DeepSeek V3 vs GPT-4o: Which is Higher?

In a 12 months marked by OpenAI’s notable releases like GPT-4o, Sora, and o1, the open-source neighborhood has been steadily advancing with its personal spectacular fashions. Amongst them is DeepSeek V3, an open-source mannequin developed on a price range of simply $5.5M—considerably decrease than GPT-4o’s ($100M+) coaching value. With 685 billion parameters and a Combination-of-Consultants (MoE) structure, DeepSeek V3 competes strongly in areas like coding and translation, whereas providing value effectivity and open-source flexibility. Let’s discover how DeepSeek V3 compares to GPT-4o and what it brings to the desk for AI growth.

Process 1: Create a Circulate Chart

Immediate: Create a complete stream chart illustrating the Reflection Sample in Agentic AI.
These are the steps concerned in reflection patter –

Generate Preliminary Output
Self-Overview/Critique the Output
Establish Errors, Gaps, or Enchancment Areas
Develop Enchancment Options
Revise/Refine the Output
Repeat Steps 2-5 Till Passable Result’s Achieved
Create a brand new stream chart now

DeepSeek V3 Output:

+---------------------+
| Generate Preliminary Output |
+---------------------+
|
v
+---------------------+
| Self-Overview/Critique the Output |
+---------------------+
|
v
+---------------------+
| Establish Errors, Gaps, or Enchancment Areas |
+---------------------+
|
v
+---------------------+
| Develop Enchancment Options |
+---------------------+
|
v
+---------------------+
| Revise/Refine the Output |
+---------------------+
|
v
+---------------------+
| Is the Outcome Passable? |
+---------------------+
|
+--------+--------+
|                 |
v                 v
Sure                No
|                 |
v                 v
+---------------------+
| Ultimate Output        |
+---------------------+
|
v
+---------------------+
| Finish                 |
+---------------------+

GPT 4o Output:

Statement:

The flowchart supplied by V3 is simpler than GPT-4o’s as a result of it clearly outlines the actions to take primarily based on whether or not the result’s passable or not.

Verdict:

DeepSeek V3 ✅ | GPT 4o ❌

Process 2: Zebra Puzzle 

The primary process for this GPT 4o vs DeepSeek V3 information, I’ve a zebra puzzle from this web site. 

Immediate: Clear up this zebra puzzle and provides me a desk of ultimate outcome. 

DeepSeek V3 Output:

Placing this response on the web site:

GPT 4o Output:

Placing this resolution on the web site:

Statement:

Whereas each fashions assigned random names to components the place info was unavailable, V3 appropriately resolved the issue, whereas GPT-4o failed to take action.

Verdict:

DeepSeek V3 ✅ | GPT 4o ❌

Process 5: Physics Circuit Drawback

Immediate: Determine exhibits a part of a circuit. It consists of resistors mixed in each parallel and sequence configurations. Discover the equal resistance.

DeepSeek V3 Output:

GPT 4o Response:

Statement:

When evaluating the options from DeepSeek V3 and GPT-4 for the given resistor community, GPT-4’s calculation of 1.29 Ω is right whereas DeepSeek V3’s results of 3.59 Ω is wrong. GPT-4 correctly recognized the circuit’s construction with three parallel branches: (R1+R2=3Ω), R3=3Ω, and (R4+R5=9Ω), then precisely utilized the parallel resistance components (1/Rt = 1/3 + 1/3 + 1/9 = 7/9) to reach on the remaining outcome. DeepSeek V3 made crucial errors by incorrectly grouping resistors, misidentifying sequence and parallel mixtures, which led to its inaccurate remaining calculation.

Verdict:

DeepSeek V3 ❌ | GPT 4o ✅

Process 4: Article Abstract

Immediate: Learn the article at https://www.analyticsvidhya.com/weblog/2024/07/building-agentic-rag-systems-with-langgraph/ to grasp the method of making a vector database for Wikipedia knowledge. Then, present a concise abstract of the important thing steps.

DeepSeek V3 Output:

GPT 4o Output:

Statement:

DeepSeek V3’s clarification is extra thorough and technically exact, protecting preprocessing, indexing, and LangGraph integration, together with particular software suggestions like FAISS and Pinecone. GPT-4’s response, whereas clear and well-structured, omits crucial technical components and simplifies advanced processes. DeepSeek V3’s complete protection and technical depth make it extra priceless for sensible implementation, although GPT-4 excels in presenting info in an accessible format.

Verdict:

DeepSeek V3 ✅ | GPT 4o ❌

Process 5: Discovering Variations

Immediate: The picture is split into two elements which might be practically equivalent. Nonetheless, there are three components current within the left picture which might be lacking in the best one. Your process is to establish these lacking components.

DeepSeek V3 Output:

GPT 4o Output:

Statement:

V3 was unable to investigate the picture instantly and supplied a generic response. GPT-4 recognized one right distinction, however the remaining variations it advised have been incorrect.

Verdict:

DeepSeek V3 ❌ | GPT 4o ❌

GPT 4o vs DeepSeek V3: Ultimate Outcome

Additionally Learn:

Finish Notice

DeepSeek V3 proves that open-source fashions can compete with and even surpass industrial fashions like GPT-4o, whereas costing considerably much less to coach ($5.5M vs $100M+). Its robust efficiency and free accessibility make it a superb selection for each builders and organizations searching for highly effective AI capabilities with out industrial constraints.

I’m actually excited to make use of DeepSeek V3 and discover its full vary of options. What about you? Share your ideas within the feedback beneath!

Hey, I’m Nitika, a tech-savvy Content material Creator and Marketer. Creativity and studying new issues come naturally to me. I’ve experience in creating result-driven content material methods. I’m properly versed in search engine optimisation Administration, Key phrase Operations, Internet Content material Writing, Communication, Content material Technique, Enhancing, and Writing.