Apple AirPods Max 2 Review: Seemingly Small Changes Make a Substantial Difference


Pros

  • Surprisingly comfortable despite being heavy
  • Impressive build-quality and sound (improved slightly)
  • H2 chip delivers powerful performance and feature upgrades
  • USB-C audio for hi-res wired listening
  • Personalized spatial audio for Apple devices
  • Upgraded amplifier
  • Improved adaptive noise canceling and transparency mode are top-notch
  • Voice Isolation slightly improves performance for calls
  • Automatic switching between iOS devices on your iCloud account (multipoint Bluetooth)

Cons

  • Expensive
  • No USB-C to 3.5mm cable included for wired use on planes
  • Didn’t get Apple’s H3 chip, rumored to be in development
  • Android users lose several key features
  • Minimalist smart case has same hit-or-miss design and protection

In the fall of 2024, Apple transitioned its original AirPods Max headphones from Lightning to USB-C connectivity. Many people, including me, were surprised that Apple didn’t offer a more significant upgrade, such as swapping the H1 chip for the newer, more powerful H2 chip and improving the headphones’ overall performance and feature set. At that time, the Max were almost four years old, and the AirPods Pro 2 were already using the H2. So it seemed like a logical move. But Apple had other plans. 

The purple version of the AirPods Max 2 laying on their side on a slate surface

The AirPods Max 2 in purple.

David Carnoy/CNET

Which brings us to the AirPods Max 2. Announced out of the blue shortly after Apple released its budget-friendly MacBook Neo ($599) to great fanfare, they’re essentially the Max upgrade I was hoping for 18 months ago. Priced at $549, the same as the original, they look identical to their predecessor but now include a new “dynamic range” amplifier and the aforementioned H2 chip, which adds a host of features already available in the AirPods Pro 2, AirPods Pro 3 and AirPods 4 and helps improve the headphones’ performance in a few key ways. 

Understandably, some folks may be disappointed that Apple hasn’t ushered in even more changes with the Max 2, particularly on the design front. While the upgrades may seem perfunctory, they turn out to be more significant than I expected. In my tests, I found the noise-canceling performance noticeably improved, and the sound quality, already quite good, has been leveled up slightly. On top of that, the H2 chip adds useful features and helps enhance voice-calling performance and transparency mode. Though they’re too pricey for most people, they’re easily among the top noise-canceling headphones and offer some real advantages for Apple users, particularly in terms of features and usage. And that’s why I’ve awarded them a CNET Editors’ Choice. 

Read moreBest headphones of 2026

The Apple AirPods Max 2 in purple sitting next to a pair of blue AirPods Max (USB-C)

The AirPods Max 2 come in the same colors as the AirPods Max USB-C, pictured at left in blue.

David Carnoy/CNET

What’s the same between the AirPods Max and Max 2

  • Design: The Max 2 have the same design and dimensions as the Max. They both weigh 13.6 ounces (or 386.2 grams).
  • Case: They come with the same protective smart case that not everyone loves, due to its purse-like aesthetic. 
  • Color options: They’re available in the same five color options (blue, purple, midnight, starlight, orange).
  • Battery life: Both models are rated for up to 20 hours with noise canceling.
  • USB-C audio: They both support 24-bit/48kHz lossless audio when connected with the included USB-C cable.
  • No cord for in-flight entertainment systems: Apple still doesn’t include a cord with a 3.5mm analog audio connector, so you can plug the headphones into the headphone jack on an in-flight entertainment system (or any headphone jack on any device). You have to purchase a USB-C to 3.5mm cable as an optional accessory for $35. You’d think that such a cable would be included with headphones that cost $549. (Note that a standard USB-C to 3.5mm cable won’t work; you must use Apple’s official cable.)

AirPods Max 2 feature upgrades

The Max 2 now have most of the same features as Apple’s latest earbuds. I’ve always been a fan of Apple’s Conversation Awareness feature, which is similar to Sony’s Speak-To-Chat feature (Sony did it first). When activated, it automatically lowers the volume on the Max 2 when you start to talk and shifts to transparency mode, enabling you to have a conversation with someone without taking the cans off your ears. It’s also worth noting that while the headphones have the same nine-microphone array as the original AirPods Max, the H2 chip does a better job making recorded audio sound cleaner and more natural, which content creators in particular will appreciate. Apple refers to this feature as “studio-quality audio recording.”

