OBS versus FFmpeg: which costs less to run for a 24/7 YouTube stream? Neither is automatically cheaper: your electricity bill depends on the work the computer performs, its measured power draw and your local tariff. A stream-copy job and a multi-scene OBS production are different workloads, so their costs cannot be compared as if the software names were the only variable.
To make a useful comparison, match the required output and production functions as closely as possible, measure each complete setup while it is streaming, and add any costs that change between the options. There is no controlled OBS-versus-FFmpeg power test or general monthly cost figure to apply to every channel.
The jobs OBS and FFmpeg actually do
OBS is a production application. Depending on your setup, it may capture inputs, combine sources into scenes, render transitions or overlays, mix audio and encode the resulting programme for YouTube. A static video scene may be straightforward; a layout with animated graphics, several capture sources and filters asks the computer to do more. OBS notes that requirements vary with the encoder, resolution, frame rate and scene complexity in its system requirements guidance.
FFmpeg is a media tool that can be used in different ways. In a compatible case, it can copy already encoded audio and video packets into an outgoing stream without decoding and encoding the frames again. If you need to scale or filter video, combine sources, or change the encoding, FFmpeg must do additional processing. Its documentation describes transcoding as computationally expensive and recommends stream copy where that meets the need; see the FFmpeg documentation on stream copy.
That difference is central to the cost question. “FFmpeg uses less power than OBS” is not a sound general conclusion. FFmpeg copying a compatible file may involve less processing than OBS rendering and encoding a composed scene, but FFmpeg transcoding can involve substantial work too. Conversely, if you need OBS's production controls, a minimal FFmpeg loop does not replace them without adding another way to create the same programme.
First write down what the viewer must see and hear. If it is one existing video repeated without changes, stream copy may be relevant if the file and output requirements are compatible. If the channel needs a live clock, changing ticker, multiple scenes or captured inputs, include that work in the comparison rather than treating it as optional.
Why the software name does not set the bill
Electricity use follows the whole workload and the equipment doing it. A computer can draw different power while idle, decoding, rendering graphics or encoding. The encoder matters: software encoding uses processor resources, while hardware encoding can move some encoding work to a specialised component. The OBS guidance on hardware encoding discusses performance benefits and trade-offs, including the fact that older encoder generations may deliver lower quality at the same bitrate.
Scene composition can also use the graphics processor, even when video encoding is assigned elsewhere. If that processor is already busy, rendering and encoding may compete for resources or affect performance. The OBS knowledge base on GPU overload describes how GPU load can affect a stream. A simple loop on a modest computer and an animated OBS scene on a gaming PC are not a useful software-versus-software test.
The same caution applies to FFmpeg. A command that copies streams is a different job from one that decodes, scales and re-encodes them. Even two transcodes can differ because codec, quality settings, resolution, frame rate and hardware encoder support change what the machine must do. Do not infer power cost from CPU utilisation alone: utilisation is not a meter reading for the entire computer, and it does not account for the other components or their power states.
There are costs beyond the electricity meter. If you already own a suitable computer, its purchase price may not change with the choice of application. If you must buy a GPU, leave a desktop switched on, pay for cloud compute, or spend time maintaining scripts and restarts, those are relevant costs. Keep one-time purchases, monthly charges and your own operating time visible as separate lines rather than trying to fold them into a made-up average.
Match the source, output and stream settings
Before measuring, define a target that both workflows can genuinely deliver. YouTube's live encoder settings cover supported video codecs, constant bitrate, keyframe frequency, frame rate and resolution-dependent bitrate guidance. Use the current page to choose settings YouTube accepts for your channel and content. YouTube also transcodes live streams for viewers, so the encoder at your end is preparing the feed, not making a promise about every viewer's playback format.
Make a short comparison sheet with the source file, output resolution and frame rate, video codec, bitrate, keyframe interval, audio settings and required visual functions. Keep these the same wherever possible. If one method adds a ticker or joins clips while the other does not, you are measuring different programmes. If they cannot do the same required function, record that difference instead of calling the result an equivalent comparison.
