6 High-Protein Dinner Ideas That Aren't Chicken and Rice

  • Your body needs protein to build muscle, support bone health and the immune system, produce hormones, and perform many other functions. Most adults need at least 0.8 grams of protein per kilogram of body weight per day.
  • Chicken and rice is a high-protein dinner, providing about 25–30 grams of protein, but many dishes offer more protein and flavor.
  • You can make high-protein meals by combining beef, turkey, salmon, eggs, tofu, lentils, beans, grains, dairy, nuts, and seeds.

A portion of chicken and rice provides about 25–30 grams of protein. This is a good amount of protein for a meal, but there are many high-protein dishes with more flavor and texture. 

1. Meat Burrito

Credit: LauriPatterson / Getty Images
Credit: LauriPatterson / Getty Images

Protein: 30-32 grams

Burritos are very versatile and high in protein, especially when you add meat.

One meat burrito provides about 30–32 grams of protein. This protein comes from a serving of ground beef (4 ounces or 113 grams cooked), a slice of cheese, beans (¼ cup), rice (¼ cup), and a tortilla. Adding salsa, spices, lettuce, and tomatoes to these high-protein ingredients makes a delicious dinner.

2. Flaxseed-Coated Turkey Lettuce Wraps

Credit: Tatiana Volgutova / Getty Images
Credit: Tatiana Volgutova / Getty Images

Protein: 28-30 grams

Turkey lettuce wraps make a light, high-protein dinner. Coating the turkey with flaxseed before cooking adds protein and fiber to the dish. 

One wrap provides about 28–30 grams of protein. This comes from a serving of lean ground turkey (114 grams or 4 ounces cooked) and 1–2 tablespoons of flaxseeds used in the coating. You can add your favorite vegetables, herbs, and sauce to boost nutrients and flavor.

3. Baked Salmon With Quinoa

Credit: Olga Mazyarkina / Getty Images
Credit: Olga Mazyarkina / Getty Images

Protein: 44 grams

Salmon is high in protein and healthy fats. You can pair it with other high-protein foods, such as quinoa, which is also rich in carbs and fiber.

One serving of baked salmon with quinoa provides about 44 grams of protein from half a fillet of salmon (154 grams) and cooked quinoa (½ cup). You can also use canned fish, such as tuna or sardines, for convenience.

4. Egg and Chickpea Curry Bowl 

Credit: DronG / Getty Images
Credit: DronG / Getty Images

Protein: 28 grams

Eggs are one of the highest-quality protein sources. Many people eat eggs for breakfast, but they also make a great ingredient for lunch and dinner, adding flavor and protein.

One serving provides about 28 grams of protein, from two eggs, cooked chickpeas (½ cup), cooked buckwheat (½ cup), and 2 tablespoons of sunflower seeds. You can add vegetables like spinach, bell peppers, broccoli, zucchini, or tomatoes to add more fiber and nutrients.

Plant Protein vs. Animal Protein: Does It Make a Difference?

The human body absorbs protein from animal sources more efficiently. This is because animal-based foods such as eggs, meat, and dairy provide all essential amino acids in adequate amounts. Many plant foods are lower in one or more essential amino acids, which can reduce protein quality.

You can increase the protein quality of plant foods by combining whole grains and legumes. Each provides amino acids that the other lacks, so eating them together gives you all the essential amino acids. While this doesn’t make them equivalent to animal protein, it does improve their quality.

5. Tofu and Lentil Stir-Fry

Credit: MEDITERRANEAN / Getty Images
Credit: MEDITERRANEAN / Getty Images

Protein: 30 grams

Tofu and lentil stir-fry is a colorful dinner packed with nutrients. It contains tofu (half a block), lentils (½ cup), vegetables, and a sauce made of balsamic vinegar and soy sauce. This dinner provides about 30 grams of protein. You can also sprinkle seeds on top to add extra protein and texture.

6. Warm Bean and Grain Casserole

Credit: boblin / Getty Images
Credit: boblin / Getty Images

Protein: 20 grams

Bean casserole is easy to prepare with your choice of canned beans, such as chickpeas, black beans, or kidney beans. 

Sauté garlic and vegetables, then combine them with the beans (½ cup), grains (½ cup), tomato sauce, and spices. Bake until heated through, then top with ½ cup of feta and bake until melted. This dinner provides about 20 grams of protein per serving. You can also add tofu cubes for extra protein.

How Much Protein Do You Really Need?

Your body needs protein for building muscle, supporting bone health and the immune system, producing hormones, and many other functions.

How much protein you need can change based on factors like muscle mass, age, sex, genetics, and activity level. Most adults need at least 0.8 grams of protein per kilogram of body weight (g/kg) per day to meet basic needs. You need more protein if you are physically active, have more muscle mass, are older, are recovering from illness or injury, or are trying to build or maintain muscle.

For most healthy adults, eating up to 2 g/kg per day is unlikely to be harmful. Intakes above this level are considered high for many people and may lead to long-term health problems.



