Open-Meteo vs Weatherbit: API differences, pricing and integration

Compare Open-Meteo and Weatherbit for weather APIs: output, access requirements, billing units and the work needed to switch.

The short answer

Open-Meteo returns variable arrays; Weatherbit returns daily records from a dedicated endpoint. The integration difference is substantial even before evaluating regional accuracy. Compare paid commercial access, not only the public evaluation endpoints.

Choose by the task you need to complete
ProviderA good reason to choose itImportant caveat
Open-MeteoA team choosing explicit weather variables or comparing model output rather than consuming a fixed weather-card payload.The public free service is non-commercial. Commercial subscriptions use a customer endpoint and key; attribution and workload-based call counting still matter.
WeatherbitAn integration with a fixed daily forecast schema that may later need air-quality, agriculture or energy data.The free tier is non-commercial and has a shorter daily horizon. Historical, hourly and specialist endpoints have separate plan requirements.

Side-by-side differences

Open-Meteo vs Weatherbit: documented interfaces, not benchmark scores
RequirementOpen-MeteoWeatherbit
Forecast interfaceSelect hourly/daily variables and weather modelsDaily endpoint; hourly/minutely endpoints are separate
Historical workflowSeparate archive, historical forecast and model-run APIsHistorical endpoints and lookback depend on plan
Location inputLatitude/longitude, including multi-location requestsCoordinates recommended; city/postal alternatives
Response shapeTime/value arrays and unitsA data array of daily forecast records
Production accessCommercial license and customer host for business useCommercial license on paid plans
Cost driverVariables, time range, locations and plan budgetDaily/RPS limits and historical request quota

Pricing: make the units comparable

Billing model and plan checks
ProviderBilling modelWhat to check
Open-MeteoCommercial monthly call budgetsRequests with many variables, locations or long time ranges can count as multiple API calls. Free keyless access is for non-commercial use.
WeatherbitSubscriptions with daily and per-second limitsCompare daily request limits and separate historical quotas. Paid prices were not machine-readable in the reviewed pricing page, so no dollar estimate is asserted here.

For 10,000 location-day lookups, record the requested variables and hourly/daily resolution first. A plan counting calls and a plan counting returned weather records can charge different amounts for the same HTTP request count.

For a buying decision, calculate total spend divided by accepted outputs at your expected volume. Keep free evaluation access, paid production access, annual commitments and overages separate. We have not measured a cost or speed winner for this pair.

What changes in the integration?

Provider endpoints and input mapping
Open-MeteoWeatherbit
Method and URLGET https://api.open-meteo.com/v1/forecastGET https://api.weatherbit.io/v2.0/forecast/daily
AuthenticationNo key for non-commercial public evaluation; apikey on the paid customer hostAPI key in key
Inputslatitude, longitude, hourly variables; optional timezone and forecast_dayslat, lon, key; optional days, units and lang
OutputParallel hourly time/value arrays with explicit unit metadata.JSON data array containing daily weather fields and location metadata.

Open-Meteo: migration check

Zip parallel arrays by index and preserve units. Historical observations, historical forecasts and previous model runs are different datasets; choose one before backtesting.

Weatherbit: migration check

Check the definition of high/low versus max/min temperature and each daily window. Preserve Weatherbit condition codes only inside the provider adapter.

How to test them fairly

  1. Fix ten coordinates across your actual service area. Use the same UTC issue time, units and hourly window for every provider.
  2. Save the forecast before the event. Compare later against an agreed observation source; a successful HTTP response does not establish forecast accuracy.
  3. Check missing values, elevation, timezone boundaries and precipitation accumulation periods before calculating an error statistic.
  4. Measure p50/p95 request latency, throttling and billed units separately from forecast error. Repeat across several weather conditions.
  5. Confirm caching, attribution, redistribution and commercial-use terms for the exact plan. A keyless endpoint is not automatically a commercial entitlement.

Record the plan, request settings, time window and acceptance rules with every run. That makes a later result interpretable when a vendor changes a model, source set or pricing tier.

Prefer a common request format?

All Them APIs · Weather APIsPOST /api/v1/weather/forecast

Review the request contract and tell us the coverage you need. Access requires enablement; this endpoint does not execute or bill requests yet.

View endpoint and request access

Sources and review dates

Documentation reviewed October 28, 2026. These are integration and plan comparisons, not measured speed or accuracy rankings. Availability, licensing and prices should be confirmed for the chosen plan.

Corrections: email faizank@docsalot.dev with an official source.