The source file matters. With FFmpeg, copying encoded streams is only appropriate when the existing streams are compatible with the output and the intended processing. A filter needs decoded frames, so a copy-only job cannot perform it. For example, adding a resized background or a visual overlay changes the work from a simple packet copy. OBS generally operates on rendered scene output and encodes that output, even if the scene contains a single media source; the exact workload depends on its configuration and hardware.
Do not change quality settings merely to make one option look cheaper. A lower bitrate or frame rate can alter processing needs, but it also changes the delivered stream. YouTube's recommended settings vary by resolution and frame rate, and the platform's current guidance should take precedence over an old preset. If hardware encoding is available, check that the installed encoder supports the required codec and settings, then assess output quality as well as draw.
For an existing channel, a practical test uses a representative segment of its actual content. Include the busiest scene or section, not just a quiet opening frame. If your video rotates between clips, test transitions and overlays as they occur. A measurement that excludes the work that happens for much of the day does not describe the channel you intend to run.
Measure the complete system while streaming
Measure average whole-system power for each workflow under the matched conditions. A plug-in electricity meter can show what a computer draws at the wall; it measures the setup, not an isolated OBS or FFmpeg process. Keep the same computer, display state and peripherals where possible. If you change machines between tests, the result includes the hardware difference as well as the software workload.
Let the machine reach the same operating state before each measurement, then run the representative stream long enough to include the normal workload rather than relying on an idle reading. Record the average watts and the duration of the observation. Repeat the run if the workload fluctuates, and note whether the encoder is software or hardware. A brief spike or a quiet few minutes is not necessarily representative of continuous operation.
If you cannot use a wall meter, a credible system-level power measurement may help, but be clear about what it includes and how it is obtained. Task Manager, Activity Monitor and similar tools report activity, not the home's electricity use. CPU utilisation can be useful for diagnosing load, but it cannot be substituted directly for watts. A measurement also does not establish that every computer of the same model will draw the same power under another workload.
For a fair pair of runs, keep the video, settings and required programme function aligned. Verify that both are actually sending a stable feed; an undersized test that drops frames or fails to encode is not a cost-effective equivalent. Check YouTube's stream health and retain the same output settings. A pre-stream checklist can help you keep the non-power parts of the two runs consistent.
The US Department of Energy's educational material explains the energy calculation and identifies a watt meter as an optional measurement tool in its energy cost guidance. This is a general appliance-cost method, not a published test of OBS against FFmpeg. Use your own measurement for the actual computer and workload.
Turn measured watts into an electricity estimate
The calculation is straightforward once you have a representative average. Divide average watts by 1,000 to get kilowatts, multiply by the hours the setup runs, then multiply the resulting kilowatt-hours by your electricity rate per kWh. In shorthand: (average watts ÷ 1,000) × running hours = kWh; kWh × local rate = electricity cost. For a 24/7 schedule, use the runtime you actually expect and the tariff on your electricity bill, rather than a generic rate from another country or state.
For example, if your measured machine averages W watts for H hours and your bill lists R per kWh, the estimate is (W ÷ 1,000) × H × R. These letters are placeholders, not a typical wattage, duration or tariff. Substitute the average from your meter, the runtime for your billing period and the applicable rate. If your tariff has time bands, taxes or other charges, check whether they affect the marginal cost of running the stream.
This produces an estimate for the measured computer, not necessarily a full household bill or an exact invoice. Measurements vary with content, encoder settings and machine behaviour, and rates can change. Keep the measurement period and assumptions with the result so that a later test can be compared on the same basis. If two workflows differ only slightly in power, repeat the measurement before treating the difference as meaningful.
How much electricity does a 24/7 live stream use? The honest answer is the measured average power multiplied by the hours you run it, converted to kWh. There is no reliable universal number to insert for an OBS or FFmpeg channel: the settings and hardware that produce the stream determine the reading, while your tariff determines its price.
