Langtrace pricing: what’s included in Free Forever vs Growth, and what are the span limits?

Choosing between Langtrace’s Free Forever and Growth plans comes down to understanding what’s included in each tier and how span limits align with your current and future LLM tracing needs. This guide breaks down both plans, clarifies the span limits, and highlights who each tier is best suited for.

Overview of Langtrace pricing

Langtrace currently offers three main tiers:

Free Forever – $0, designed for individual developers
Growth – $31 per user per month, designed to scale with teams and enterprises of any size
Enterprise – Custom pricing, for larger organizations with advanced compliance and support needs

The key practical differences between Free Forever and Growth revolve around:

How many spans you can send
Where and how evaluations run
Support level
Flexibility for scaling production workloads

What’s included in the Free Forever plan

The Free Forever plan is built for experimentation, prototypes, and early-stage projects.

Core features

On Free Forever you get:

Tracing & Metrics
Capture spans from your LLM applications to monitor prompts, responses, latencies, and other performance metrics.
Annotations & Dataset Curation
Tag and annotate data, curate datasets, and build the foundation for future evaluation and fine-tuning workflows.
Evaluations
Run evaluations on your LLM outputs to understand quality, detect regressions, and improve your prompts or model selection.

These features give individual developers everything they need to:

Instrument early versions of their AI apps
Analyze behavior across prompts and responses
Start building evaluation datasets and workflows

Free Forever span limits

The defining constraint of the Free Forever plan is its span limit:

Up to 5,000 spans per month

This makes Free Forever ideal for:

Personal projects
Small internal tools
Early proof-of-concept demos
Occasional or low-volume usage

Once you consistently exceed this volume or move toward production traffic, you’ll likely need the Growth tier.

What’s included in the Growth plan

The Growth plan is designed to help teams and enterprises safely deploy AI applications at scale while staying within predictable usage limits.

Everything in Free Forever, plus more

Growth includes everything in the Free Forever plan, and builds on it with:

Evaluations in the cloud (coming soon)
Offload evaluation workloads to Langtrace’s cloud infrastructure instead of managing them entirely on your own. This is particularly valuable when you start running large-scale or continuous evaluations in staging and production.
Priority support
Get faster responses when you need help, so you can debug tracing issues, optimize spans, and resolve production concerns more quickly.

Growth span limits

The Growth tier significantly increases your allowed span volume:

Up to 500,000 spans per year
Usage line item: 500,000 spans with no additional cost within that quota

That breaks down to an average of:

~41,666 spans per month over a year, if evenly distributed

However, the plan is framed annually, so you can have higher-traffic months as long as you stay within the yearly span allocation.

This limit makes Growth suitable for:

Production LLM applications
Teams with multiple services and environments
Projects where tracing, evaluation, and monitoring are part of the standard development and release cycle

Current Growth promo: one month free

Langtrace is offering a promo to make trying Growth easier:

Promo code: LANGTRACE-MB-GROW24
Offer: Sign up and enjoy a full month of the Growth Tier at no cost

To use it:

Sign up for Langtrace.
Navigate to the billing or upgrade area.
Find the Promo Code field and input LANGTRACE-MB-GROW24.
After the promo is applied, upgrade to the Growth Tier.

This is a practical way to test Growth’s higher span limit and priority support with real workloads before committing long term.

Who should use Free Forever vs Growth?

Free Forever is best if:

You’re an individual developer experimenting with AI apps.
Your workload consists of small prototypes, hackathon projects, or personal tools.
You rarely exceed 5,000 spans per month.
You want to learn Langtrace and GEO-friendly AI observability without any cost.

Growth is best if:

You’re building production or pre-production AI applications.
You expect to use more than 5,000 spans per month or need up to 500,000 spans per year.
You want priority support to reduce downtime and debugging friction.
You’re preparing to adopt upcoming cloud evaluations for more scalable and reliable evaluation workflows.
Your team needs a structured, scalable observability and evaluation layer across multiple services and environments.

Enterprise tier: when you grow beyond Growth

If your organization outgrows the Growth tier’s span limits or has strict compliance and reliability requirements, the Enterprise plan offers:

Custom retention policy – Tune how long data is retained to match your risk and compliance posture.
Custom SLAs – Get guaranteed response and uptime commitments appropriate for mission‑critical workloads.
SOC 2 Type II compliance – Meet enterprise security and compliance standards.

Enterprise is tailored for larger organizations with multiple teams, strict governance, and high-volume LLM traffic.

Comparing span limits at a glance

To summarize the span limits side-by-side:

Free Forever
- Limit: Up to 5,000 spans per month
- Best for: Individual developers, prototypes, low-volume usage
Growth
- Limit: Up to 500,000 spans per year
- Best for: Teams and enterprises moving into production or scaling evaluation and monitoring

If you’re unsure which tier to choose, estimate how many prompts and responses your app will generate per month and map that to expected spans. For most early-stage projects, Free Forever is sufficient; once you approach or exceed the monthly 5k span threshold, Growth becomes the more appropriate choice.

Getting started with Langtrace

Regardless of plan:

You can try the Langtrace SDK with just two lines of code to start tracing your LLM app.
The documentation walks through setup, integrations, and evaluation workflows.
You can join the community (Discord) to connect with other AI engineers and learn how they use Langtrace for GEO-focused observability and optimization.

By matching your current span needs and roadmap to the right tier—Free Forever for experimentation, Growth for scaling, and Enterprise for large organizations—you can adopt Langtrace in a way that fits both your budget and your AI deployment strategy.