A used laptop is not automatically dearer to run than a Raspberry Pi, and the Pi is not automatically cheaper. To compare their electricity costs, measure each complete setup at the wall while it sends the same stream, then apply your own electricity rate.
Published figures can help explain what a device may draw, but they cannot settle this comparison. A recommended power supply rating, a board-only current figure and a laptop’s idle reading are not equivalent to whole-system consumption during a 24/7 broadcast.
Why published figures do not settle the comparison
The question “Is a Raspberry Pi cheaper to run than an old laptop?” sounds as though a quick lookup should answer it. In practice, it depends on the particular laptop, Pi model, accessories and encoding work. There is no matched wall-power result in the available evidence for a used laptop and a Pi performing the same continuous stream task.
A manufacturer’s specification describes a component or device in a stated context. A wall meter measures what the complete setup draws from the mains during the activity you care about. The gap matters: a Pi needs a power supply, storage and perhaps cooling or network accessories; a laptop’s reading changes with its display, battery charging state, processor load and attached devices.
Raspberry Pi documentation lists typical active current for bare boards. For Pi 4 Model B it gives 600 mA, and for Pi 5 it gives 800 mA. At a nominal five volts, those figures convert approximately to three watts and four watts respectively. Treat these as board-level context, not the consumption of a complete streaming system.
Raspberry Pi’s announcement for Pi 5 also says that under intensive workloads its peak can reach around 12 W, compared with 8 W for Pi 4. These are peaks, not a 24/7 average. The announcement notes that Pi 5 uses less power than Pi 4 on an identical workload, another reason to avoid reducing the comparison to a model name alone.
There is older evidence that a Pi has been used to stream to YouTube: a 2018 paper in Agronomy Research describes such an implementation and notes that transcoding camera output to H.264 can consume significant CPU resources. That example establishes that a particular approach was demonstrated, not how much a current Pi will draw during your stream. It is not a modern benchmark or a Pi-versus-laptop test.
The practical consequence is simple. Do not take a bare-board figure from a Pi document and set it beside a laptop’s wall reading, or compare either with a power-supply label. If you are deciding whether an existing computer can handle a loop, first define the stream and then measure the full setup. For the separate question of how the video itself repeats, see this guide to looping a video on YouTube Live.
Supply capacity is not consumption
A power supply must be capable of providing enough power when a device and its accessories need it. That capacity is not a statement that the device draws that amount continuously. A 5 V, 5 A supply can provide up to a nominal 25 W; it does not mean a Pi 5 consumes 25 W around the clock.
Raspberry Pi’s official getting-started guidance recommends a 5 V, 3 A supply for Pi 4 and a 5 V, 5 A supply for Pi 5. Those recommendations help you choose a supply with appropriate capacity. They are not wall-meter measurements, average draw figures or estimates of the electricity bill. Check the Raspberry Pi setup guidance for current advice on powering the model you use.
The same distinction applies to a laptop charger. Its rating is the maximum output it is designed to provide under its conditions, not a prediction of what your streaming laptop pulls from the wall. A charger may be sized for a processor working hard, a charging battery and connected peripherals at once. Your actual usage can be lower, but you need to measure it to know how much lower.
For a fair reading, measure at the mains outlet, upstream of the computer’s own power supply. That includes conversion losses and the real draw of items powered through that supply. If the Pi uses a separately powered drive, fan or network accessory, decide whether it is part of the streaming setup and include it. If the laptop display will remain on, measure it on; if it will be closed or dimmed, use that actual state.
This is also why dividing a supply’s wattage rating by 1,000 and multiplying by your tariff produces a misleading bill. It assumes continuous full-capacity draw. A measured wall value reflects what the setup actually uses during the tested activity, which is the useful input for the cost calculation.
Define one streaming workload for both systems
A comparison only means something if the work is alike. Choose the resolution, frame rate, codec, bitrate and video loop you intend to use, then configure both systems for that target. If one device is only playing a pre-encoded file while the other is converting a source into a different codec, their readings answer different questions.
