A 24/7 YouTube stream has no single monthly price that applies to both an AWS EC2 instance and a home PC. For a fair comparison, use the same continuous encoder feed, runtime and bitrate, then calculate EC2 compute and any applicable outbound transfer separately from the home computer’s measured electricity.
That comparison does not include YouTube viewer delivery, video production, or costs you already pay regardless of streaming, such as a home internet plan. Your result depends on the EC2 instance and Region, storage, electricity tariff, and the PC’s actual wall draw.
Compare one encoder feed, not two delivery systems
Start with a narrow question: what does it cost to keep one encoder running and sending one live feed to YouTube around the clock? On the EC2 side, that means the selected instance’s running time, storage and other selected services, plus applicable data-transfer-out charges for the feed. At home, it means the computer’s incremental electricity use, and any other incremental costs you choose to count.
This is a comparison of operating costs, not the total cost of starting a channel. It excludes buying a PC or other hardware, producing or licensing the video, and a home broadband connection that you would keep whether or not the stream runs. If you purchase a computer specifically for streaming, you can add a hardware allowance separately, but it should not be confused with the monthly power bill.
Keep the workload as consistent as you can. Both options need to run for the same period and send a feed at the same resolution, frame rate, codec and bitrate. If you compare a small EC2 instance using a low-bitrate feed with a gaming PC encoding higher-quality video, the difference will not tell you which way of running the same stream costs less.
YouTube remains the destination and handles playback delivery to viewers in this simple arrangement. The EC2 encoder’s outbound feed is not a separate copy sent to each viewer. That distinction matters because it keeps an EC2-to-YouTube estimate from accidentally including an AWS content-distribution architecture you are not using.
What makes EC2 compute cost vary
EC2 compute is billed according to the instance you select and how long it runs, subject to the pricing arrangement and any applicable discounts or eligibility. For a simple monthly estimate, the core arithmetic is the instance’s hourly price multiplied by the hours in your chosen month. A 730-hour month is a useful planning convention, not a promise that every calendar month has that exact runtime.
An instance that is suitable for one encoder may not suit another. Resolution, frame rate, codec, scene complexity and the encoding method affect the work required. If the instance cannot encode smoothly at your chosen settings, a lower hourly price is not useful: you may need a different instance or a different encoding approach. Do not assume a particular instance can handle your stream without testing it at the intended settings.
Region also matters. AWS pricing is not one universal rate, and the storage, operating system and any additional services you choose can change the total. If you use a persistent disk, include its charge. If your configuration has other billable components, such as a public IPv4 address, check whether those apply to your particular setup rather than treating the instance-hour as the entire EC2 bill.
For a current scenario-specific figure, enter the intended Region, instance, operating system, storage, runtime and other selected services in the AWS EC2 on-demand pricing information. The pricing page and calculator are more useful than a headline monthly figure from a different Region or instance. Note the date you checked them; a quote is only as relevant as its assumptions and current rates.
If you are deciding how to prepare a video before it reaches the encoder, the blog’s guide to choosing an H.264 profile for playlist videos can help frame that part of the workflow. It does not supply an EC2 price or remove the need to test the selected instance with your own encoding settings.
Check whether the feed creates transfer charges
A continuous encoder feed also sends data out of EC2 to YouTube. Its approximate monthly volume can be estimated from bitrate: multiply megabits per second by about 0.45 to get decimal gigabytes over a 30-day month. This is a planning conversion based on bitrate and elapsed time; actual usage varies with protocol overhead and whether the stream is continuously live.
| Feed bitrate | Approximate volume over 30 days | What to use it for |
|---|---|---|
| 10 Mbps | 3,240 GB | A planning estimate for a feed at this bitrate |
| 17 Mbps | 5,508 GB | A planning estimate for a feed at this bitrate |
Treat those figures as approximate decimal volumes, not a bill. Your actual outgoing traffic depends on the encoded feed and runtime. A stream that drops or is stopped for part of the month transfers less than a continuously running one, while protocol overhead can raise the measured amount above the simple calculation.
