicone's gateway with a single URL change, and it automatically logs every request, tracks cost…

LangSmith

4.5(310 reviews)

Starting at Free free

  • Small Business
  • Mid-Market

LangSmith is the LLMOps observability and evaluation platform built by LangChain for teams developing production LLM applications. It provides tracing, debugging, and evaluation for any LLM application — not just LangCha…

Helicone leads on user satisfaction with a 4.6-star rating across 145 reviews.

Helicone vs LangSmith — at a glance

FeatureHeliconeLangSmith
Rating4.6 / 54.5 / 5
Reviews145310
Starting priceFree freeFree free
Free trial No No
Free version No No
Best forSmall Business, Mid-Market, EnterpriseSmall Business, Mid-Market, Enterprise
CategoryMLOps PlatformsMLOps Platforms
PlatformsCloud, On-PremiseCloud, On-Premise
APIAvailableAvailable
Support modesDiscord Community, GitHub Issues, Email Support, Enterprise SupportDiscord Community, Help Center, Email Support, Enterprise Support

Key differences between Helicone and LangSmith

  • Pricing: Helicone starts at Free free, while LangSmith starts at Free free.
  • User satisfaction: Helicone scores higher with a 4.6-star average.
  • Deployment: Helicone supports Cloud, On-Premise; LangSmith supports Cloud, On-Premise.

Helicone vs LangSmith — find the better fit before you commit.

01

Which tool fits your team best

02

Which is actually cheaper for your team size

03

Where each product wins, per real buyers

Most MLOps Platforms tools look identical on paper. This comparison cuts to the differences that matter — pricing structure, team fit, and what real buyers found after signing up.

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Biggest differences

Start here before you go deeper into features.

Helicone

Best for

Small Business, Mid-Market, Enterprise

LangSmith

Best for

Small Business, Mid-Market, Enterprise

Helicone typically suits Small Business and Mid-Market. LangSmith tends to fit Small Business and Mid-Market better. The right choice depends on your team size, workflow, and whether a free trial matters.

Description

Helicone is an open-source LLM observability platform that works as a proxy — developers route their LLM API calls through Helicone's gateway with a single URL change, and it automatically ... Read More about Helicone

LangSmith is the LLMOps observability and evaluation platform built by LangChain for teams developing production LLM applications. It provides tracing, debugging, and evaluation for any LLM ... Read More about LangSmith

Entry Level Pricing

  • Starts from Free
  • Starts from Free

Free Trial Availability

  • No free trial
  • No free trial

SpotScore

What's this? ↗

9.2/10

9.0/10

User Ratings

Based on verified Spotsaas reviews
Get pricing help
Get pricing help

Where each option fits best

See where each product is strongest, which teams it fits, and what causes buyers to keep looking — before you commit.

Based on buyer reviews and verified product data collected by Spotsaas.

Strengths

Key strengths

Helicone

  • Zero-Code Instrumentation: One URL change instruments every LLM call — no SDK, no decorators, no code changes beyond the base URL.
  • Immediate Cost Visibility: Real-time cost dashboard shows exactly how much each user, feature, or prompt variation is spending — before the cloud bill arrives.
  • LLM Cost Reduction: Built-in prompt caching reduces API calls for repeated inputs, turning the observability layer into a cost-savings tool.

LangSmith

  • Debug LLM Failures Fast: Full call traces with inputs, outputs, latency, and token counts for every LLM call — no more guessing why an AI chain failed.
  • Prevent Prompt Regressions: Automated evaluation runs on datasets catch quality regressions when prompts change, before they reach users.
  • Monitor Production AI Quality: Real-time dashboards track LLM latency, error rates, and output quality — the same visibility layer backend engineers expect for APIs.
Best fit

Best fit

Helicone

  • Indie AI developers and small teams who want instant LLM observability without instrumenting code
  • SaaS companies building per-user AI features who need user-level cost tracking and rate limiting
  • Teams looking to reduce OpenAI bills by adding prompt caching with minimal integration effort

LangSmith

  • AI engineering teams debugging complex multi-step LLM chains that produce unexpected outputs
  • Teams running systematic evaluation of prompt changes before deploying to production
  • ML platform teams building shared observability infrastructure for multiple AI product teams

Software Demo

Demo

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How do Helicone and LangSmith Compare on Features?

Total Features

7 Features

9 Features

Unique Features

No unique features

No unique features

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Compare Helicone and LangSmith on pricing

Review starting price, plan structure, and free-trial access side by side so you can see which option fits your budget and buying process.