YouTube’s live encoder guidance lists RTMP or RTMPS and H.264, H.265/HEVC or AV1 as supported encoder choices, with codec-specific bitrate recommendations. It recommends constant bitrate encoding and a two-second keyframe interval; the guidance says not to exceed four seconds. Use the current YouTube live encoder settings to choose settings for your stream, rather than mixing figures from different codec columns.
For example, if your channel is a 720p30 devotional loop, configure both devices for 720p30, use the same codec and target bitrate, and feed them the same prepared file. YouTube lists 5 Mbps as a recommended H.264 bitrate for 720p30. That figure is a setting for the stream, not a claim about either computer’s power use. A 1080p60 stream is a different workload: the H.264 table gives a range with 6 Mbps as the minimum and 17 Mbps as the recommendation. Pick the target that suits the programme and connection, then keep it fixed for the test.
If the source needs real-time resizing, graphics or transcoding, include those tasks on both machines if they can perform them. If your normal setup just sends a pre-rendered video file, do not make one machine transcode merely to create an artificial comparison. Write down the software and settings so that you can reproduce the test after changing a setting or replacing a device.
A stream workload includes more than encoder settings. Use the same video, audio, overlay behaviour and transmission route where possible. A local display preview, audio processing or a capture device can change the load. If one system needs a capture device and the other does not, record that difference rather than quietly omitting its power use.
The target should also be one your hardware can sustain. YouTube recommends testing before a live broadcast and monitoring stream health. For help choosing a resolution, use this explanation of resolution choices for a 24/7 YouTube stream. If you are weighing bitrate against delay or network conditions, the bitrate and latency guide can help you set a target before measuring.
Measure the complete setups at the wall
Use a plug-in electricity usage meter that reports watts or accumulated energy. This is a product category suggestion, not a tested model recommendation. Put the meter between the mains outlet and the setup’s power supply, then read the system while it is actively sending the chosen stream. A momentary reading can vary, so let the setup reach its normal operating state and observe it long enough to see whether the draw settles or fluctuates.
For each machine, include the components needed for the real broadcast. On the Pi side, that may mean its supply, storage, cooling and powered accessories. On the laptop side, decide whether it normally streams with the lid open, the internal screen on, or the lid closed; test that state. Include an external display if you actually keep one running. Do not compare the Pi with all its accessories against a laptop stripped of the equipment it needs, or vice versa.
Run the same video and settings, connected to the same network where practical. Confirm that both streams are actually reaching YouTube at the intended quality and are not repeatedly reconnecting or dropping frames. If a system cannot sustain the chosen workload, its lower meter reading is not a useful cost saving: it is doing less than the task requires. YouTube’s advice is to leave upload capacity beyond the stream’s total bitrate, with 20% headroom recommended, and to check stream health. The YouTube streaming tips explain that network margin and monitoring matter alongside encoder settings.
Record the measured average watts over a representative period, alongside peak readings if the meter provides them. The average is the input for a long-run energy estimate; peaks may help identify whether the supply or system needs more capacity. Note the date, device model, software, stream settings, peripherals and display state. If you change resolution or add an overlay later, repeat the measurement instead of assuming the old result still applies.
| Record for each setup | Why it matters |
|---|---|
| Average wall watts while streaming | Represents the measured system load for the energy calculation |
| Stream resolution, frame rate, codec and bitrate | Shows that the devices performed the same task |
| Power supply, storage and accessories | Makes clear what the reading includes |
| Laptop display and charging state | Can affect the complete laptop reading |
| Stream health and upload conditions | Confirms the machine was sustaining the intended broadcast |
A wall measurement is specific to the tested configuration, not an immutable property of a device. If you have a Pi 4 board in one test and a Pi 5 with a powered drive in another, label them separately. If a used laptop’s battery is already charged in one session and charging in another, repeat the measurement under the state you expect to encounter during normal operation.
Turn measured watts into your electricity cost
Once you have a measured average, the arithmetic is straightforward:
- Energy in kWh = measured watts × operating hours ÷ 1,000.
- Electricity cost = energy in kWh × your price per kWh.
