Model Comparison

DeepSeek-R1-0528 vs o3

o3 shows notably better performance in the majority of benchmarks. DeepSeek-R1-0528 is 3.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-R1-0528 outperforms in 2 benchmarks (AIME 2025, Humanity's Last Exam), while o3 is better at 5 benchmarks (Aider-Polyglot, AIME 2024, BrowseComp, GPQA, SWE-Bench Verified).

o3 shows notably better performance in the majority of benchmarks.

Sat Apr 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-R1-0528 costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 4.0x cheaper than o3 ($2.00/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 3.7x cheaper than o3 ($8.00/1M tokens).

In conclusion, o3 is more expensive than DeepSeek-R1-0528.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Apr 11 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
OpenAI
o3
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3 accepts 200,000 input tokens compared to DeepSeek-R1-0528's 131,072 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while o3 is limited to 100,000 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Sat Apr 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o3 supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1-0528

Text
Images
Audio
Video

o3

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while o3 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-R1-0528

MIT

Open weights

o3

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while o3 was released on 2025-04-16.

DeepSeek-R1-0528 is 1 month newer than o3.

DeepSeek-R1-0528

May 28, 2025

10 months ago

1mo newer
o3

Apr 16, 2025

12 months ago

Knowledge Cutoff

When training data ends

o3 has a documented knowledge cutoff of 2024-05-31, while DeepSeek-R1-0528's cutoff date is not specified.

We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.

DeepSeek-R1-0528

—

o3

May 2024

Provider Availability

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. o3 is available from OpenAI.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

o3

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2025 score (87.5% vs 86.4%)
Higher Humanity's Last Exam score (17.7% vs 14.7%)
OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher Aider-Polyglot score (81.3% vs 71.6%)
Higher AIME 2024 score (91.6% vs 91.4%)
Higher BrowseComp score (49.7% vs 8.9%)
Higher GPQA score (83.3% vs 81.0%)
Higher SWE-Bench Verified score (69.1% vs 44.6%)
DeepSeekDeepSeek-R1-0528
OpenAIo3
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
OpenAI
o3

FAQ

Common questions about DeepSeek-R1-0528 vs o3

o3 shows notably better performance in the majority of benchmarks. DeepSeek-R1-0528 is made by DeepSeek and o3 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.
DeepSeek-R1-0528 is 4.0x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. o3 costs $2.00/M input and $8.00/M output via openai.
DeepSeek-R1-0528 supports 131K tokens and o3 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 200K), input pricing ($0.50 vs $2.00/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1-0528 is developed by DeepSeek and o3 is developed by OpenAI.