Athina AI vs Helicone

Athina AI

Evaluation

Helicone

Evaluation

Tagline

Athina AI

Collaborative LLM evaluation and observability platform for teams shipping AI features to production.

Helicone

Open-source LLM observability — one-line proxy install.

Pricing

Athina AI

Freemium· Starter free (10k logs/mo); Pro & Enterprise custom

Helicone

Freemium· Free 100k req/mo; Pro from $25/mo

Free trial

Athina AI

Yes

Helicone

Not listed

API

Athina AI

Yes

Helicone

Not listed

Platforms

Athina AI

apiweb

Helicone

api

Model used

Athina AI

Multi-model

Helicone

Platform (any LLM)

Best for

Athina AI

Pick Athina AI if you need a shared eval and observability layer that PMs, QA, and engineers can all work in without stitching together three separate tools.

Helicone

Pick Helicone when you want one-line LLM observability with no integration work.

Not for

Athina AI

Skip it if you want a fully open-source stack or need self-hosting without committing to an Enterprise contract.

Helicone

Skip it when you need deep eval datasets or your workload can't tolerate a proxy hop.

Editorial score

Athina AI

8.1 / 10

Helicone

8.3 / 10

Use cases

Athina AI

llm-evaluationprompt-managementllm-observabilityproduction-monitoringdataset-experimentation

Helicone

observabilitycost trackingopen source

Pros

Athina AI

• 50+ preset evals plus custom LLM-judge and Python evaluators
• Covers experimentation, evaluation, and production tracing in one workspace
• Free tier with 10k logs/month and unlimited prompts
• Roles for PMs, QA, data scientists, and engineers, not just devs
• Self-hosting available at Enterprise tier

Helicone

• One-line install
• Open source
• Generous free tier
• Cost tracking is genuinely useful

Cons

Athina AI

• Pro and Enterprise pricing is not published
• Self-hosting is Enterprise-only
• Not open source
• Python is the primary first-class SDK

Helicone

• Eval features less deep than Braintrust
• Proxy adds a hop

Website

Athina AI

athina.ai

Helicone

www.helicone.ai

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.