Get a detailed comparison of AI language models OpenAI's GPT-4 and DeepSeek's DeepSeek-V3, including model features, token pricing, API costs, performance benchmarks, and real-world capabilities to help you choose the right LLM for your needs.

Jan 2, 2025 · DeepSeek-V3 is THE new open-weights star, and it's a heavyweight at 671B, with 37B active parameters in its Mixture-of-Experts architecture. I tested it through the official DeepSeek API and it was quite fast (~50 tokens/s) and …

Cost vs performance of select AI models. MMLU Redux ZeroEval Score (multi -subject performance) Input API price, US$ per million tokens (log scale) ... • Some AI analysts believe that DeepSeek sent prompts to a GPT- 4 or Chat GPT teacher model, and then used the responses to train own student model, at least for part of the training ...

Dec 26, 2024 · MMLU-Pro (Knowledge Understanding): DeepSeek-V3: 75.9% (second best). Slightly behind GPT-4 (78%), outperforming all other models. GPQA-Diamond (Complex QA): DeepSeek-V3: 59.1%

Jan 28, 2025 · Eager to understand how DeepSeek RI measures up against ChatGPT, I conducted a comprehensive comparison between the two platforms. By presenting them with a series of prompts ranging from...

• Knowledge: On benchmarks such as MMLU, MMLU-Pro, and GPQA Diamond, DeepSeek-R1 achieves outstanding results, significantly outperforming DeepSeek-V3 with scores of 90.8% on MMLU, 84.0% on MMLU-Pro, and 71.5% on GPQA Diamond. While its performance is slightly below that of OpenAI-o1-1217 on these benchmarks, DeepSeek-R1

While public benchmarks show Deepseek performing exceptionally well in certain logical tasks, GPT-4o maintaining strong general performance, o3 with strong reasoning performance, and Llama-3-70B offering a balanced open-source approach, your specific use case may yield different results.

Dec 31, 2024 · DeepSeek V3 has demonstrated superior performance over models like GPT-4o in key benchmarks, including MMLU-Pro, MATH 500, and Codeforces. Additionally, its cost-effective API pricing makes it...

Jan 31, 2025 · DeepSeek has compared its V3 model with ChatGPT 4o, Llama 3.1, and Claude 3.5 based on numerous benchmarks that calculate its prowess in English language and coding: Now that we’ve discussed benchmarks, let’s see how these AI models perform in real life:

Jan 29, 2025 · With 685 billion parameters and a Mixture-of-Experts (MoE) architecture, DeepSeek V3 competes strongly in areas like coding and translation, while offering cost efficiency and open-source flexibility. Let’s explore how DeepSeek V3 compares to GPT-4o and what it brings to the table for AI development.