I’m not going to go through every new feature in detail, but here’s a quick look at the main additions, most of them courtesy of the H2 chip.      

  • Adaptive Audio: Based on the noise levels in your environment, the Max 2 automatically adjusts ANC levels and transparency to optimize the audio experience.
  • Conversation Awareness: When you start speaking to someone, the volume of whatever you’re listening to is reduced, and the headphones enter transparency mode so you can have a conversation without taking them off.
  • Studio-quality audio recording: Allows you to record content with higher-quality audio and a more natural vocal texture (as noted previously, Apple pitches this feature toward content creators).
  • Camera Remote: You can capture content at a distance by pressing the Digital Crown to take a photo and start or stop video recording while using the Camera app or compatible third-party camera apps on iPhone or iPad.
  • Live Translation: Allows for near real-time translations of what people are saying in another language.
  • Loud Sound Reduction: ANC automatically kicks in to prevent exposure to loud environmental noise while preserving the sound signature of what you’re listening to.
  • Personalized Volume: Your listening experience is automatically fine-tuned based on your preferences over time.
  • Siri interactions: You can respond to Siri announcements by simply nodding your head yes or shaking your head no.
  • Low latency over Bluetooth: Playing iOS, MacOS and iPadOS games in Game Mode reduces audio latency when using the Max 2 wirelessly. The AirPods Max (USB-C) offered low latency for gaming but only with a wired USB-C connection. 
  • Bluetooth 5.3: While the AirPods Max 2 don’t have Bluetooth 6.0, their Bluetooth 5.3 is an upgrade over the Max’s Bluetooth 5.0. 
  • Voice Isolation: Filters out background noise while isolating your voice so people can hear you better on voice and video calls. 

Shot of the Conversation Awareness feature on an iPhone 16 Pro

Conversation Awareness is a feature that lends itself well to the AirPods Max 2. 

David Carnoy/CNET

Leveled up noise canceling and transparency mode

The noise canceling of the original AirPods Max was (and still is) very good and was neck-and-neck with Sony’s and Bose’s noise canceling for a few years (the AirPods Max were unveiled in December 2020). Both Bose and Sony moved slightly ahead with their latest models, the Bose QuietComfort Ultra Headphones (Gen 2) and Sony WH-1000XM6. But as I said, the AirPods Max 2’s noise canceling is noticeably improved and is once again right up there with Sony’s and Bose’s, and perhaps even a touch better. 

Apple says that based on its measurements, the Max 2’s noise-canceling is 1.5x better. All I can tell you is that the headphones did a really impressive job muffling the cacophony of sounds in the streets of New York City. I could still hear higher-pitched sounds such as sirens, car horns and people’s voices to a certain degree, but lower frequencies were noticeably cut down, and everything was reduced to a low din.

Close up of the AirPods Max 2's ear pads in purple

The AirPods Max 2’s ear pads passively seal out a decent amount of ambient sound. They adhere magnetically and are removable and replaceable. 

David Carnoy/CNET

I also do a test with a somewhat noisy HVAC unit in my apartment that creates a low rumble when it pumps out cold or warm air, depending on whether it’s set to heat or cool. When I went to adjust the thermostat to have the heat kick on, I was wearing the headphones. I stood there listening and couldn’t tell whether the unit had flipped on, so I switched to transparency mode and realized that it was indeed running. After I switched back to noise-canceling mode, I could hear a faint hum, but it was barely audible. 

Apple’s transparency mode has long been the gold standard, and the Max 2’s transparency mode sounds even slightly more natural. By that, I mean that when you’re in transparency mode, even with the headphones on, you pretty much experience the outside world as if your ears were uncovered. 

Slightly cleaner sound with improved bass performance

Comparing the original Max with the Max 2, the differences in sound quality are subtle but noticeable. Apple doesn’t have equalizer settings for you to play around with like most headphones do and instead uses its Adaptive EQ to optimize sound on the fly. The two headphones have a very similar sound signature that’s balanced and pretty accurate. However, the new amp and the H2 chip’s additional processing power (Apple has retuned Adaptive EQ for the H2 chip) allow for a bit cleaner, more natural sound that’s nearly distortion-free.

I didn’t notice that much of a change to the highs and mids. But whenever I hit a track with a harder bass line — or just more bass in general — the quality of the bass jumped out at me. Not only did it seem to hit harder, but it was tighter and more naturally sounding. 