Pricing Option

      Starting From

      • Free
      • Free

      Pricing Plans

      • Free

        Free

        • 100k requests/month

        • All providers

        • Dashboard

        Show more +

      • Pro

        $20

        paid

        • 1M requests/month

        • Custom properties

        • Team access

        Show more +

      • Enterprise

        Custom

        paid

        • Unlimited requests

        • SSO

        • On-premise

        Show more +

      • Developer

        Free

        • 5k traces/month

        • All core features

        • Community support

      • Plus

        $39

        paid

        • 100k traces/month

        • Team features

        • Priority support

      • Enterprise

        Custom

        paid

        • Unlimited traces

        • SSO

        • On-premise

        Show more +

      Other Details

      Organization Types supported

          Platforms Supported

              Modes of support

              • 24/7 (Live rep)
              • Business Hours
              • Online
              • 24/7 (Live rep)
              • Business Hours
              • Online

              API Support

              • Available
              • Available
              Get help choosing
              Get help choosing

              Helicone User Reviews & Rating Comparison

              User Ratings

              4.6

              (based on 145 reviews)

              4.5

              (based on 310 reviews)

              Rating Distribution

              0

              0

              0

              0

              0

              0

              0

              0

              0

              0

              Spotsaas Editor’s POV generated by AI

              Buyer sentiment

              Buyer sentiment is very strong across 145 reviews, with consistently positive feedback.

              What buyers like

              • Two-minute integration via proxy — change one URL and every LLM call is automatically logged with zero SDK changes or code instrumentation.
              • Built-in prompt caching and rate limiting turn a logging tool into an active cost-reduction layer, not just observability.
              • Supports every major LLM provider through a single proxy endpoint — no separate integrations per provider.

              Common complaints

              • Proxy architecture adds a network hop to every LLM call — latency-sensitive applications (real-time voice agents) may prefer SDK-based instrumentation.
              • Less sophisticated evaluation and prompt management features than LangSmith or Langfuse — Helicone is strongest on logging/cost; weaker on systematic evaluation.

              Buyer sentiment

              Buyer sentiment is very strong across 310 reviews, with consistently positive feedback.

              What buyers like

              • Framework-agnostic tracing works with any LLM provider (OpenAI, Anthropic, Mistral) and any orchestration framework, not just LangChain.
              • Prompt Hub enables version-controlled prompt management with one-click rollback — replacing ad-hoc string management in code.
              • Evaluation datasets and automated test runs enable regression testing across prompt versions, catching quality regressions before they reach production.

              Common complaints

              • Built by LangChain, so teams using competing orchestration frameworks may find occasional rough edges in non-LangChain integrations.
              • Trace storage costs scale with volume — high-frequency production applications need to budget carefully for trace retention.

              Pros and Cons

              • Two-minute integration via proxy — change one URL and every LLM call is automatically logged with zero SDK changes or code instrumentation.

              • Built-in prompt caching and rate limiting turn a logging tool into an active cost-reduction layer, not just observability.

              • Supports every major LLM provider through a single proxy endpoint — no separate integrations per provider.

              • Proxy architecture adds a network hop to every LLM call — latency-sensitive applications (real-time voice agents) may prefer SDK-based instrumentation.

              • Less sophisticated evaluation and prompt management features than LangSmith or Langfuse — Helicone is strongest on logging/cost; weaker on systematic evaluation.

              • Framework-agnostic tracing works with any LLM provider (OpenAI, Anthropic, Mistral) and any orchestration framework, not just LangChain.

              • Prompt Hub enables version-controlled prompt management with one-click rollback — replacing ad-hoc string management in code.

              • Evaluation datasets and automated test runs enable regression testing across prompt versions, catching quality regressions before they reach production.

              • Built by LangChain, so teams using competing orchestration frameworks may find occasional rough edges in non-LangChain integrations.

              • Trace storage costs scale with volume — high-frequency production applications need to budget carefully for trace retention.

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              Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

              Frequently asked questions

              Which is better, Helicone or LangSmith?
              Helicone edges out the other on user ratings (4.6 vs 4.5). That said, the best pick depends on your use case — use the comparison tables above to evaluate each dimension.
              Do Helicone and LangSmith offer a free trial?
              Neither Helicone nor LangSmith currently lists a free trial.
              What is the starting price of Helicone vs LangSmith?
              Helicone starts at Free free. LangSmith starts at Free free.