How much does a 24/7 YouTube stream cost on Amazon EC2 with a reserved instance? There is no single monthly total: the instance, Region, operating system, commitment and stream workload all affect the bill. As a concrete compute-only example, AWS lists a Linux/Unix t2.medium in US East (Northern Virginia) at an effective $0.031 an hour for a one-year Reserved Instance, or $0.021 for a three-year term. At an illustrative 730 hours, that is about $22.63 or $15.33 a month, before transfer, storage, networking and tax.
Those are example rates, not a promise that this instance can encode your stream. An RI is a billing commitment, not a performance guarantee. Your useful comparison is the full monthly cost for a specific stream profile that has run reliably under sustained load.
Start with the architecture, not the discount
For the usual EC2-to-YouTube arrangement, one EC2 instance sends a contribution feed to YouTube. You are not paying AWS to serve every YouTube viewer: YouTube handles viewer delivery and its own playback processing. The monthly estimate should therefore cover the EC2 workload and the data it sends to YouTube, along with the AWS resources attached to the setup.
A different architecture would use AWS services to package and deliver video to viewers. That introduces a different set of services and viewer-traffic costs, so its estimates do not answer what a single EC2 host costs to send a feed to YouTube. AWS’s Live Streaming on AWS reference illustrates a managed audience-distribution design; do not read its assumptions as an EC2 contribution-feed quote.
A useful starting formula is:
Estimated monthly total = EC2 RI compute + internet data transfer out + EBS storage + public IPv4 or networking + other AWS services + applicable taxes.
The arithmetic separates the parts that are easy to compare from those that must be measured. Compute can be quoted for a particular instance and purchase option. Transfer depends on bitrate and hours; storage and networking depend on configuration. If you use monitoring or logging services, include their charges too. AWS’s current pricing and your account’s eligibility matter, so check the live pages before committing.
If you are building a recorded-video channel rather than encoding a camera feed live, compare that workflow with turning existing YouTube uploads into a 24/7 live channel. The choice between encoding and relaying pre-encoded files changes both CPU requirements and the kind of testing you should do.
Compare like-for-like RI prices
AWS’s published example for Linux/Unix t2.medium in Northern Virginia shows On-Demand at $0.0464 an hour, a one-year RI effective hourly rate of $0.031, and a three-year RI effective hourly rate of $0.021. AWS describes the effective hourly rate as the term cost, including any upfront amount, spread over the term. Using 730 hours as a planning convention gives the following compute-only illustration. AWS’s figures were accessed on 3 October 2026; confirm the current page and calculator when pricing a deployment.
| Purchase basis | Example effective hourly rate | Approximate compute at 730 hours | What the figure does not include |
|---|---|---|---|
| On-Demand | $0.0464 | $33.87 | Transfer, storage, networking, taxes and other services |
| One-year RI | $0.031 | $22.63 | The same additional costs; payment timing depends on the option |
| Three-year RI | $0.021 | $15.33 | The same additional costs and a longer commitment |
The monthly multiplication is straightforward: hourly rate × hours used. But the effective hourly figure is not necessarily the cash you pay each month. Depending on the payment option, some or all of the term cost may be due upfront, and the billing timing differs. Compare the cash commitment as well as the amortised cost before selecting a term.
Hold the Region, operating system, instance family and size, and usage hours constant when comparing offers. Then compare one-year against three-year terms, upfront payment, effective hourly cost and the resources outside compute. AWS advertises savings of up to 72% for Standard Reserved Instances versus On-Demand for one-year or three-year terms; that is a maximum discount, not a rate you should assume for your selected instance. Check the AWS Reserved Instances page and price calculator for the applicable terms and figures.
A 730-hour month is a convenient estimate, not the duration of every calendar month. For continuous use, actual monthly hours vary. If the instance is only needed for part of a month, or if you stop and start it, calculate the hours that match your operating plan rather than treating the illustration as a quote.
Add outbound transfer to the comparison
For a feed sent from EC2 to YouTube, the relevant traffic is internet data transfer out. AWS says it provides a 100 GB monthly internet data-transfer-out allowance aggregated across AWS services and Regions, with exclusions including China and GovCloud. It is not an allowance per instance, and eligibility and remaining charges depend on the current terms and applicable rates. Look up the price for your Region and account rather than assuming that all stream traffic is free. See AWS data transfer pricing.