The Max 2 sound a little more precise overall and have slightly better separation between instruments so you can hear them a little more distinctly. That extra bit of precision helps with spatial audio, whether you’re listening to music or watching movies. (I listened to a bunch of new tracks recorded in spatial audio using Apple Music, including Gorillaz’ The Mountain album, Harry Styles’ new album Kiss All the Time, Disco Occasionally and the soundtrack to the movie Hamnet).

Close up of the AirPods Max 2's smart case

Apple’s minimalist smart case returns for the next-generation AirPods Max 2. It’s still not my cup of tea.

David Carnoy/CNET

You do get a little bump in sound quality listening in wired mode with USB-C audio. It’s not a huge difference, but there’s a touch more clarity and depth to the audio. I listened to lossless tracks on Apple Music and Spotify, as well as some FLAC files I have stored on my MacBook Pro. The headphones support 24-bit/48 kHz lossless audio with the included USB-C cable or Apple’s optional USB-C to 3.5mm cable (around $35). (By comparison, the spec for CD quality is 16-bit/44.1 kHz, though some audiophile sites offer 24-bit/192kHz files).  

I spent some time comparing the Max 2 to Sony’s WH-1000XM6 headphones, which list for $449 and earned a CNET Editors’ Choice award. The Max 2 offer more clarity and dynamic sound while the XM6s are a little warmer and more forgiving. My ears tend to gravitate toward more revealing headphones, such as the Max 2, but they can make badly recorded tracks sound even worse. 

Both the Max 2 and XM6s sound excellent in their own way. Without listening to the Max 2, you’d probably think Sony’s sound is nicely detailed and accurate, with very good bass definition. But flipping back and forth between the two headphones, the Max 2 come across as more aggressive and intimate while the XM6s are a little more laid back. 

You get a slight sound quality bump with a wired USB-C connection.

David Carnoy/CNET

Voice-calling improvements 

As I said, Apple didn’t upgrade the microphones, but the H2 chip supports Apple’s Voice Isolation feature. This is a little confusing because you can activate Voice Isolation on your iPhone, but iPhone Voice Isolation uses your phone’s microphones to filter out background noise and isolate your voice. Meanwhile, Voice Isolation on the Max 2 and Apple earbuds such as the AirPods Pro 3 leverage the H2 chip and the headphones’ (or earbuds’) microphones to filter out ambient sound while honing in on your voice using computational audio. This form of Voice Isolation is considered superior.

I made several test calls. Callers said they could hear almost nothing in the background, even when I was in the noisy streets of New York with some wind kicking up now and then. The consensus was that they could hear me fairly clearly the majority of the time, but the tone of my voice would sporadically shift and become low or sound digitized before going back to being more loud and clear. In short, I sounded a little uneven.

In quieter environments, when I was on either a voice or video call, I was told that I sounded great. In all, they offer top-tier voice-calling performance, but from my tests, the Sony WH-1000XM6 are just as good for voice calling, if not slightly better in noisy environments. However, Apple users get added optimization for FaceTime calls with what Apple calls “studio-quality voice,” so that’s worth noting if you use FaceTime regularly. 

apple-airpods-max-2-crown

The digital crown controls playback and allows you to answer and end calls. You can also answer or decline a call with head gestures. 

David Carnoy/CNET

Apple AirPods Max 2 final thoughts

When Apple first announced the AirPods Max 2, I was bit underwhelmed with the upgrades it was touting because they didn’t offer anything new beyond what was already available in the AirPods Pro 3. Also, part of me was hoping that not only would we get some design updates, including a new case, but that the next AirPods Max would be the first AirPods to include Apple’s H3 chip, which was rumored to be in development.

Now that I’ve used the Max 2 for a couple of weeks, I’ve changed my mind a bit. While I still don’t care for their case, the upgrades are more meaningful than I thought and help make the headphones’ high price a little more palatable. (It may take a few months, but I do expect to see the Max 2 discounted on Amazon to closer to what the Max used to cost — around $480 to $500.)

When you factor in the improved noise canceling, sound quality, voice-calling performance and new features, they do seem to be about 20% better than their predecessor. That may not seem like a huge difference, but it’s greater than you may imagine and makes them easier for me to recommend with more enthusiasm. 

