If your FFmpeg workflow must encode H.264 on the Raspberry Pi itself, choose the Raspberry Pi 4 Model B. Its documented H.264 hardware encoder makes it the better fit for this specific job than Raspberry Pi 5, which uses software encoding for H.264.
That is an architecture-based recommendation, not a claim that the Pi 4 has proven uptime for every 24/7 stream. Your result still depends on the input, FFmpeg build, resolution, frame rate, cooling, power, network and recovery arrangement.
The recommendation and its limits
The Raspberry Pi 4 Model B is the sensible starting point when the board must receive video, process it with FFmpeg and encode an H.264 output for YouTube Live. Raspberry Pi documents the Pi 4 hardware encoder as h264_v4l2m2m, while its published comparison places the Pi 5 on a software-encoding path such as libx264.
That distinction matters more here than the age of the computer. The Pi 5 is the newer and faster general-purpose machine, but a faster CPU does not turn it into a board with a hardware H.264 encoder. If your selection criterion is specifically hardware H.264 encoding, the Pi 4 matches the requirement more directly.
The recommendation does not mean every Pi 4 stream will run unattended without interruption. The evidence reviewed for this comparison does not establish a controlled, comparable endurance test of both boards running a complete YouTube FFmpeg workload. It also does not provide an uptime guarantee for either model.
Treat “24/7” as the operating goal that your complete setup must be tested against, not as a property supplied by the model name. A board may be suitable on paper while the actual installation fails because of an unsuitable input, a marginal power cable, a driver mismatch, a full storage device or a restart process that has never been tested.
If you are building a recorded-file channel rather than a camera production system, first map the whole workflow in how to create a 24/7 YouTube stream from MP4 files with FFmpeg. The model choice becomes clearer once you know whether the board is decoding, filtering and re-encoding video, or merely passing through an already suitable stream.
Pi 4 and Pi 5 use different encoding paths
The central comparison is not simply “older versus newer”. It is hardware H.264 encoding on the Pi 4 versus CPU-based H.264 encoding on the Pi 5.
| Question | Raspberry Pi 4 Model B | Raspberry Pi 5 |
|---|---|---|
| H.264 encoding path | Raspberry Pi documents h264_v4l2m2m hardware encoding |
H.264 encoding uses software such as libx264 |
| Hardware video encoder | Documented for H.264 | Raspberry Pi states that the platform has no hardware video encoder |
| General-purpose CPU | Older quad-core platform | Newer quad-core 2.4 GHz Cortex-A76 platform |
| Relevant video decoder detail | Not the deciding factor for this comparison | Includes a 4Kp60 HEVC decoder, which is not an H.264 encoder |
| Best fit in this article | A workflow requiring board-side hardware H.264 encoding | A workflow whose software encoding load has been measured and accepted |
The names in the table describe paths, not guaranteed output quality. Both models still need a compatible source, appropriate FFmpeg options and a connection that can deliver the resulting stream to YouTube.
The Pi 5’s 4Kp60 HEVC decoder is also easy to misunderstand. Decoding and encoding are separate jobs. A decoder helps the board read a supported compressed source; it does not provide hardware H.264 encoding for the outgoing YouTube stream.
Raspberry Pi’s technical documentation for its computers should be checked alongside the installed operating system and FFmpeg documentation. Device support can depend on the kernel, drivers and build available when you assemble the system. Do not assume that a command written for one image or release will behave identically on another.
The Pi 5 can still be a reasonable choice. If your workflow is light, your chosen software encoder produces the needed output within the available CPU budget, and your tests show stable behaviour under the real load, its newer processor may suit you. That is a workload decision, not evidence that it has a hardware video encoder.
When hardware H.264 encoding matters
Hardware encoding matters when the board has to turn raw or decoded frames into an H.264 stream while also keeping up with audio, input handling, filters and network delivery. A dedicated encoding path can reduce the amount of general-purpose CPU work required for that part of the pipeline.
This is especially relevant when your source is not already in the format you need. A camera, screen capture or image sequence may require decoding or rendering first. Colour conversion, scaling, overlays, subtitles and audio work can add further tasks. The more work FFmpeg performs before sending the stream, the less useful it is to judge the board only by whether a basic file loop works.
