Freeplay
An operations platform for observing, evaluating, and testing LLM products, with prompt, dataset, and review workflows in the same system.
About Freeplay
Freeplay gives teams building LLM products one place to observe production behavior, run evaluations, test changes offline, and manage prompts, models, datasets, and human review. Its observability views move between individual completions, multi-step traces, and full user sessions. Cost, latency, usage, feedback, and evaluation results sit together, which helps teams choose the next experiment from actual production behavior. The customizable playground supports prompt and model comparisons, while datasets make those checks repeatable before release. Freeplay works with common providers such as OpenAI, Anthropic, Google Vertex, AWS Bedrock, and Groq. Enterprise customers can also use self-hosted models. This setup fits engineering and product teams that want monitoring and testing to feed the same improvement cycle. The Free plan covers one project and moderate usage. Teams that need more projects or volume should account for Growth pricing from $500 per month, while Enterprise requires a custom quote.
Best for
Best use cases
Monitor production completions, traces, sessions, cost, and latency
Test prompt and model changes against datasets before release
Combine automated evaluations with human labels and custom metrics
Compare before choosing
Free supports one project and 10,000 monthly completions at no cost
Growth starts at $500 monthly and raises project, completion, and test-run allowances
Enterprise adds custom scale, deployment choices, and enterprise identity support
Features
Production observability
Inspect completions, traces, and sessions to find quality issues, latency bottlenecks, cost shifts, and usage patterns.
Evaluation workflows
Run automated evaluations and combine their results with human labels and custom metrics in a shared view.
Offline testing
Test prompt or model changes against datasets before changes reach production users.
Prompt and model management
Organize prompt versions and compare supported models in a customizable playground.
Human review
Route examples through labeling and review workflows so team feedback becomes structured evaluation data.
Pros
- The $0 plan gives small teams one project, 10,000 monthly completions, and 90 days of retention without an upfront subscription.
- Observability spans completions, traces, and sessions, so teams can investigate both individual calls and multi-step agent behavior.
- Support for common model providers reduces friction when a team compares OpenAI, Anthropic, Google Vertex, AWS Bedrock, or Groq.
- Evaluations, datasets, experiments, and human review share one workflow, reducing handoffs between separate tools.
Cons
- Growth starts at $500 per month, which can be a substantial jump for a team that outgrows the Free plan.
- The Free plan is limited to one project and 10 test runs per month, which constrains frequent experiments across several applications.
- Enterprise pricing is custom, so buyers need a sales conversation before they can estimate the full deployment cost.
- Self-hosted models and flexible deployment options are reserved for Enterprise, limiting infrastructure choices on lower tiers.
Pricing Plans
Free
- Unlimited team users
- 1 project
- 10,000 completions per month
- 10 test runs per month
- 90 days of data retention
- Common model providers
- Multi-tenant deployment
Growth
- Unlimited team users
- Starts at 5 projects
- Starts at 100,000 completions per month
- Starts at 50 test runs per month
- Custom data retention
- Common model providers
- Multi-tenant deployment
- 14-day trial
Enterprise
- Unlimited team users
- Unlimited projects
- Starts at 500,000 completions per month
- Unlimited test runs
- Custom data retention
- Self-hosted model support
- Self-hosting, single-tenant, or multi-tenant deployment
- Enterprise SAML or OIDC
- 30-day trial
* Pricing information is for reference only. Please refer to the latest announcement on Freeplay's official website.