A Raspberry Pi 4’s recurring electricity cost for a 24/7 YouTube stream is the energy it uses at the wall multiplied by your electricity rate. A cloud service has a different cost model: a prerecorded-video relay may charge a monthly fee, while a managed encoding API bills for configured processing and output.
For a rough starting point, Raspberry Pi’s published reference readings imply about 1.78–4.89 kWh over 30 days. Those are not measurements of a Pi running your exact stream. Use a wall meter on the assembled setup if you want a useful estimate for your tariff, then compare services that do the same job.
Define the Pi 4 workload and comparison
The first question is what “24/7 stream” means in your case. If you want the same recorded bhajan, ambience video or local information loop to play continuously, the Pi may be replaying a file and sending a live feed to YouTube. If you want to capture a camera, mix changing scenes, or encode a live production, the Pi has a different workload. A cost comparison is meaningful only when the compared options perform the required job.
A prerecorded relay and a managed live-encoding API are not two prices for an identical product. A relay service may accept your uploaded file and keep a loop going to YouTube. A live API can take an active input, process it into configured outputs, and charge by active channel time and resolution. A simple replay creator may not need the latter; a production needing managed live processing may not be served by the former.
The Pi also needs more than a board. Count its power supply, storage, network connection, any cooling, and any USB peripherals or capture equipment. For a fixed uploaded video, these may be modest. A camera or capture device can change both the power draw and the technical work. The Raspberry Pi course-streaming guide is a useful companion if you are considering a Pi for a recorded-video loop.
YouTube’s own encoder guidance concerns the outgoing stream, not your electricity bill. Its recommended H.264 settings include 8 Mbps for 720p30 and 14 Mbps for 1080p30. These are relevant to your upload capacity and stream setup, but an Mbps figure cannot be converted directly into the Pi’s power draw. YouTube also recommends testing with representative content and monitoring stream health.
Measure average wall-side power
A board’s power-supply rating is not its constant consumption. A supply capable of delivering a particular wattage gives the Pi capacity to draw power when required; it does not mean the setup draws that amount every hour. For a running-cost estimate, measure the complete arrangement at the wall, including the power adapter and attached devices.
Use a plug-in energy meter that reports watts or accumulated kWh. Connect the Pi, its regular storage and peripherals, and its usual power supply as you will run them. Leave the monitor, keyboard and mouse disconnected if they will not be present during normal operation. If you do use a powered USB drive, fan or capture device, include it. Let the setup settle into its ordinary workload, then observe average power over a representative period rather than relying on a momentary reading during boot.
Raspberry Pi documentation gives approximate Pi 4 Model B current readings for reference workloads: 0.6 A average at idle, 0.78 A for H.264 video playback and 1.2 A under stress. Its stated test setup included Raspberry Pi OS, a monitor, USB keyboard and mouse, with Ethernet connected. The documentation warns that the figures are approximate and that added USB devices or HATs can increase consumption. At a nominal 5 V rail, 0.78 A converts to roughly 3.9 W; that is a conversion from the published current, not a separate wall-side measurement. See the Raspberry Pi power documentation.
A separate Raspberry Pi thermal-testing article reported 2.47 W at idle and 6.79 W under a worst-case synthetic CPU/GPU workload after firmware changes. The figures belong to the article’s 2019 testing context; they do not define the draw of a Pi encoding a YouTube stream today. Treat them as reference readings for a rough calculation, not guaranteed low and high results for your own channel. The thermal test article explains the benchmark context.
Metering is particularly worthwhile if your plan depends on the difference between a small monthly power bill and a monthly service charge. Measure with the actual file, resolution and streaming method. If the Pi’s processor is also encoding or changing the video, that may behave differently from simple playback. The recorded-video channel guide can help you think through the content and setup side without treating a published reference wattage as your own result.
Calculate 30-day energy use
The reusable calculation is:
Average watts ÷ 1,000 × hours running = kilowatt-hours (kWh).
For a 30-day month, a continuously running device has 720 hours of operation. Using the reference wattages above gives:
| Reference reading | Calculation for 30 days | Approximate energy |
|---|---|---|
| 2.47 W idle reference | 2.47 ÷ 1,000 × 720 | 1.78 kWh |
| 6.79 W synthetic stress reference | 6.79 ÷ 1,000 × 720 | 4.89 kWh |
These are transparent arithmetic from Raspberry Pi’s published readings, not a measured monthly result for a continuous YouTube encoder. Your actual result can differ because of workload, adapter losses, attached storage, a camera or capture device, cooling, network equipment and other peripherals. If your meter reports accumulated energy over a test, use that instead: for example, multiply the measured kWh per day by the number of days you want to budget for.