The truth is that before the Max 2 arrived, I would have told you to get Sony’s WH-1000XM6 headphones instead of the Max, which just seemed a little behind the times. But now that the Max 2 are here, as I said earlier, they do offer some real advantages to Apple users from a features and usage standpoint. So as long as you’re good with the Max 2’s fit, they’re a pretty safe choice if you can afford them.





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By utilizing a combination of tools, processes, and ideas referred to as devops, software development and delivery can be completed more quickly and effectively. The term “development” and “operations,” or DevOps, combines the two academic disciplines. In the DevOps culture, developers and operational staff should collaborate and communicate effectively. DevOps aims to automate and streamline the software development process. DevOps has the advantages of reducing the software development cycle and improving software quality. DevOps also helps to increase software stability and lower the likelihood of errors. Increased productivity, cheaper expenses, and better software quality are just a few benefits of DevOps.Any firm that wants to remain competitive in the market must implement DevOps, which is an important component of the current software development process.

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What is Python?

The Python programming language includes several characteristics that make it useful and easy to use. Python is an interpreted, general-purpose programming language. Guido van Rossum created the design on December 3, 1989, adhering to the adage “There’s only one way to do it, and that’s why it works.” Python’s syntax enables programmers to write less code than they would in languages like C++ or Java in order to express ideas. Python has dynamic typing and garbage collection. Procedural, object-oriented, and structured programming paradigms are among the ones it supports.

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Python for DevOps

Python is an effective programming language that is widely used in a variety of industries. Python has gained ground in the DevOps community recently. A group of procedures known as “DevOps” enables companies to reliably and swiftly build software. Python is frequently used in DevOps because it is easy to learn and has a variety of powerful libraries that can be utilised for automation and monitoring. You might be wondering how Python can help your work if DevOps is new to you. In this article, we’ll offer you a brief overview of some of the ways Python may be used for DevOps.

Reasons For Using Python For DevOps:

Python is a well-liked programming language that has a reputation for being readable and easy to learn. It has gained popularity and acceptance in the DevOps world as a scripting and task automation language. There are many reasons why Python is used for DevOps, however, some of the most common ones are its

  • Versatility– Python is a versatile language that can be used for a variety of purposes, from simple automation projects to complex scripts.
  • Popularity – A significant development community is accessible to support your project because it is a commonly used language.
  • Easy to learn– For those who are new to DevOps, Python is a good choice because it is easy to use and very simple to master.

These are some of the most frequent justifications for using Python for DevOps, however there are many more.

  • Python is a powerful language
  • A well-liked programming language is Python. We can create scripts for the enhanced development life cycle thanks to the wide range of Python libraries.
  • The frameworks needed to create understandable, well-structured automation programmes are provided by Python.
  • Python is especially effective for orchestration and infrastructure automation.
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  • Despite Ruby’s ability to do some things that Python can do, Python is still preferred because of its simple syntax and readability.

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How Python And DevOps Work Together?

Python is a popular language for DevOps because it is legible, dependable, and easy to grasp. DevOps is not a Python-only discipline, but the two can work very well together. Let’s examine the numerous Python DevOps applications, such as monitoring, automation, and others. Python is a versatile language that can be applied to a variety of tasks, such as automating standard DevOps procedures like testing and deployment. Python can also be used for monitoring tasks like activity logging and measuring server performance. Python is a great language for beginners in DevOps because it’s easy to learn.

How Python is Used in DevOps?

Python is used in DevOps to serve several purposes. Let us learn about a few of them

Monitoring

Powerful scripting languages like Python are frequently utilized in many different industries, including DevOps. Monitoring activities are routinely automated using Python. In DevOps, monitoring refers to the process of keeping track of a system’s performance and health. Python-based programmes are widely used for automation, however it can be done manually. Python is a well-liked alternative for monitoring since it is straightforward to use and can be rapidly integrated with other tools and systems. Python has various libraries that may be used for monitoring, making it a particularly effective tool for DevOps. Python is just one of the many tools and programming languages used in DevOps, but it is incredibly important to the process. Python is a great choice for the job of monitoring because of its adaptability and simplicity. DevOps professionals can use it to do their tasks more quickly and more efficiently.

CI/CD and Configuration Management Pipelines

Python is rapidly replacing other languages as the standard for DevOps automation. It is adored for its adaptability, usability, and potent libraries. Due to the fact that it can be used for both scripting and automation, Python is a popular choice for DevOps. Python is an excellent alternative for organizations who are new to DevOps because it is very simple to learn. Last but not least, Python has a robust ecosystem of tools and modules that may be applied to a range of DevOps tasks. CI/CD stands for Continuous Integration/Continuous Delivery in the field of DevOps. Code updates are automatically built, tested, and pushed to production using the CI/CD process.

