[
Comet.ml Reviews
](https://www.g2.com/products/comet-ml/reviews)

[
Comet.ml Reviews
](https://www.g2.com/products/comet-ml/reviews)

# Comet.ml Pricing Overview

[Editedit](https://my.g2.com/comet-ml/pricings)

## Comet.ml Pricing Key Insights

Last updated on Apr 09, 2026

* * *

Comet.ml offers **3 pricing editions** , starting at **$0**. Comet.ml pricing tiers are designed to support different usage levels and team sizes. Higher-tier plans are available via direct consultation with the vendor. Compare the Comet.ml pricing table below to figure out the best fit for your needs.

* * *

Free — $0

Pro — $39 / Per Month

Enterprise — Contact Us

Rated 4.4 / 5

\*Pricing information is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations must be conducted with the seller.

Free

Free

- LLM tracing
- Datasets and experiments
- LLM-as-a-judge metrics
- Unlimited Team Members
- 10k traces per month

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Pro

$39.00

Per Month

- Everything from Free plan
- 100k traces per month
- Generous usage limits
- Unlimited Team Members

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Enterprise

Contact Us

- Includes everything in the Pro Plan
- Unlimited Team Members
- Unlimited traces
- Flexible deployments
- Service accounts and view-only users
- Single sign on
- Dedicated support and SLAs

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Pricing information for Comet.ml is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase Comet.ml must be conducted with the seller.
Pricing information was last updated on November 25, 2024

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## Top-Rated Alternatives

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Weights & Biases

4.5/5(55)

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4.3/5(744)

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[
View All Alternatives
](https://www.g2.com/products/comet-ml/competitors/alternatives)

## Comet.ml Alternatives Pricing

The following is a quick overview of editions offered by other [MLOps Platforms](https://www.g2.com/categories/mlops-platforms)

| Product | Price | Features |
| --- | --- | --- |
| ![Weights & Biases](https://images.g2crowd.com/uploads/product/image/small_square/small_square_ee85a41e986e5c370efe084bbe07576b/weights-biases.png)[Weights & Biases](https://www.g2.com/products/weights-biases/reviews) Personal | Free1 User Per Month | Weights & Biases is free for personal projects. Unlimited Experiments Unlimited Tracked Hours 100 GB storage and artifacts tracking |
| ![Gemini Enterprise Agent Platform](https://images.g2crowd.com/uploads/product/image/small_square/small_square_aeae116c52945fdecd7ed16d621cb315/gemini-enterprise-agent-platform.png)[Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) Try Vertex AI Free | Pay As You GoPer Month | New customers get $300 in free credits to spend on Vertex AI. A unified UI for the entire ML workflow Pre-trained APIs for vision, video, natural language, and more End-to-end integration for data and AI Support for all open source frameworks End-to-end application development environment |
| ![Snowflake](https://images.g2crowd.com/uploads/product/image/small_square/small_square_2b00e05c107c3273cea5264090c3c1d0/snowflake.jpg)[Snowflake](https://www.g2.com/products/snowflake/reviews) Standard | $2Compute/Hour | Compute usage is billed on a per-second basis, with a minimum of 60 seconds. You can secure price discounts with pre-purchased Snowflake capacity options. Complete SQL Data Warehouse Secure Data Sharing across regions / clouds Premier Support 24 x 365 1 day of time travel Always-on enterprise grade encryption in transit and at rest Customer-dedicated virtual warehouses Federated authentication Database replication External Functions Snowsight Create your own Data Exchange Data Marketplace access |

Various alternatives pricing & plans

Pricing information for the above various Comet.ml alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.

## Comet.ml Pricing Reviews
(2)

  

 ![Arvind D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Arvind D.")
AD

Arvind D.

Software Engineer

Enterprise (\> 1000 emp.)

8/5/2026

"Comet.ml Centralizes ML Experiment Tracking with Powerful Dashboards and Collaboration"

5/5

What do you like best about Comet.ml?

What I like best about Comet.ml is how it centralizes the entire machine learning experimentation workflow. It automatically tracks experiments, hyperparameters, metrics, code versions, and system details, making it easy to reproduce results and compare different model runs. The interactive dashboards provide clear visualizations of training progress and performance, which helps identify improvements quickly. I also appreciate the seamless integration with popular ML frameworks, as it requires minimal setup and fits naturally into existing workflows. Collaboration is another major advantage—sharing experiments and reviewing results with team members is straightforward, improving transparency and reducing duplicated effort. Review collected by and hosted on G2.com.

What do you dislike about Comet.ml?

One area where Comet.ml could improve is the learning curve for new users. While it offers many powerful features, understanding the full range of experiment tracking, model management, and collaboration capabilities can take some time. For large projects with numerous experiments, the interface can occasionally feel overwhelming, and navigating extensive experiment histories could be more intuitive. Additionally, some advanced features are available only in higher-tier plans, which may be limiting for smaller teams or individual users. Improving customization options for dashboards and streamlining the user interface would further enhance the overall experience. Review collected by and hosted on G2.com.

What problems is Comet.ml solving and how is that benefiting you?

Comet.ml solves the challenge of managing and reproducing machine learning experiments by automatically tracking model parameters, metrics, code versions, datasets, and system configurations in one place. Instead of manually maintaining experiment logs, I can easily compare multiple training runs, identify the best-performing models, and reproduce results with confidence. It also simplifies collaboration by allowing team members to share experiment results and insights through a centralized platform. This has improved productivity, reduced time spent debugging and organizing experiments, and made the overall machine learning development process more efficient and reliable. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

  

 ![Jeni J.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jeni J.")
JJ

Jeni J.

Software Dev , Ai Agents Builder

Information Technology and Services

Mid-Market (51-1000 emp.)

7/28/2026

"Transforms Experiment Tracking with Ease"

4/5

What do you like best about Comet.ml?

I use Comet.ml to track and compare machine learning experiments, monitor model training, and keep all my metrics, hyperparameters, and model versions organized in one place. I appreciate how it makes the entire development workflow much more reliable. The Comet.ml interface is clean and intuitive, and I love how easy it is to visualize and compare experiments without digging through logs or spreadsheets. The AI-powered observability tools for LLMs make it much easier to trace model behavior, identify issues, and improve performance with confidence. I really appreciate how well Comet.ml integrates with popular machine learning frameworks like PyTorch, TensorFlow, and Hugging Face, which makes adding experiment tracking to existing projects very seamless with just a few lines of code. Comet.ml automatically captures hyperparameters, metrics, model checkpoints, and training curves, saving me time and making it easier to reproduce results, compare runs, and collaborate with teammates. The initial setup was very easy for me. Review collected by and hosted on G2.com.

What do you dislike about Comet.ml?

One area that could be improved is the learning curve for some of the more advanced experiment management and observability features, as it can take a little time to understand everything the platform offers. I'd also like to see more customizable dashboards and reporting options, along with clearer cost visibility for larger teams managing many experiments and LLM evaluations. Review collected by and hosted on G2.com.

What problems is Comet.ml solving and how is that benefiting you?

I use Comet.ml to track and compare machine learning experiments, debug LLM applications, and organize metrics. It helps me reproduce results, debug performance issues, and collaborate efficiently, making the ML development workflow more reliable and reproducible. Review collected by and hosted on G2.com.

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Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. G2 Icon
7/30/2026
Current UserValidated ReviewerIncentivizedSource: G2 invite

Comet.ml Comparisons

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4.5/5(55)

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4.6/5(1,366)

[
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