Opik by Comet vs Helicone
Detailed side-by-side comparison to help you choose the right tool
Opik by Comet
🔴DeveloperLLM Observability & Evals
Open-source LLM evaluation and observability framework: trace, evaluate, monitor, and improve LLM applications.
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FreeHelicone
🔴DeveloperLLM Observability
Open-source LLM observability and AI gateway — logs every prompt, response, cost, and latency across 20+ providers with a one-line proxy or async SDK, plus caching, retries, and prompt experiments.
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FreeFeature Comparison
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Opik by Comet - Pros & Cons
Pros
- ✓Open-source positioning with an Apache-2 tag gives teams a clearer inspection and extensibility path than fully closed LLM observability products.
- ✓Covers both observability and evaluation, which is useful because tracing alone does not tell teams whether an LLM output was actually good.
- ✓Explicitly targets LLM application improvement, not just passive logging, aligning the tool with iterative prompt, evaluation, and monitoring workflows.
- ✓Includes prompt-management as a listed capability, which can help teams connect prompt changes to trace and evaluation results.
- ✓Freemium pricing creates a lower-friction entry point for teams that want to test LLM tracing and eval workflows before committing to a paid platform.
- ✓Backed by Comet branding, which may appeal to teams already familiar with Comet’s machine learning tooling ecosystem.
Cons
- ✗Published Opik pricing now lists plan names, prices, seat counts, span limits, and retention for Open Source, Free Cloud, Pro Cloud, and Enterprise, but buyers should still verify overage rules and contract terms directly before purchase.
- ✗The provided content does not list specific integrations with model providers, orchestration frameworks, vector databases, or deployment environments.
- ✗Teams looking only for simple API logging may find a full evaluation and observability framework more involved than a lightweight request log tool.
- ✗Current pricing information lists enterprise compliance items, but implementation details for data residency, retention controls, SLAs, and security architecture still require direct validation with Comet.
- ✗As an LLM observability and evals tool, it still requires teams to define meaningful evaluation criteria; it cannot automatically determine every product-specific quality standard.
Helicone - Pros & Cons
Pros
- ✓5-minute proxy integration captures full traces, cost, and latency across 20+ providers
- ✓Real AI gateway features (caching, retries, fallback, key vault) replace a custom proxy
- ✓MIT-licensed and self-hostable on Postgres + ClickHouse — passes regulated procurement
Cons
- ✗Proxy mode adds a network hop unless self-hosted in your own region
- ✗Prompt experiment UX is less mature than dedicated eval platforms like Braintrust
- ✗Self-hosting requires running ClickHouse, which is an extra ops surface
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