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

In a yr 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 finances of simply $5.5M—considerably decrease than GPT-4o’s ($100M+) coaching value. With 685 billion parameters and a Combination-of-Specialists (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 Movement Chart

Immediate: Create a complete circulate 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 Strategies
Revise/Refine the Output
Repeat Steps 2-5 Till Passable Result’s Achieved
Create a brand new circulate chart now

DeepSeek V3 Output:

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

GPT 4o Output:

Commentary:

The flowchart supplied by V3 is more practical 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 activity for this GPT 4o vs DeepSeek V3 information, I’ve a zebra puzzle from this web site. 

Immediate: Resolve this zebra puzzle and provides me a desk of ultimate consequence. 

DeepSeek V3 Output:

Placing this response on the web site:

GPT 4o Output:

Placing this resolution on the web site:

Commentary:

Whereas each fashions assigned random names to parts 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 reveals a part of a circuit. It consists of resistors mixed in each parallel and collection configurations. Discover the equal resistance.

DeepSeek V3 Output:

GPT 4o Response:

Commentary:

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 method (1/Rt = 1/3 + 1/3 + 1/9 = 7/9) to reach on the ultimate consequence. DeepSeek V3 made crucial errors by incorrectly grouping resistors, misidentifying collection and parallel mixtures, which led to its inaccurate ultimate 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 know the method of making a vector database for Wikipedia information. Then, present a concise abstract of the important thing steps.

DeepSeek V3 Output:

GPT 4o Output:

Commentary:

DeepSeek V3’s rationalization is extra thorough and technically exact, overlaying preprocessing, indexing, and LangGraph integration, together with particular device suggestions like FAISS and Pinecone. GPT-4’s response, whereas clear and well-structured, omits crucial technical parts and simplifies complicated processes. DeepSeek V3’s complete protection and technical depth make it extra helpful 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 components which might be practically equivalent. Nevertheless, there are three parts current within the left picture which might be lacking in the suitable one. Your activity is to establish these lacking parts.

DeepSeek V3 Output:

GPT 4o Output:

Commentary:

V3 was unable to research the picture straight and supplied a generic response. GPT-4 recognized one right distinction, however the remaining variations it instructed had been incorrect.

Verdict:

DeepSeek V3 ❌ | GPT 4o ❌

GPT 4o vs DeepSeek V3: Last Outcome

Additionally Learn:

Finish Be aware

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 sturdy efficiency and free accessibility make it a superb alternative for each builders and organizations looking 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!

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