A simple recorded-video channel may have a different answer. If the source video is already encoded with settings that YouTube accepts, FFmpeg may be able to pass through the video rather than decode and encode it again. That can reduce board-side work, but pass-through is conditional. The video codec, audio codec, container, timestamps, keyframes and output requirements all need checking.
YouTube’s current live encoder settings guidance lists H.264 for RTMP and RTMPS delivery, along with CBR bitrate encoding. It recommends a two-second keyframe interval and says the interval should not exceed four seconds. Those requirements affect how you configure FFmpeg, regardless of which Pi you select.
For H.264 at 1080p and 30 frames per second, YouTube’s published recommended bitrate range is 5–14 Mbps. That is a platform recommendation, not a promise that any Pi will encode the workload comfortably. A higher resolution, higher frame rate, filter chain or re-encode can change the practical load substantially.
Hardware encoding is therefore most valuable when the output must be created on the board and the input is not a clean pass-through candidate. It is less decisive when the board only relays a compatible stream, although you should still test timestamp handling, audio continuity and reconnect behaviour.
What the Pi 5’s newer CPU changes
The Pi 5’s newer CPU gives it more general-purpose headroom than the Pi 4. That can help with tasks around FFmpeg: decoding, scaling, compositing, metadata work, file management or other services running on the same machine. It may also make software H.264 encoding viable for a particular stream.
The important word is “may”. General CPU specifications do not tell you whether a chosen FFmpeg command will maintain its target frame rate while producing the required bitrate and keyframe pattern. They also do not show what happens when the input changes, a filter is enabled, audio is resampled or the storage device briefly becomes busy.
A Pi 5 choice makes more sense when software encoding is intentional. For example, you may need a filter that fits your CPU budget better than the hardware encoder’s supported options, or you may have a workflow where the board’s other processing work is more important than hardware H.264 support. In that case, measure the complete command rather than choosing from a specification sheet.
Do not use the Pi 5’s newer decoder specification as a substitute for an encoder specification. The question for a YouTube stream is what creates the outgoing H.264 frames. Raspberry Pi’s own explanation of the Pi 5 software environment states that the platform has no hardware video encoder, so a Pi 5 H.264 output should be planned and tested as software encoding.
You should also avoid assuming that a faster processor automatically makes the Pi 5 the safer unattended choice. A faster board can still be affected by heat, power, storage, network loss and a process that does not restart correctly. The comparison resolves the encoder architecture more clearly than it resolves long-duration reliability.
Match the model to the actual FFmpeg workflow
Start by writing down what FFmpeg receives and what it must produce. “Streaming a video” can describe several very different workloads.
A looping MP4 file may be close to a pass-through workflow if its streams already match your output requirements. A camera feed may need capture, colour conversion and real-time encoding. A devotional channel built from still images and audio may require rendering rather than ordinary video decoding. A local news loop may add text, transitions and frequent file changes.
Use these questions before buying or configuring the board:
- Is the video already H.264, or must FFmpeg encode it?
- Is the source resolution and frame rate the same as the planned YouTube output?
- Will you add scaling, overlays, subtitles, transitions or a logo?
- Does the audio need resampling, volume changes or mixing?
- Will one process handle the entire stream, or will other services run on the Pi?
- What should happen when a file ends, becomes unreadable or has a timestamp problem?
For a hardware H.264 requirement, begin with the Pi 4 Model B and confirm that the intended OS, kernel and FFmpeg build expose the hardware path you plan to use. Do not copy a command merely because it contains h264_v4l2m2m; check its input format, pixel format, rate control, keyframes and output compatibility.
For a Pi 5, begin from the assumption that H.264 encoding consumes CPU through a software encoder such as libx264. Measure CPU load and whether frames are encoded in time. A command that works for a short sample can still fall behind after a filter is added or after the source changes.
The right model can also depend on whether you need the Pi to do anything besides streaming. If it is a dedicated appliance that reads a prepared file and sends it, the workload is narrower. If it also manages a playlist, renders graphics, records a local copy and serves a dashboard, headroom becomes more important. Keep the number of moving parts as low as the channel requires.
For a file-based channel, the practical playlist and looping questions are covered in how to fix FFmpeg YouTube Live Stream buffering while looping video. For a radio-style channel, how to schedule a 24/7 radio livestream on YouTube is relevant to the operational side, even though the encoding path still needs separate validation.