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AWS refers to Amazon Web Services. As a cloud computing pioneer, Amazon was the first to enter into the cloud services market ten years ago. In terms of customers and products, Aws Leads. When it comes to cloud service quality, it is considered the benchmark. It provides a variety of Infrastructure as a Service (IaaS) offerings which can be categorized into the database, computing, networking, content delivery, and storage. AWS allows a flexible and smooth data collection flow by using server-less services like AWS Lambda Functions, Amazon SQS Queues, and Amazon Kinesis Streams. AWS offers organizations the ability to select the operating system, database and programming languages, and web application platform according to their needs.

The use of cloud infrastructure resources may be monitored with the help of AWS management tools like Amazon CloudWatch and AWS CloudTrail to monitor user activity and AWS configuration to manage resource inventory and modifications. AWS helps to improve organizational business growth and productivity significantly. Some disadvantages of AWS include complicated infrastructure and default service limitations that are defined based on average user requirements. The data centers of Amazon are the most important of the three cloud providers, and they are located in 77 areas around the world.

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What is Azure:

Azure is the product from Microsoft. Azure was designed to build, deploy and manage diverse applications and services across the vast network of data centers managed by Microsoft. Azure’s services include networking, computing, data management databases, and performance. Azure Site Recovery allows organizations of any size to arrange site-to-site duplication and data recovery to virtual machines that are hosted on Azure itself. Azure provides data storage redundancy or Zone redundant Storage in various data center regions.

Azure ExpressRoute makes it easy to connect the data center to Azure via a private link without the help of the Internet, thus offering greater reliability, increased security, and reduced latency. Azure also has expanded networking abilities that include the support of multiple onsite virtual network connections, as well as the possibility of connecting virtual networks through different regions of one another. Azure offered the lowest request-based and discounted instance prices. Specialized developers can test, write and deploy algorithms with the help of the Azure Machine Learning Studio.

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What is Google Cloud Platform:

With a responsive interface, reduced costs, flexible compute options, and preemptible instances, GCP is an interesting alternative for AWS and Azure. Google uses complete encryption on all communication and data channels, that includes traffic between data centers. Few areas in which Google Cloud competes strongly with AWS include configurability of instances and payments, privacy and traffic security, profitability, and machine learning. These three cloud providers, while providing discounts of up to 75% for one to three years commitment, Google also offers a sustained usage reduction of up to 30 percent on each type of instance operating for over 25 percent every month. Google has a number of standard APIs for natural language processing, computer vision, and translation. Machine learning engineers can create models using the open-source TensorFlow deep learning library of Google Cloud Machine Learning Engine.

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Comparison between Amazon Web Services, Microsoft Azure, and Google Cloud Platform:

The differences among the top three cloud services are observed by examining them using various parameters like storage, compute, locations, databases, and documentation.

  • Storage: Amazon web services provide Amazon S3 (S3 indicates Simple Storage Service), which is the best option for storage with complete documentation, proven technology, with appropriate community support. Google Cloud Storage and Microsoft Azure Storage provide reliable storage services too.
  • Compute: AWS provides the Elastic Compute Cloud, which manages all computing services by controlling virtual machines that have pre-configured parameters and which can be configured by users as needed. Azure provides Virtual Machines as well as Virtual Machines Scale sets, whereas GCP offers the Google Compute Engine that carries out the same functions.
  • Databases: Numerous database services and tools options are available from all primary service providers. Amazon’s relational database service will support the main databases like PostgreSQL and Oracle and handles everything from update to patch. The Azure SQL Database provides SQL database management functions for Azure, whereas this is Cloud SQL for GCP.
  • Documentation: All the three cloud service providers provide very high-quality documentation even though AWS performs better than GCP and Azure.
  • Location: Azure, AWS, and GCP provide excellent worldwide coverage and guarantee optimal application performance with the shortest possible route to the target audience. Amazon is available in 77 areas, while Azure is available in 60 regions and Google is available in 33 countries, with more recent regions added on a regular basis.

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Now let us compare the pricing of AWS, Azure, and Google Cloud

The following is a comparison of the AWS, Azure, and GCP pricing models according to the type of machine they offer:

Small Instance: In AWS, the small instance includes 8GB RAM and two virtual CPUs. It will cost us about 69 US dollars per month. While for the same instance of 8GB RAM and two virtual CPUs in Azure will cost us about 70 US dollars per month. Compared to AWS, GCP will provide us with a very basic instance that contains two virtual CPUs and 8GB of RAM at a rate of 25 percent cheaper. As a result, it will cost us approximately 52 US dollars per month.

Largest Instance: The biggest instance provided by AWS contains 3.84TB of RAM and 128 virtual CPUs, and it will cost us approximately 3.97 US dollars per hour. While for the same instance of 3.84TB of RAM and 128 virtual CPUs, it will cost us approximately 6.79 US dollars per hour. GCP is leading the way with the largest instance comprising 3.75TB of RAM and 160 virtual CPUs. The cost will be approximately 5.32 US dollars per hour.

Recently AWS has started providing pay-per-minute billing. Azure is already providing the same service, whereas Google cloud is providing pay-per-second billing that saves the users money. It also helps the users by providing a number of discounts which saves the money of Users upto 50 percent.

Conclusion

In this blog, we have compared Amazon Web Services, Microsoft Azure, and Google Cloud Platforms. We hope that you found this information useful and you will be able to decide what is best for you. And If you are seeking any information related to any cloud service platform, you can keep in touch with us.

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