Estimate the outgoing volume from the stream bitrate. A practical decimal conversion is Mbps × 0.45 ≈ GB per hour before protocol overhead. For example, a stable 6 Mbps feed is about 2.7 GB an hour by this arithmetic. Multiply by the hours you plan to broadcast, then apply the current transfer rate to the amount that is chargeable under your account’s allowance and terms.
For a 24/7 schedule, do not multiply by a fixed number of hours without stating the assumption. A continuous stream runs for roughly 720 to 744 hours in a calendar month, depending on the month; 730 is a planning convention. A bitrate recommendation is also not a guarantee of the bitrate your own content needs. A higher chosen bitrate sends more data, so the transfer estimate should use your actual encoder setting, not a generic resolution label.
This distinction matters when comparing a smaller instance with a larger one. A lower compute rate does not automatically mean a lower total if the chosen profile, additional services or network configuration change the rest of the bill. Equally, a transfer allowance does not establish the cost of the full stream. Work from measured settings and current regional pricing.
Include storage and networking items
An EC2 estimate can look complete when it contains only instance hours, while leaving attached resources out. EBS storage is billed separately according to the volume and its configuration. A public IPv4 address or other networking choices may have charges, and monitoring or logging can add costs if you use those services. Taxes may also apply. Look up each amount against the configuration and billing terms you will actually use; do not copy a price from a different Region or setup.
Keep a small worksheet with one line for each bill component: compute, data transfer out, EBS, public IPv4/networking, additional services and tax. For each line, note the source and the assumption, such as Region, storage size, bitrate or broadcast hours. That makes it easier to revise the estimate when you change one part of the stream, and helps avoid counting a general AWS allowance as if it belonged to a single machine.
If you are comparing a hosted machine with a home computer, include the operational costs as well as the AWS bill. A home system needs power, a stable connection and someone able to respond if playback or encoding stops. AWS shifts those costs rather than removing the need to monitor the broadcast. For a practical overview of that trade-off, the continuous YouTube livestream VPS comparison can help frame which operating model fits your channel.
Choose settings before judging CPU
YouTube’s encoder guidance lists RTMP/RTMPS and supports H.264, H.265 or AV1 video, with up to 60 fps. It recommends constant bitrate and a two-second keyframe interval, which should not exceed four seconds. YouTube recommends RTMPS. These are platform settings, not a statement about what a particular EC2 processor can encode.
The same guidance gives bitrate recommendations by codec and resolution. For 1080p at 30 fps, YouTube lists 5–14 Mbps for H.264 and 4–10 Mbps for AV1/H.265. Use these as bounds for planning a profile, not as a claim that every bitrate in a range is necessary or suitable for your picture. Your content, motion, visual detail and quality target affect the choice. A devotional still image, a rain ambience scene and a busy gaming feed need not make the same practical choice.
Codec, resolution and frame rate affect both the encoded output and the work the encoder must do. A relay of media that is already encoded may have very different CPU needs from live transcoding or compositing. Before pricing compute, write down whether EC2 will encode, re-encode, or simply send an existing encoded file, then specify codec, resolution, frame rate and bitrate. The OBS media source settings guide is relevant if you are assembling a video-source workflow, while the guide to 4K/60fps input and YouTube Live output helps distinguish source settings from what appears in playback.
More outgoing bitrate also means more data transfer. This is one reason a codec choice cannot be reduced to a simple claim that one is always cheapest: an encoding decision, a quality target and the supported workflow all matter. Check the current YouTube guidance for the profile you plan to use and put that profile into your test, rather than comparing instance prices in isolation.
Test sustained performance on the selected instance
The t2.medium price example does not establish that t2.medium has enough CPU for your encoding task. The AWS price page is pricing evidence, not an encoding benchmark. The research used for this article did not identify a benchmark that proves performance across EC2 instance types, codecs or workloads, so no such conclusion should be inferred from the monthly multiplication.
Test the actual software and settings on the instance you intend to buy. Run the intended codec, resolution and frame rate with representative material for long enough to observe sustained behaviour, not just a short launch test. Watch CPU use, encoder lag, dropped frames and whether the output bitrate remains near its target. If the workload is live capture, test the real input path; if it is a playlist of files, test representative files and transitions.
