GPT-4 Turbo vs DeepSeek-R1: A Detailed Comparison of Features and Performance

• GPT-4 Turbo: An OpenAI model that accepts a single input of 128K tokens and produces requests with tokens (4,096). This model was released on April 9th, 2024, and its last knowledge update was in December 2023. It is not open-source.

• DeepSeek-R1: A newer AI model with a superb architecture of 671 billion worldwide parameters but it only utilizes 37 billion at any given time. It was released on January 21st, 2025, but the knowledge cut-off date remains unacquainted. It is open-source and aimed for reasoning tasks.

• Input Capacity: 128K tokens input is supported for both.

• Output Capacity:

• GPT-4 Turbo: 4,096 tokens per every response.

• DeepSeek-R1: 32K tokens per every response.

• Open Source Availability:

• GPT-4 Turbo: No.

• DeepSeek-R1: Yes.

• Release Dates:

• GPT-4 Turbo: April 9th, 2024.

• DeepSeek-R1: January 21st, 2025.

• Knowledge Cut-off Date:

• GPT-4 Turbo: December 2023.

• DeepSeek-R1: Unspecified.

• Who Provides It:

• GPT-4 Turbo: OpenAI, Azure OpenAI Service.

• DeepSeek-R1: DeepSeek, Hugging Face.

• Image Processing Support:

  • GPT-4 Turbo: Yes.

• DeepSeek-R1: No.

• Input Cost (Per Million Tokens):

• GPT-4 Turbo: $10.00

• DeepSeek-R1: $0.55

• Output Cost (Per Million Tokens):

• GPT-4 Turbo: $30.00

• DeepSeek-R1: $2.19

• Price Efficiency:

• DeepSeek-R1 is around 14.6 times cheaper than GPT-4 Turbo.

The total expenditures for the services shall be divided in two aspects: Input and Output. DeepSeek-R1 seems more optimal than the GPT… Also, one can see that Archie DeepSeek outmatches GPT-4 Turbo by almost 14.6 times. These two pieces of information alone require one to investigate the quality of service.

• General Knowledge (MMLU - tests knowledge across 57 subjects):

• GPT-4 Turbo: 85.4%

• DeepSeek-R1: 90.8%

• Advanced Reasoning (MMLU-Pro - harder reasoning questions):

• GPT-4 Turbo: 63.71%

• DeepSeek-R1: 84%

• Code Writing (HumanEval):

• GPT-4 Turbo: 86.6%

• DeepSeek-R1: Not available

• Math Skills (MATH Benchmark):

• GPT-4 Turbo: 64.5%

• DeepSeek-R1: Not available

• Science Knowledge (GPQA - tests chemistry, biology, physics):

• GPT-4 Turbo: Not available

• DeepSeek-R1: 71.5%

• Instruction Following (IFEval - accuracy in following instructions):

• GPT-4 Turbo: Not available

• DeepSeek-R1: 83.3%

• Where GPT-4 Turbo Shines: It’s great for image-based tasks, general AI applications, and coding-related work.

• Where DeepSeek-R1 Stands Out: It’s much cheaper, open-source, better at reasoning tasks, and follows instructions well.

• Who Should Use What?

• Choose GPT-4 Turbo if you need a well-rounded AI for images, text, and coding.

• Choose DeepSeek-R1 if you want an affordable, open-source AI with strong reasoning abilities.

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