Comet Opik
FreemiumEvaluate, test, and ship LLM applications with confidence.
By Tanmay Verma, Founder · Last verified 30 May 2026
3.1k views
Added 6d ago
80/100Safe BetEvaluate, test, and ship LLM applications with confidence.
By Tanmay Verma, Founder · Last verified 30 May 2026
Affiliate disclosure: We earn a commission when you use our links. Editorial picks are independent. How we choose.
A solid open-source option for teams that need end-to-end LLM evaluation and monitoring without vendor lock-in. Best for those comfortable self-hosting.
Last verified: May 2026
Comet Opik stands out as an open-source LLM evaluation platform that prioritizes transparency and control. If your team values data privacy, needs to run evaluations on-premises, or wants to avoid per-token costs, Opik is a strong pick. Its prompt playground and dataset management streamline regression testing. However, if you prefer a fully managed solution with out-of-the-box alerting and dashboards, consider alternatives like LangSmith or Weights & Biases Prompts. Opik's community edition may lack some advanced analytics, and self-hosting requires DevOps overhead. For teams already using Comet's ML experiment tracking, Opik integrates seamlessly, making it a natural extension.
Skip Comet Opik if Skip Comet Opik if you need a fully managed closed-source LLM evaluation platform with minimal setup and no infrastructure overhead.
Blog post compares AI observability tools for agentic systems, likely referencing Opik.
Engineer interview series covering RAG system debugging, featuring Opik.
How likely is Comet Opik to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Comet Opik is an open-source platform for evaluating, testing, and monitoring large language model (LLM) applications. Built for developers and ML teams, it provides a comprehensive suite for prompt engineering, experiment tracking, and LLM evaluation. Key features include a prompt playground for iterative development, automatic tracing and feedback capture for real-time monitoring, and a dataset management system for regression testing. Opik integrates with popular LLM frameworks and supports continuous integration pipelines. Unlike closed-source alternatives, Opik is fully open-source and can be self-hosted, giving teams complete control over their data and workflows.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Concrete scenarios for the personas Comet Opik actually fits — and what changes day-one when you adopt it.
Developer traces a multi-step LangChain application to identify why the model outputs irrelevant context.
Outcome: Spans reveal the retriever returning low-scoring chunks; developer adjusts chunking strategy and validates improvement with evaluation dataset.
Engineer creates a dataset of 100 prompts and evaluates multiple model versions (GPT-4, Claude) side-by-side.
Outcome: Identifies a prompt variant that improves accuracy by 12%; versioned prompt is deployed via CI/CD integration.
Manager sets up real-time dashboards to track latency, token usage, and error rates across model versions.
Outcome: Incidents are caught early; team rollbacks to previous model version with one click from the Comet dashboard.
Opik relies on Comet's backend for storage and collaboration, so self-hosted setups may require significant infrastructure. Free tier is limited to 3 users and 1 GB storage; evaluation features and advanced metrics require a Comet subscription. No built-in support for custom model hosting or fine-tuning.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Comet Opik tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Solo developers and small teams (up to 3 users) exploring LLM evaluation without upfront cost.
What this tier adds
Free entry point: unlimited projects but limited to 3 team members and 1 GB storage.
Team
$49 per user/month (billed annually)
Ideal for
Growing teams needing advanced collaboration, SSO, and more storage for production workloads.
What this tier adds
Adds unlimited team members, 50 GB storage, priority support, SSO/SAML, and audit logs vs. Free tier.
Enterprise
Contact sales
Ideal for
Large organizations requiring on-premise deployment, compliance certifications, and custom integrations.
What this tier adds
Unlimited storage, on-premise deployment, dedicated support, custom contracts, and SOC 2/HIPAA compliance vs. Team tier.
The company stage and team size where Comet Opik's pricing actually pencils out — and where peers do it cheaper.
Comet Opik's free tier is generous for small teams (up to 3 users, 1 GB storage). The Team tier at $49/user/month is competitive with other LLM observability tools like Arize AI ($50/user/month) but expensive for large teams. Startups with limited budgets can self-host the open-source version to avoid per-user fees, though they lose cloud convenience.
How long it actually takes to get something useful out of Comet Opik — broken out by persona, not the marketing-page minute.
For cloud version: sign up and start tracing in under 15 minutes. Integrating Opik into an existing Python app takes a few lines of code (e.g., import opik, decorate functions). Self-hosted setup may take a few hours depending on infrastructure.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Used Comet Opik? Help shape our editorial sentiment research.
© 2026 RightAIChoice. All rights reserved.
Built for the AI community.
Guide on monitoring LLM costs in agentic systems, likely promoting Opik cost tracking.
Last calculated: May 2026
Get up and running fast from comet.com
Durable execution platform for crash-safe AI agents and workflows.