Use the actual tariff that applies to your premises, including the currency and any relevant unit rate shown on your bill. Do not borrow a price from a different country or assume that a published tariff matches your plan. If your bill has time-of-use rates, calculate periods separately using the hours and rates that apply to each period.
For a full non-leap year of uninterrupted operation, the assumption is 8,760 hours. You can use fewer hours if the channel will be switched off for maintenance, or calculate a month using the operating hours you expect. Make the hours explicit so another person can understand or recalculate the result.
As a calculation example, suppose your meter reads 20 W on one complete setup and your bill shows a rate of 10 currency units per kWh. At 24 hours per day for a full non-leap year, the estimate is 20 × 8,760 ÷ 1,000 = 175.2 kWh, then 175.2 × 10 = 1,752 currency units. These are illustrative inputs, not a measured laptop or Pi result, and not a recommended tariff. Replace both with your own meter reading and bill rate.
Calculate both systems separately using the same hours and tariff. If one measures 20 W and another 30 W under your test, the difference is 10 W for that particular matched workload. It does not establish that all Pi systems draw less than all old laptops, or vice versa. For another stream format, accessories or computer, the result may change.
Electricity is only one part of “cheap”. If you are buying a laptop or Pi from scratch, include the purchase price, any missing supply or storage, and the time needed to configure and maintain it. The evidence here does not support a purchase payback calculation without actual device prices and measured loads. Keep the electricity comparison separate from setup cost until you have those figures.
Choose for the work, not the label
A Raspberry Pi can be attractive if your stream is simple, the model and software can sustain it, and you are comfortable assembling and checking a small setup. Its compact format may suit a dedicated loop, but the bare board is not the complete system: you still need an appropriate supply, storage and any required cooling or accessories. Check current availability and what a bundle includes before budgeting.
A used laptop may be the more practical choice if you already own one, need a desktop operating system or want to use familiar software and peripherals. It may also be the wrong choice if its battery, cooling, storage or operating system is unreliable. Do not assume that an old laptop will handle encoding simply because it can play the video; test the stream at the settings you plan to run.
The best choice is the setup that sustains your intended stream without constant attention, at an electricity cost you can accept. For devotional music, a static visual and pre-rendered audio may be a modest task; a local news loop with overlays, changing scenes or frequent encoding may require more headroom. Test representative content, including transitions and any heavier scenes, rather than measuring only a quiet moment.
For a channel built around a recorded loop, your computer’s role can also be different depending on how you broadcast. If you want to avoid leaving your own computer running as the broadcaster, StreamNeo turns an uploaded video into a YouTube live stream, so the computer does not need to stay on for the broadcast. That addresses the specific problem of keeping a local machine powered and monitored continuously; it is YouTube-only, so it will not suit a workflow that requires broader platform support or live production from a local encoder.
Whatever route you take, run a trial long enough to expose the failures that matter in ordinary use: a network interruption, an unattended restart, a storage issue or a stream that stops when a file ends. A low meter reading is useful only if the channel remains on air as intended. If reconnects are already a problem, diagnose them with this guide to stopping YouTube RTMP reconnections before treating a hardware swap as an electricity fix.
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 does it cost to run a Raspberry Pi 24/7?
It depends on the complete Pi setup’s measured wall draw and your electricity rate. Measure the Pi, its supply, storage and any powered accessories while it sends your intended stream, then multiply its kWh by your tariff. The official active-current figures are bare-board context, not a bill estimate for a streaming system.
Is a Raspberry Pi cheaper to run than an old laptop?
There is no universal answer from the available published figures. Measure both complete systems at the wall using the same stream settings, operating hours and peripherals, then compare the resulting costs at the same tariff. A different laptop, Pi model or encoding workload can change the result.
Can I use the Pi power-supply rating to estimate the bill?
No. A supply recommendation describes the capacity needed to power the device reliably, not the power it continuously consumes. Use a wall-meter reading during the actual workload instead.
What if the Pi cannot stream at the settings I want?
Then it is not a fair comparison to count its lower draw as a saving: it has not completed the same task. Test a lower resolution or frame rate if that is acceptable for your channel, or choose hardware that sustains the target and compare again under matching settings.