Add hosting, network and operating costs
A local computer is not the only way to run a stream, but moving the workload to a cloud machine does not make it free or automatically cheaper. Compare the current regional price for the compute configuration you actually need, plus storage and any metered network transfer. YouTube lists cloud-based live processing among its encoder options, but that does not establish that a generic virtual private server is suitable for your workload or cheaper than a machine you already own. Get provider rates and confirm the configuration before deciding.
Network costs depend on your connection and provider terms. If your existing broadband plan allows continuous upload without a new charge, the incremental network cost may be small; a capped or metered plan can change the comparison. Do not assume a standard price for an ISP, cloud transfer or a storage plan. Check the terms that apply to your address and account, including whether upload data is metered.
Count only expenses that change because of the choice. A computer you already use for other work is different from a desktop bought and left running for a channel. Likewise, a cloud subscription that replaces an existing bill should be compared on its incremental cost, while a new GPU or backup connection belongs in the calculation if you would not otherwise buy it. Separate setup time and ongoing checks from cash charges: a workflow that requires regular intervention may cost you time even if its measured electricity is lower.
A local PC also relies on the power and connection at its location. You may need a plan for a power cut, internet interruption or process exit. A guide to restarting an FFmpeg stream after it exits is relevant if you manage that workflow yourself. A cloud deployment has its own configuration and failure modes, so price the monitoring and recovery you actually intend to use rather than assuming a hosting plan handles every interruption.
Choose according to the work your channel needs
FFmpeg may be the lower-cost fit when you already have a low-power machine, the content is encoded compatibly, and a simple repeating output can be sent with stream copy. That is an inference from avoiding decode and encode work, not a controlled power result. It stops being a useful cost shortcut if the channel needs filters, overlays or changes that require decoded frames and you must add a separate production method.
OBS may make more sense when you need scene composition, captured sources or production controls and already own a computer that can handle them. Replacing those features with scripts or a hosted production workflow could add setup, maintenance or service costs. Those costs depend on your requirements, not on a universal price difference between the applications. If you're planning a continuous clips-based news loop, the recorded-clips channel guide can help clarify the programme functions before you compare tools.
Hardware encoding can be useful in either approach when the machine supports a suitable encoder, but test the actual output and power draw. A hardware encoder may shift work away from the CPU; it does not mean the rest of the system consumes no power, and quality can depend on encoder generation and settings. OBS documents these trade-offs in its hardware-encoding guidance. Consider quality, stability and support for the required codec along with the meter reading.
The decision is not solely “which process costs less?” Ask which complete workflow gives you the channel you need at an acceptable combination of electricity, hosting, equipment, operator time and recovery effort. If you want the computer off while an uploaded video runs continuously, StreamNeo removes the need to leave your own PC running for that task; it is YouTube-only, so it is not a fit if you need a different destination or a custom live production workflow.
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
Does FFmpeg use less power than OBS?
Not in every case. FFmpeg stream-copying compatible media can avoid decoding and encoding, while an OBS production may render scenes and encode them; FFmpeg transcoding or filtering is a different, heavier workload. Compare matched output and functions, then measure the complete system.
How can I compare the two fairly?
Use the same source, output resolution, frame rate, codec, bitrate, audio and required scene or filter functions as far as each workflow permits. Measure average whole-system watts while each is streaming, and note any differences that prevent the programmes from being equivalent. If the required functions cannot be matched, include that limitation in your decision.
How much electricity does a 24/7 live stream use?
Use average measured watts divided by 1,000, multiplied by actual running hours, to estimate kWh. Multiply by the rate on your electricity bill for an electricity-cost estimate. Your machine, content, settings and tariff determine the answer, so a generic monthly figure would not be reliable.
Is a VPS cheaper than leaving a PC on?
It depends on the regional compute, storage and network charges, the PC's measured draw and your electricity rate. A VPS is not automatically suitable for a particular video workload, and a local computer may already be paid for while requiring more operator attention. Compare the actual configuration and incremental costs on both sides.