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Deployment

Python is a versatile language that may be used for web development, scientific computing, data analysis, artificial intelligence, and other applications. Python’s simplicity and readability have helped it gain appeal in the DevOps sector during the past few years. Several deployment techniques, including automation and configuration management, can be utilised with Python. Python can assist you in managing your infrastructure more successfully by automating tedious tasks. It can also be used to write original scripts that automate specific procedures. Overall, Python is a powerful tool that could simplify and hasten the deployment process for you.

Cloud Automation

Python is an extremely capable programming language with many features that make it perfect for cloud automation and DevOps. For instance, because Python is an interpreted language, it can be used without first compiling code. This might be helpful for testing and troubleshooting code modifications. There are a tonne of materials available for learning and using Python because of its sizable and active community. Python can also be used to automate a number of cloud-based tasks, such as deploying code changes, setting cloud resources, and checking the status of cloud services. DevOps teams can utilize Python to build scripts that automate these processes, allowing for a shorter development and deployment cycle.Overall, Python is a flexible language that may be applied to a wide range of cloud computing tasks.

Extending DevOps Tools

Python is widely used to enhance already existing DevOps solutions. For instance, many DevOps tools accept plugins or custom scripts built on the Python programming language. Using these technologies allows you greater freedom and customization. DevOps typically uses Python to automate procedures. Errors could be reduced and processes could be sped up as a result. Python can be a useful tool in DevOps for expanding existing tools and automating procedures, all things considered. As a result, your DevOps processes might become more reliable and effective.

It is platform-independent

The DevOps sector uses Python, a potent scripting language. Python may be used with any operating system due to its platform independence. Python is a wonderful choice for DevOps since it can automate processes on a variety of platforms. For DevOps engineers who are new to scripting, Python is a fantastic alternative because it is also fairly simple to learn. Furthermore, because Python is an interpreted language, scripts can be run immediately from the command line without having to first go through a compilation process. As a result, Python scripts are now more flexible and straightforward to run on different systems. Overall, Python is a great platform for DevOps since it is user-friendly and cross-platform. Python doesn’t need to be compiled before use and can be used to automate tasks across a variety of platforms.

Simple syntax

Python is a potent programming language that automates tedious tasks, lowers the likelihood of mistakes, and saves time. For software deployments, builds, and configuration management in DevOps, it is often used. Its concise syntax makes it easy to comprehend and use, yet its comprehensive libraries allow for powerful programming. Python’s simple syntax can be used in applications for DevOps. Python allows for the automation of all but the most common DevOps jobs.

Flexible and easily maintainable scripts

Python’s popularity as a scripting language is in part due to how straightforward and flexible it is. Python scripts can be used for a variety of DevOps tasks, including task automation and infrastructure management. Python is the ideal language for DevOps specialists since it is simple to read, understand, and maintain. The extensive standard library of Python and its community-supported modules also make it straightforward for DevOps specialists to automate a wide range of tasks. Python is a crucial scripting language for DevOps experts because of how widely used and efficient it is.

Lightweight

Python is a versatile language that can be used in a range of settings, such as web development and DevOps. One aspect of Python’s popularity in the DevOps world is the use of lightweight characteristics. The term “lightweight” in DevOps refers to the amount of code required to carry out a particular task. Python’s incredibly condensed syntax allows for a lot to be done with very little code. This is beneficial when working in a DevOps environment where efficiency and speed are crucial. Of course, Python isn’t the only language that can be utilised in DevOps. But the fact that it is seen as a rapid and efficient language is one factor in its acceptability in society.

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 Conclusion:

Python is a strong programming language that is being used widely in many different industries. One of the most popular sectors for Python programmes is DevOps. The DevOps model for software development places a strong emphasis on collaboration, automation, and communication between software engineers and IT professionals. Python is commonly used in DevOps due to its ease of learning and abundance of useful modules that may automate procedures. Python can be used by DevOps professionals to automate a number of tasks, including code deployment, configuration management, and infrastructure provisioning. Python may be used to manage and monitor a variety of systems. DevOps professionals may work more swiftly and productively with Python.

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