The selected CPU can behave differently depending on the encoding preset and whether other tasks share the machine. A pre-encoded relay generally avoids the work of creating a new video encode, but it still needs a stable process and network path. If a test shows the encoder cannot keep up, reduce the profile or test a more suitable instance before making a longer billing commitment. Do not treat an RI discount as a remedy for insufficient capacity.
A 24/7 channel also needs operational checks that do not appear in a compute table. YouTube says live streams under 12 hours are automatically archived, so continuous-broadcast plans should account for that behaviour and check current platform guidance for their archive needs. Its networking advice recommends 20% upload bandwidth headroom; a cloud host’s path differs from a home internet connection, but the selected instance and any service limits still need checking. Plan how you will notice a failure and recover the feed.
YouTube sets delivery guidance, not processor choice
YouTube’s requirements describe how an encoder should send a stream; they do not name an EC2 instance family or CPU architecture. A setting such as H.264 at 1080p and 30 fps defines a delivery profile. It does not tell you whether a chosen host can encode it continuously at the preset and complexity you use.
That separation is important when comparing ARM and x86 instances. Neither architecture is inherently the cheaper or faster choice for every stream. Results depend on the instance model, price in the selected Region, encoder build and hardware support, software path, codec, preset and workload. A result from one machine or sample file would not prove the same result for every EC2 instance or channel.
Compare candidate instances with a controlled test: use the same source material, software version, codec, resolution, frame rate, bitrate and encoding preset, and record whether each candidate sustains the feed. Include price and any additional resource costs for the exact candidates. If your software cannot use a codec or acceleration path on one candidate, that is a relevant practical limitation; verify compatibility rather than assuming it from the architecture label.
Make a workload-specific decision
Build the decision in this order: define the stream, estimate its full bill, test performance, then choose the commitment. Start with a profile table containing content type, whether it is encoded or relayed, codec, resolution, frame rate and bitrate. Use YouTube’s current encoder guidance for delivery settings, but keep your own quality target and source material in the decision.
Next calculate the monthly outgoing data from the chosen bitrate and schedule. Apply the current transfer terms for your account and Region, then add storage, public IP or networking, monitoring and any other required services. Keep the AWS rate source and date beside each figure. Published prices can change, and an example viewed on one date should not be presented as a standing quote.
Finally, compare the tested instance options on both effective cost and payment commitment. If the channel is new, a shorter commitment or an initial non-committed test may be easier to justify while you establish that the workload is stable. If you already know the profile and the machine has passed a sustained test, a longer term may reduce the effective compute rate, but it trades flexibility for a commitment. The right decision is the one whose tested capacity and full bill suit your channel, not the smallest number in an isolated price table.
For a small operator without someone available to watch a computer overnight, a managed way to run a prerecorded broadcast can remove the need to leave a personal machine on and manually restart it. StreamNeo is useful in that specific situation when you have a video file and want the broadcast to continue with your computer switched off; it does not replace checking rights, YouTube requirements or your channel’s own operating needs.
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 the $15.33 figure the full monthly cost?
No. It is an approximate compute-only amount from the example three-year RI effective hourly rate multiplied by 730 hours. Transfer out, storage, networking, any additional services and applicable taxes can raise the total, and the exact current quote depends on the selected Region and configuration.
Does a Reserved Instance guarantee enough CPU for 24/7 encoding?
No. It is a pricing commitment, not a guarantee of capacity for a particular encoder workload. Test the selected instance with your codec, resolution, frame rate, material and settings before relying on it for a continuous stream.
Should I use the AWS managed live-streaming estimate for this setup?
Not if your setup is one EC2 host sending a contribution feed to YouTube. A managed AWS audience-delivery design covers different services and traffic assumptions; YouTube handles viewer delivery in the contribution-feed arrangement described here. Compare estimates only when the architecture and audience-delivery responsibility match.
How should I estimate data transfer out?
Start with the actual target bitrate and broadcast hours; decimal Mbps × 0.45 gives an approximate GB per hour before overhead. Multiply by your schedule, then check current AWS regional transfer rates and the allowance terms applicable to your account. A general allowance is not a per-instance promise.