AWS states that 100 GB of data transfer out to the internet is free each month, aggregated across AWS services and Regions, with exceptions for China and GovCloud. That allowance does not make a multi-terabyte encoder feed automatically free. Check the current terms, how the allowance applies to your account, and the applicable transfer rate for your Region and usage in AWS’s pricing information before estimating the amount beyond it.
For a practical estimate, take your chosen feed bitrate and runtime, estimate the outgoing volume, then check which portion is covered by the applicable allowance and what the current rate is for the remainder. Include that amount in the EC2 total alongside compute and storage. Do not apply a transfer rate copied from an unrelated Region or assume that a transfer allowance applies in the same way to every account or service.
The encoder guide from YouTube Help is useful when setting that bitrate. Its H.264 recommendations include 10 Mbps for 1080p30 and 17 Mbps for 1080p60. These are settings for different output formats, not a claim that either one is right for every channel; choose settings that fit your content, connection and encoding capacity.
Measure the home PC’s electricity use
Home electricity is often the more direct side of the comparison, but guessing from a PC’s power-supply label is not a measurement of what it draws at the wall. A plug-in watt meter can show the actual input while the computer runs the stream. Measure the computer and any peripherals that will remain on, such as an audio interface or display, then decide whether to count all of that draw or only the extra use caused by streaming.
For a 730-hour month, the calculation is:
Average wall draw in kilowatts × 730 hours × local price per kilowatt-hour = monthly electricity cost.
If a meter shows an average of 100 watts, that is 0.1 kilowatts. At a residential rate of 17.30 US cents per kWh, 0.1 × 730 × $0.173 is about $12.63 for the month. This is an illustrative arithmetic example based on that stated wattage and rate, not a claim about what a typical PC draws or what your local power costs.
The same example makes the effect of a different draw easier to see: at the same rate, 50 watts works out to about $6.31 and 200 watts to about $25.26 over 730 hours. Your measured average and local tariff should replace both assumptions. If your computer would already be switched on for other work, use the incremental draw attributable to streaming for a marginal-cost comparison, or state clearly that you are counting the whole machine’s electricity.
Electricity rates vary by location and billing arrangement. The U.S. Energy Information Administration’s electricity price information can provide context for U.S. prices, but it is not a substitute for your bill. If you are in India or another country, use the rate that applies to your home and account, including any relevant billing tiers or charges, rather than converting a U.S. example into a local estimate.
A meter is useful because computer draw can change with workload. An encoder using hardware acceleration may draw differently from one relying on the CPU, while an idle machine may draw less than one rendering a complex scene. Make the measurement with your actual stream or a representative test, and record the settings and whether peripherals were included so that you can reproduce the estimate.
Set a like-for-like runtime and stream
Once you have the inputs, compare both approaches over the same period. For a monthly planning estimate, use 730 hours on each side and the same bitrate. For a shorter trial, use the actual hours for both rather than applying a full-month figure to one option and a partial month to the other.
The comparison can be written without pretending to know your answer in advance:
| Cost component | EC2 encoder | Home encoder |
|---|---|---|
| Compute or power | Instance hourly price × runtime | Measured average kW × runtime × local kWh rate |
| Storage or related costs | Selected storage and other billable services | Incremental peripherals, if included |
| Outbound feed | Applicable EC2 data-transfer-out charge | Usually part of an existing home internet plan; exclude if already paid |
| Other setup costs | Any selected services or fees | Hardware purchase or replacement, if you choose to amortise it |
For EC2, the calculation is instance runtime plus storage and other selected charges plus applicable feed egress. For home, it is measured electricity plus any additional costs that are genuinely incremental. The table intentionally keeps existing internet service and hardware purchase out of the baseline, but you can add them as separate lines if the decision requires them.
Settings matter to both sides. YouTube’s encoder recommendations vary with codec, resolution and frame rate, so settle those before comparing. The YouTube Help guidance recommends RTMPS, constant bitrate and a two-second keyframe interval, with keyframes not exceeding four seconds. A stable configuration also makes a meaningful test possible: monitor whether the chosen machine can sustain the encode, rather than changing settings mid-comparison and treating the bills as equivalent.