Test the full stream configuration
Test the configuration that you will actually leave running. A short command check is useful for finding syntax errors, but it is not evidence that a complete unattended channel will recover from ordinary faults.
Begin with the real source files or camera. Use the target resolution and frame rate, the intended audio, the intended filters and the intended output bitrate. If you plan to use 1080p30 H.264, configure that mode during testing rather than proving only that a lower-resolution sample works.
Confirm that the outgoing stream follows YouTube’s current guidance: H.264 where required, CBR bitrate behaviour, an appropriate keyframe interval and RTMPS if you choose encrypted delivery. YouTube’s settings can change, so check the official page again when you publish rather than treating a copied configuration as permanent.
Watch for signs that the board is falling behind. A rising encoder queue, late frames, repeated reconnects, audio drift, irregular timestamps or a growing delay between the source and the live output all deserve investigation. A process that remains running is not necessarily producing a healthy broadcast.
Test each planned failure separately. Stop and restart FFmpeg. Disconnect the network briefly. Present an unreadable file. End a source file at a playlist boundary. Reboot the board. Check what YouTube shows when data stops, and confirm that the recovery action does not create two competing broadcasts.
Power deserves the same attention as the command. Raspberry Pi recommends a 3 A USB-C supply for the Pi 4 and documents that low-voltage warnings can be caused by an inadequate supply or cable. Its guidance also explains that poor power can lead to unpredictable behaviour or storage corruption. A suitable supply and cable reduce one class of risk, but they do not guarantee uninterrupted streaming.
Use the Raspberry Pi hardware documentation to check the relevant power guidance for the board and accessories you are using. Keep the board somewhere with sensible airflow, use storage appropriate to the operating system and avoid adding services that are not needed by the channel.
Plan for continuous-run monitoring
A 24/7 channel needs a recovery plan, not just a launch command. Decide what you will monitor, who will receive an alert and what the first manual check will be when the YouTube preview goes black.
At minimum, record FFmpeg’s logs somewhere you can inspect after a failure. Track whether the process is running, whether the input is advancing and whether the network connection is being re-established. A local process check alone is not enough: FFmpeg can remain open while the output is stalled or rejected.
The restart policy should have boundaries. Restarting a failed process can help after a temporary network error, but repeated rapid restarts can hide a bad input, invalid stream key or incompatible encoder option. Include a delay, preserve the relevant log and make repeated failures visible to you.
Check the YouTube Live Control Room during setup and after deliberate recovery tests. If it reports that no data is being received, use this troubleshooting guide for that YouTube message to separate an encoder problem from a stream-key, network or control-room issue.
For some creators, the main problem is not selecting a board but keeping a personal computer awake, connected and available every night. StreamNeo removes that particular operating burden by taking an uploaded video, your YouTube stream key and the continuous broadcast process out of the local computer, while still leaving the channel owner responsible for the content and YouTube setup.
If you do use a Pi, document the physical setup. Label the power supply, note the operating-system image and FFmpeg version, keep a copy of the working configuration, and write down how to reconnect to the board. These small details matter when the stream fails at an inconvenient hour and you are not beside the equipment.
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 Raspberry Pi 4 better than Pi 5 for FFmpeg YouTube streaming?
For a workflow that must encode H.264 using hardware on the board, yes: the Pi 4 is the better-supported fit because Raspberry Pi documents its H.264 hardware encoder. The Pi 5 may suit a software-encoding workflow, but validate the complete command rather than inferring suitability from its newer CPU.
Can Raspberry Pi 5 hardware-encode H.264?
The Pi 5 has no hardware video encoder according to Raspberry Pi’s published technical explanation. Its H.264 output should therefore be planned as software encoding, even though the board includes newer general-purpose processing and video-decoding capabilities.
Can either Raspberry Pi guarantee a 24/7 YouTube stream?
No. The reviewed evidence does not establish a universal uptime guarantee or a directly comparable endurance result for either model running this full workload. Test the actual source, FFmpeg build, output settings, power, cooling, network and recovery process before relying on the channel.
What should I check before sending the stream to YouTube?
Check that the output uses the required codec and a suitable bitrate, CBR behaviour and keyframe interval. Then test file boundaries, network loss, process restarts and power warnings, and confirm the current requirements in YouTube’s official live encoder guidance.