For a device that does not run continuously, replace 720 with the hours it actually operates. For example, a scheduled channel that is offline overnight uses fewer hours, though that is not a 24/7 stream. Do not use the Pi power supply’s rated capacity in place of measured or reference watts; that would calculate a possible supply output, not the energy your setup consumes.
A meter reading can also help catch avoidable loads. If the setup’s power rises when you attach a USB drive or fan, note the difference rather than assuming the board alone is the whole system. Keep the same peripherals in place when comparing measurements, and make a note of the file and streaming workload so a later reading is comparable.
Apply your electricity rate
Multiply monthly energy by the marginal price you pay for one additional kWh:
Monthly electricity cost = monthly kWh × your rate per kWh.
Use the variable energy charge applicable to the next unit consumed, not a bill’s full average if that average includes fixed charges, taxes or other items that would remain whether or not the Pi runs. Electricity bills and tariff structures differ, so there is no universal currency amount that can honestly be attached to the reference range.
For illustration, if your own bill shows a marginal rate of ₹R per kWh, the rough reference calculation is 1.78 × ₹R at the lower reading and 4.89 × ₹R at the higher reading. Substitute the actual rate printed on your bill; the letter R is a placeholder, not a suggested tariff. If your provider uses time-of-day pricing, apply the relevant rates to the hours at which the stream runs or use a wall meter that captures the total cost if it supports that function.
For a more exact estimate, meter the Pi and calculate its actual monthly kWh, then multiply by your rate. Keep any router or modem out of the Pi-only number if it would be running anyway. If the Pi requires networking equipment that you would not otherwise keep on, add that equipment’s incremental energy separately. Likewise, a display left switched on solely to manage the stream belongs in the setup’s cost, while a display you already use all day may not be an incremental cost of the channel.
This distinction matters when comparing with cloud: the local device’s electricity is only one line in your operating cost. Your internet subscription, hardware replacement and time spent restoring a failed stream may matter to your decision, but they are not part of the kWh calculation. If you are evaluating a channel’s overall economics, keep those items visible rather than folding them into an unexplained “Pi cost”.
Separate purchase cost from recurring cost
If you already own the Pi, its original purchase price is a sunk cost for the decision you are making now. Your relevant recurring comparison may be its added electricity, storage replacement or maintenance against a monthly hosted-service fee. If you are buying a setup specifically for the channel, the upfront purchase should appear separately from the electricity that recurs each month.
A simple worksheet keeps the comparison honest:
| Cost item | Pi setup | Hosted option |
|---|---|---|
| Initial equipment or setup | Board, supply, storage, peripherals | Any setup fee, if applicable |
| Monthly energy | Metered kWh × your tariff | Usually part of the vendor’s service model; check terms |
| Ongoing service price | None for the Pi itself | Plan fee or usage-based charges |
| Other recurring items | Internet, replacements, maintenance | Additional services, outputs or usage where billed |
If you want to spread a new hardware purchase over a planning period, state the assumption. Divide the purchase amount by the number of months you choose, then add that figure to recurring energy for the comparison. It is an accounting choice, not a claim that the device will last exactly that long. Run the comparison both with and without the hardware allocation if you already own the equipment or expect to use it for other work.
The Pi route also asks you to maintain a working computer, network connection and stream process. The cloud route may remove the need to keep your own computer on, but it does not make content rights, stream settings or channel management disappear. If you are weighing a Pi against a cloud-hosted replay, the cloud-server relaxation channel guide offers a relevant setup comparison; treat its technical approach separately from the specific costs you calculate here.
Compare equivalent cloud service functions and prices
For a prerecorded loop, compare the Pi’s measured energy and any hardware allocation with a vendor’s fee for keeping uploaded material running. As an example of that category, YTStream’s site lists a 1080p prerecorded-video plan at $19 per stream per month, as listed on YTStream’s site in September 2026. This is the vendor’s stated plan price, not an independently verified service result or a universal market rate. Check the vendor’s current offer, terms and any limits before relying on it.
