Key Highlights
Model Size: Deepseek R1 0528’s 685B MoE design is significantly larger than OpenAI o3’s estimated 200B.
Architecture: Both use MoE, but DeepSeek is tuned for reasoning, OpenAI o3 for versatility.
Language Support: OpenAI o3 supports more languages, while Deepseek R1 0528 focuses on English and Chinese.
Multimodal: OpenAI o3 supports text, image, and audio; Deepseek R1 0528 is text-only.
Context Length: OpenAI o3 offers a much longer context window (200k vs 64k).
Reasoning & Code: Deepseek R1 0528 outperforms OpenAI o3 in logic-heavy benchmarks like AIME 2024.
Speed: OpenAI o3 is significantly faster and better for real-time applications.
Price: Deepseek R1 0528 is far cheaper on Novita AI, making it more cost-effective.
On May 28, 2025, Deepseek released an upgraded version of R1, which reportedly delivers significant improvements in handling complex reasoning tasks and offers a better experience for vibe coding. In this article, we’ll compare the reasoning capabilities and vibe coding performance of Deepseek R1 0528 against the well-known industry model OpenAI o3.
- Deepseek R1 0528 vs OpenAI o3: Reasoning and Code Performance
- Deepseek R1 0528 vs Open AI o3: Basic Introduction
- Deepseek R1 0528 vs Open AI o3:Benchmark
- Deepseek R1 0528 vs Open AI o3: Speed
- DeepSeek R1 0528 vs Open AI o3: Price
- Deepseek R1 0528 vs Open AI o3: Application
- How to Access DeepSeek R1 0528 on Novita AI
Deepseek R1 0528 vs OpenAI o3: Reasoning and Code Performance
Reasoning Tasks
Prompt: Write a Python program that shows a ball bouncing inside a spinning hexagon. The ball should be affected by gravity and friction, and it must bounce off the rotating walls realistically
Deepseek R1 0528

Open AI o3
Vibe Code Tasks
Prompt: Build a PDF summary web app + UI concept
Deepseek R1 0528

Open AI o3

Deepseek R1 0528 vs Open AI o3: Basic Introduction
| Criterion | Deepseek R1 0528 | Open AI 03 |
|---|---|---|
| Model Size | 685B | Not officially disclosed, but estimated to exceed 200 billion parameters. |
| Architecture | MoE | MoE |
| Language Support | Excels in English and Chinese | Strong multilingual capabilities |
| Multimodal Support | Text-only (no direct image/audio support) | Supports text, image, and audio inputs |
| Context Length | 64k | Supports up to 200,000 tokens of context window and up to 100,000 tokens of output. |
| Training Data | leveraging increased computational resources and introducing algorithmic optimization mechanisms during post-training. | Trained on more than 14 trillion tokens |
Deepseek R1 0528 focuses on efficient reasoning and bilingual strength with a lighter MoE design, while OpenAI o3 offers broader multimodal capabilities and extended context length with a more generalized, large-scale architecture.
Deepseek R1 0528 vs Open AI o3:Benchmark

DeepSeek-R1-0528 slightly outperforms OpenAI o3 across most reasoning and coding benchmarks, especially in high-difficulty tasks like AIME 2024 and GPQA Diamond, showing stronger consistency in logical accuracy.
Deepseek R1 0528 vs Open AI o3: Speed
OpenAI o3 is significantly faster and more responsive than DeepSeek-R1-0528, making it far better suited for commercial applications that demand low latency and high throughput.
DeepSeek R1 0528 vs Open AI o3: Price
DeepSeek-R1-0528: $0.7 / M input tokens, $2.5 / M output tokens on Novita AI

Deepseek R1 0528 vs Open AI o3: Application
| Scenario | Recommended Model | Reason |
|---|---|---|
| Real-time agent interaction | OpenAI o3 | Low latency, high context length, multimodal support |
| Reasoning or logic-intensive tasks | Deepseek R1 | Superior benchmark results in code and reasoning |
| Multilingual input/output | OpenAI o3 | Broader multilingual coverage |
| English-Chinese bilingual focus | Deepseek R1 | Specifically optimized for these two languages |
| Cost-sensitive inference | Deepseek R1 | Lower input and output token pricing on Novita AI |
| Commercial AI deployment | OpenAI o3 | Faster, more responsive; scales better in production |
How to Access DeepSeek R1 0528 on Novita AI
Getting started with DeepSeek R1 0528 is fast, simple, and risk-free on Novita AI. Thanks to the Referral Program, you’ll receive $10 in free credits—enough to fully explore DeepSeek R1 0528’s power, build prototypes, and even launch your first use case without any upfront cost.
1.Use the Playground (No Coding Required)
- Instant Access: Sign up, claim your free credits, and start experimenting with DeepSeek R1 0528 and other top models in seconds.
- Interactive UI: Test prompts, chain-of-thought reasoning, and visualize results in real time.
- Model Comparison: Effortlessly switch between Qwen 3, Llama 4, DeepSeek, and more to find the perfect fit for your needs.

