Pricing overview

OpenWeatherMap API utilizes a freemium pricing model, offering a Free plan alongside several paid subscription tiers. This structure is designed to accommodate a range of users, from individual developers prototyping projects to businesses requiring high-volume, real-time weather data. The cost is primarily determined by the daily API call limit, the frequency of data updates, and access to advanced weather products and historical data archives.

The core API services, such as current weather data, 5-day/3-hour forecasts, and the One Call API, are available across most plans, with differences in their respective rate limits and data freshness. Higher-tier plans provide increased call allowances, faster data updates, and access to more granular or specialized datasets, which is essential for applications requiring near real-time information or extensive historical analysis. For detailed information on specific plan features, developers can consult the official OpenWeatherMap pricing page.

Plans and tiers

OpenWeatherMap offers multiple subscription plans, each tailored to different usage requirements. The primary distinguishes features between plans include the number of API calls allowed per day, the update frequency of weather data, and access to premium features like minute-by-minute forecasts or more extensive historical data. Plans typically scale in price with increased functionality and capacity.

Plan Comparison Table

Plan Name Monthly Cost Key Limits & Features Best For
Free $0
  • 1,000,000 calls/month (1,000/day)
  • 2-hour data update frequency
  • Current, 5-day/3-hour forecast, One Call API (limited)
  • Limited historical data
Quick prototypes, small personal projects, educational use, testing
Starter $40
  • 40,000 calls/day
  • 1-hour data update frequency
  • Current, 5-day/3-hour forecast, One Call API (full)
  • Access to Weather Maps 1.0
  • 30 days historical data
Small-scale commercial applications, early-stage startups, hobby projects requiring more frequent updates
Developer $200
  • 200,000 calls/day
  • 10-minute data update frequency
  • All Starter features + Road Risk API, Weather Maps 2.0
  • 1 year historical data
Medium-sized applications, businesses needing fresher data for operational decisions
Professional $500
  • 1,000,000 calls/day
  • 10-minute data update frequency
  • All Developer features + Minute-by-minute forecast
  • 5 years historical data
Large-scale applications, enterprises, real-time weather monitoring, logistics
Enterprise Custom
  • Custom call limits
  • Custom data update frequency
  • Dedicated support, SLA
  • All available weather products & historical depth
Major corporations, high-demand applications, critical infrastructure, specialized data needs

Free tier and limits

The OpenWeatherMap Free tier is designed to allow developers to experiment with the API and build basic applications without incurring costs. It provides access to fundamental weather data services, including current weather, a 5-day/3-hour forecast, and a limited version of the One Call API, which consolidates current, forecast, and historical data into a single endpoint. The main limitation of the Free tier is the daily API call cap and the data update frequency. Users are granted 1,000,000 API calls per month, with a daily limit of 1,000 requests. Data is updated approximately every two hours, which may be sufficient for non-real-time applications but is not suitable for scenarios requiring immediate weather insights, such as navigation systems or agricultural monitoring.

For projects requiring more frequent updates, higher call volumes, or access to more specialized weather products like historical data beyond a few days, transitioning to a paid plan becomes necessary. The Free tier serves as a robust entry point for educational projects or initial prototyping, allowing developers to validate ideas before committing to a paid subscription.

Real-world cost examples

Understanding the practical implications of OpenWeatherMap's pricing model can help developers budget effectively for their projects.

Example 1: Small Blog Weather Widget

  • Scenario: A personal blog needs to display the current weather and a 5-day forecast for a specific city on its homepage. The widget updates every hour.
  • API Calls: 24 calls per day (1 call/hour) for each city. If the blog serves 10 cities, that's 240 calls/day.
  • Daily Limit Check: 240 calls/day is well within the 1,000 daily limit of the Free tier.
  • Cost: $0 per month (Free plan). The 2-hour data update frequency on the Free plan might be acceptable, but if an hourly update is strictly required, the Starter plan at $40/month might be considered for its 1-hour update frequency.

Example 2: A Mobile Travel App

  • Scenario: A mobile travel application allows users to check current weather and a 5-day forecast for their destination. The app has 5,000 daily active users, and each user makes 2 API calls per session on average.
  • API Calls: 5,000 users * 2 calls/user = 10,000 calls per day.
  • Daily Limit Check: This exceeds the Free tier's 1,000 daily limit. The Starter plan allows 40,000 calls/day.
  • Cost: $40 per month (Starter plan). This plan provides sufficient calls and a 1-hour data update frequency, which is typically acceptable for a travel app planning across days.

Example 3: Agricultural Monitoring System

  • Scenario: An agricultural system monitors microclimates across 50 fields, requiring current weather data updated every 10 minutes for each field to optimize irrigation and planting.
  • API Calls: 50 fields * 6 calls/hour (for 10-minute updates) * 24 hours = 7,200 calls per day.
  • Daily Limit Check: While 7,200 calls/day is within the Starter plan's 40,000 limit, the 10-minute update frequency is only available from the Developer plan upwards.
  • Cost: $200 per month (Developer plan). The Developer plan provides 200,000 calls/day and the required 10-minute data update frequency, ensuring timely insights for farming operations.

Example 4: Global Logistics and Supply Chain Optimization

  • Scenario: A global logistics company needs real-time weather data for thousands of routes and locations worldwide, requiring high-volume calls and access to specialized weather maps and historical data for predictive analysis. They anticipate 500,000 API calls per day.
  • Daily Limit Check: This volume exceeds the Developer plan's 200,000 daily limit. The Professional plan offers 1,000,000 calls/day.
  • Cost: $500 per month (Professional plan). This plan also provides extensive historical data for analytics and frequent updates crucial for dynamic logistics planning. For even higher volumes or specialized integrations, an Enterprise plan would be negotiated directly with OpenWeatherMap.

How the pricing compares

When comparing OpenWeatherMap API's pricing with alternatives, several factors come into play, primarily the free tier generosity, the cost per API call, data granularity, and feature sets. OpenWeatherMap is generally regarded as a cost-effective solution, especially for its Free and lower-tier paid plans, offering a generous allowance for developers on a budget.

  • Free Tier Competitiveness: OpenWeatherMap's Free plan with 1,000,000 calls/month (1,000/day) is competitive. For instance, Tomorrow.io's free tier is more limited, often restricting specific endpoints or offering fewer calls. Weatherstack also offers a free tier, but its call limits are typically lower than OpenWeatherMap's, and it often has stricter rate limits or requires paid plans for HTTPS.
  • Cost-Per-Call: At higher volumes, OpenWeatherMap's cost-per-call remains competitive, though direct comparisons are complex due to varying features and data accuracies. APIs like AccuWeather API often position themselves for enterprise-grade accuracy and may have higher starting costs or more stringent free tier limitations.
  • Data Freshness and Features: OpenWeatherMap's paid tiers offer increasingly frequent data updates (down to 10 minutes) and access to advanced features like Weather Maps 2.0 and detailed historical data. Some alternatives may offer more specialized datasets (e.g., hyper-local precipitation forecasts) on their mid-to-high tiers, which might justify a different pricing structure. Developers requiring very specific meteorological parameters or ultra-low latency data may find a more specialized but potentially more expensive alternative beneficial. For example, some APIs focus heavily on integrating with specific cloud providers like Google Cloud or AWS, which can impact overall project costs through bundled services or egress fees.

Ultimately, the most cost-effective solution depends on the specific project requirements, including required data refresh rates, geographic coverage, specific weather parameters needed, and the overall volume of API requests.