How much does Athina AI cost?

Athina AI offers a free Starter tier with 10k logs per month and unlimited prompts. Pro and Enterprise plans have custom pricing. Self-hosting and SOC-2 compliance are only available on the Enterprise plan.

Which LLM providers does Athina AI integrate with?

The platform is model-agnostic and integrates with Azure OpenAI, AWS Bedrock, and custom model endpoints. It supports multi-model workflows, allowing teams to evaluate and monitor various LLMs within a single shared workspace.

Is Athina AI suitable for non-technical team members?

Yes, it is designed as a shared workspace. Product managers can use a no-code AI flow builder, while QA teams access annotation UIs. Data scientists can perform SQL-style dataset analysis, making it accessible beyond just engineers.

Can I self-host Athina AI?

Self-hosting is only available for Enterprise customers. Non-Enterprise users cannot self-host, which may be a constraint for teams with strict data-residency requirements who do not commit to an Enterprise contract.

What evaluation methods does Athina AI support?

It offers 50+ preset evals, including OpenAI and Ragas metrics. Users can also create custom LLM-as-a-judge or Python-function evaluators. The platform supports continuous online evals that run against live production logs for ongoing monitoring.

Athina AI

✓ Editorially verified

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

Freemium· Starter free (10k logs/mo); Pro & Enterprise customEvaluationMulti-model8.1 / 10

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In short

Athina AI is a collaborative LLM evaluation platform for teams, offering 50+ preset evals, human annotation, and production tracing. It supports multiple models and roles, with a free tier and custom enterprise pricing.

Best for

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.

Skip if

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

Athina AI is an end-to-end evaluation and monitoring platform for LLM applications, covering the full lifecycle from prompt experimentation through production tracing. It offers 50+ preset evals (including OpenAI and Ragas metrics), custom LLM-as-a-judge or Python-function evaluators, human annotation queues for QA teams, and continuous online evals that run against live production logs.

What sets Athina apart is that it tries to be a shared workspace rather than a developer-only tool: product managers get a no-code AI flow builder, data scientists get SQL-style dataset analysis, QA teams get annotation UIs, and engineers get SDKs and a GraphQL API. Pricing starts with a free Starter tier (10k logs/month, unlimited prompts), then jumps to custom-priced Pro and Enterprise plans, with self-hosting and SOC-2 gated behind Enterprise.

Integrations span Azure OpenAI, AWS Bedrock, and custom model endpoints, and the platform is model-agnostic by design. The main caveat is that pricing above the free tier is opaque, and non-Enterprise customers can't self-host, which is a real constraint for teams with strict data-residency requirements.

Editor's take

Athina is one of the more mature dedicated LLM eval platforms, and the cross-functional focus is genuinely useful once you have non-engineers signing off on prompt changes. The free tier is generous enough to trial seriously, but the opaque paid pricing and Enterprise-gated self-hosting will push some teams toward open-source alternatives like Langfuse.

— The AI Tool Bible editorial team

Pros

✅ 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

Cons

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

Use cases

llm-evaluationprompt-managementllm-observabilityproduction-monitoringdataset-experimentation

Frequently asked

How much does Athina AI cost?: Athina AI offers a free Starter tier with 10k logs per month and unlimited prompts. Pro and Enterprise plans have custom pricing. Self-hosting and SOC-2 compliance are only available on the Enterprise plan.
Which LLM providers does Athina AI integrate with?: The platform is model-agnostic and integrates with Azure OpenAI, AWS Bedrock, and custom model endpoints. It supports multi-model workflows, allowing teams to evaluate and monitor various LLMs within a single shared workspace.
Is Athina AI suitable for non-technical team members?: Yes, it is designed as a shared workspace. Product managers can use a no-code AI flow builder, while QA teams access annotation UIs. Data scientists can perform SQL-style dataset analysis, making it accessible beyond just engineers.
Can I self-host Athina AI?: Self-hosting is only available for Enterprise customers. Non-Enterprise users cannot self-host, which may be a constraint for teams with strict data-residency requirements who do not commit to an Enterprise contract.
What evaluation methods does Athina AI support?: It offers 50+ preset evals, including OpenAI and Ragas metrics. Users can also create custom LLM-as-a-judge or Python-function evaluators. The platform supports continuous online evals that run against live production logs for ongoing monitoring.