2.Integrate via API (For Developers)
Seamlessly connect DeepSeek R1 0528 to your applications, workflows, or chatbots with Novita AI’s unified REST API—no need to manage model weights or infrastructure. Novita AI offers multi-language SDKs (Python, Node.js, cURL, and more) and advanced parameter controls for power users.
Option 1: Direct API Integration (Python Example)
To get started, simply use the code snippet below:
from openai import OpenAI
client = OpenAI(
base_url="https://api.novita.ai/v3/openai",
api_key="session_Ntg-O34ZOS-q5bNnkb3IcixmWnmxEQBxwKWMW3es3CD7KG4PEhFE1yRTRMGS3s8zZ52hrMdz14MmI4oalaDJTw==",
)
model = "deepseek/deepseek-r1-0528"
stream = True # or False
max_tokens = 2048
system_content = ""Be a helpful assistant""
temperature = 1
top_p = 1
min_p = 0
top_k = 50
presence_penalty = 0
frequency_penalty = 0
repetition_penalty = 1
response_format = { "type": "text" }
chat_completion_res = client.chat.completions.create(
model=model,
messages=[
{
"role": "system",
"content": system_content,
},
{
"role": "user",
"content": "Hi there!",
}
],
stream=stream,
max_tokens=max_tokens,
temperature=temperature,
top_p=top_p,
presence_penalty=presence_penalty,
frequency_penalty=frequency_penalty,
response_format=response_format,
extra_body={
"top_k": top_k,
"repetition_penalty": repetition_penalty,
"min_p": min_p
}
)
if stream:
for chunk in chat_completion_res:
print(chunk.choices[0].delta.content or "", end="")
else:
print(chat_completion_res.choices[0].message.content)
Key Features:
- Unified endpoint:
/v3/openaisupports OpenAI’s Chat Completions API format. - Flexible controls: Adjust temperature, top-p, penalties, and more for tailored results.
- Streaming & batching: Choose your preferred response mode.
Option 2: Multi-Agent Workflows with OpenAI Agents SDK
Build advanced multi-agent systems by integrating Novita AI with the OpenAI Agents SDK:
- Plug-and-play: Use Novita AI’s LLMs in any OpenAI Agents workflow.
- Supports handoffs, routing, and tool use: Design agents that can delegate, triage, or run functions, all powered by Novita AI’s models.
- Python integration: Simply point the SDK to Novita’s endpoint (
https://api.novita.ai/v3/openai) and use your API key.
3.Connect DeepSeek R1 0528 API on Third-Party Platforms
- Hugging Face: Use DeepSeek R1 0528 in Spaces, pipelines, or with the Transformers library via Novita AI endpoints.
- Agent & Orchestration Frameworks: Easily connect Novita AI with partner platforms like Continue, AnythingLLM, LangChain, Dify and Langflow through official connectors and step-by-step integration guides.
- OpenAI-Compatible API: Enjoy hassle-free migration and integration with tools such as Cline and Cursor, designed for the OpenAI API standard.
Deepseek R1 0528 offers superior reasoning and coding performance at a significantly lower cost, making it ideal for logic-intensive or budget-conscious applications.
OpenAI o3, on the other hand, stands out with its fast response time, broad language support, and multimodal capabilities, making it the better choice for real-time agents and enterprise deployment.
Frequently Asked Questions
Deepseek R1 0528 outperforms OpenAI o3 in benchmarks like AIME 2024 and GPQA Diamond.
Only OpenAI o3 supports multimodal inputs; Deepseek R1 0528 is text-only.
Deepseek R1 0528 is significantly cheaper on Novita AI, especially for large-scale usage.
Novita AI is an AI cloud platform that offers developers an easy way to deploy AI models using our simple API, while also providing the affordable and reliable GPU cloud for building and scaling.
Recommended Reading
- DeepSeek R1 vs QwQ-32B: RL-Powered Precision vs Efficiency
- QwQ 32B: A Compact AI Rival to DeepSeek R1
- Llama 3.2 3B vs DeepSeek V3: Comparing Efficiency and Performance.
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