A managed encoding API is a different function. Google Cloud’s Live Stream API rate table lists HD H.264 input at $0.14 per active hour and HD H.264 output at $0.45 per active hour, as listed on Google Cloud’s site in September 2026. At 720 active hours, one input plus one output calculates as ($0.14 + $0.45) × 720, or $424.80 before other services, discounts, tax, regional or currency effects. The page describes active-time billing, including a minimum duration and rounding rules; consult the Google Cloud Live Stream API pricing table for configured use and current terms.
That arithmetic is not a like-for-like comparison with the prerecorded relay. It describes a specific HD input and output combination in an API designed for managed live processing. More outputs, other codecs or resolutions, distribution features and endpoints may change the charges. Nor is it a price YouTube charges for ingesting a stream: the cited table is for Google Cloud’s separate API.
| Need | Relevant cost model | What to compare |
|---|---|---|
| Keep uploaded prerecorded videos looping to YouTube | A hosted replay plan may be priced per stream per month | Monthly plan fee and included resolution, file or stream limits |
| Process an active live feed into configured outputs | A managed API may bill input, output and active channel time | Input and output configuration, active hours, distribution and additional services |
| Run your own Pi for a fixed video stream | Hardware purchase if needed, plus measured power and upkeep | Wall-meter kWh, tariff, upload reliability and the work of operating it |
If all you need is one recorded video cycling, compare the relay with the Pi’s actual incremental costs. If you need live input processing or multiple configured outputs, calculate those API components from the provider’s own table instead of treating a monthly replay fee as an equivalent quote. This distinction is more important than placing every option in one price column.
Check what the cloud plan includes
Before choosing a cloud replay plan, confirm that its advertised resolution matches the stream you intend to send, and ask what counts as a stream, how file uploads and playlists work, and what happens if an upload or broadcast fails. Check whether the service’s price is per channel, per stream, or tied to another usage limit. A vendor page may state a plan and a trial, but the terms at checkout and the current plan description are what you should verify.
For an API, read the rate table alongside the product documentation. Identify whether billing is based on active channel time, input resolution, output resolution, encoding type or other features. Work through the exact number of inputs and outputs you will configure. If the channel is left active without a feed, check how the provider defines active time; do not assume a quiet or disconnected input stops billing.
Either route still depends on a healthy YouTube setup. YouTube’s encoder setup guidance explains the server URL and stream key used by an encoder. Follow current YouTube instructions, test with the intended content, and watch stream health. If you are using a Pi, the systemd restart guide for an FFmpeg YouTube stream covers one way to restore a local process after it stops, though restarting a process does not repair every network or account issue.
The practical trade-off is who handles the always-on computer and recovery work. With a Pi, you retain the equipment and power draw at your location and need a plan for a process or connection failure. A hosted replay can remove the need to leave your own computer running for the loop, while a managed API is meant for a different processing workflow. StreamNeo removes the specific burden of keeping your own computer on for an uploaded-video loop by running the YouTube broadcast from the cloud and monitoring and restarting it if it drops; it is YouTube-only, so it is not a substitute for a general-purpose live encoding API.
Before committing, compare the operating options on the pricing page. When the file and channel are ready, start free — 24-hour trial, no card.
FAQ
How much electricity does a Raspberry Pi 4 use in a month?
There is no single figure for every setup. Raspberry Pi’s reference readings of 2.47 W and 6.79 W work out to about 1.78 and 4.89 kWh over 720 hours, but they are not measurements of your streaming workload. Meter the assembled Pi at the wall for a more relevant result.
Is a Raspberry Pi cheaper than a cloud streaming service?
It can be cheaper on recurring energy for a simple replay, especially if you already own the hardware, but compare the task and the full costs. Include equipment you would need to buy, measured electricity, service fees and the effort of operating the Pi. A replay relay and a managed encoding API do different jobs and should not be compared as interchangeable plans.
Does the Pi’s power supply rating tell me its monthly cost?
No. The supply rating describes its capacity, not a constant draw. Measure the full setup in watts or kWh, then apply your marginal electricity rate to the energy used.
Does YouTube charge for receiving a 24/7 stream?
The sources used for this comparison do not establish a YouTube ingest fee. Google Cloud’s Live Stream API has its own published input and output rates, but those apply to that separate managed processing service. Check current official terms for the exact product you plan to use.