A continuous video playlist setup guide can help you define what the encoder is expected to repeat and keep running. If your feed is a long recording or a playlist, check that its transitions and audio behave as intended before leaving either machine unattended. Cost is only one part of a useful comparison if one setup needs frequent manual intervention.
Keep encoder egress separate from viewer delivery
In this comparison, the encoder sends one source feed from EC2 to YouTube. YouTube then transcodes incoming live video into formats for viewers, as described in its live encoder settings guidance. The traffic leaving EC2 is therefore the source feed volume, not that volume multiplied by the number of people watching.
A different design would use AWS media services to ingest, process or package a live stream and distribute it through a content delivery network. That may be appropriate for a service that needs its own delivery pipeline, but it is not the setup described here. Adding viewer delivery charges from such an architecture to the EC2-to-YouTube encoder estimate would compare different systems and inflate the cost attributed to the simple feed.
When reading an AWS live-streaming example, check which services are included before using its total. A managed pipeline can include encoding, packaging and viewer distribution; an EC2 instance that sends a feed directly to YouTube does not become that pipeline merely because both involve AWS. If you later build an AWS distribution path, estimate it separately with the services and viewer traffic that path actually uses.
For a channel that needs the computer switched off while a prepared video continues as a YouTube live stream, StreamNeo removes the specific burden of keeping a home encoder powered and watching for a dropped feed. That is a different operating choice from renting and configuring your own EC2 instance, so include only the costs and trade-offs relevant to the setup you are actually considering.
Read the result as a decision, not a universal winner
A useful estimate needs its assumptions beside the total: the EC2 Region and instance, operating system, storage, runtime, bitrate, applicable egress treatment, and any other selected services. For home, record the measured draw, what equipment the reading included, the electricity tariff and whether the computer would otherwise be on. If any of those inputs changes, update the calculation rather than reusing a total as if it were a general price.
The lowest apparent monthly bill may not be the best operating fit. A home PC may use hardware you already own, but it needs power, a dependable home connection and a plan for restarts or failures. EC2 can run without leaving your personal computer on, but you must choose a suitable instance, understand its charges and maintain the configuration. Neither choice guarantees an uninterrupted broadcast.
Consider resilience and attention as well as cash. If you are comfortable checking the machine and restarting an encoder, that work may be acceptable. If a stream going offline overnight would be costly to your channel, account for the time and process needed to detect and recover from interruptions. Do not assign an invented monetary value to that time; describe it alongside the calculated costs.
If your setup uses OBS and a stream drops after a network change, the guide to testing the YouTube RTMP hostname after a DNS change covers one practical diagnostic. It is relevant to keeping a feed connected, not to the electricity or AWS price calculation. Keeping operational troubleshooting separate from monthly cost helps prevent a technical fix from being mistaken for a cost saving.
The defensible answer is a range of outcomes produced by your inputs, not a universal claim that EC2 or a home PC is cheaper. If you have not yet measured the computer, make that measurement first. If you have not selected an EC2 Region and instance, use the current AWS calculator for those choices. Then compare the same runtime and source-feed settings, with YouTube’s viewer delivery kept outside the EC2 egress line.
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
Is EC2 cheaper than leaving my PC on to stream to YouTube all day?
There is no universal winner because EC2 compute and transfer depend on the Region, instance, storage and feed, while home electricity depends on actual wall draw and your tariff. Compare both for the same hours and bitrate, and include only costs that are incremental to each option.
How much electricity does a PC use running OBS 24/7?
The useful figure is the computer’s average measured wall draw while encoding, not a generic estimate for all PCs. Multiply that draw in kilowatts by the hours it runs and your local price per kWh; include peripherals only if you mean to count their consumption.
Does EC2 pay to send the stream to every YouTube viewer?
Not in the one-feed setup described here. EC2 sends the encoder feed to YouTube, which transcodes the live stream into viewer formats; AWS viewer-distribution services are a separate architecture and should be estimated separately if you use them.
What do I need for a current EC2 monthly estimate?
Choose the AWS Region, instance type, operating system, storage, runtime and encoder bitrate, then estimate outgoing feed volume and check the current transfer terms and rate. Enter the configuration in AWS’s current pricing tools and keep the assumptions with the result.