Model Comparison

DeepSeek-R1-0528 vs o4-mini

o4-mini shows notably better performance in the majority of benchmarks. DeepSeek-R1-0528 is 2.1x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-R1-0528 outperforms in 2 benchmarks (Aider-Polyglot, Humanity's Last Exam), while o4-mini is better at 5 benchmarks (AIME 2024, AIME 2025, BrowseComp, GPQA, SWE-Bench Verified).

o4-mini shows notably better performance in the majority of benchmarks.

Mon Jun 01 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 2.2x cheaper than o4-mini ($1.10/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 2.0x cheaper than o4-mini ($4.40/1M tokens).

In conclusion, o4-mini is more expensive than DeepSeek-R1-0528.*

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

Lowest available price from all providers
Mon Jun 01 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
OpenAI
o4-mini
Input tokens$1.10
Output tokens$4.40
Best providerOpenAI
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Context Window

Maximum input and output token capacity

o4-mini 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 o4-mini is limited to 100,000 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Mon Jun 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o4-mini supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

o4-mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1-0528

Text
Images
Audio
Video

o4-mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while o4-mini 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

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while o4-mini was released on 2025-04-16.

DeepSeek-R1-0528 is 1 month newer than o4-mini.

DeepSeek-R1-0528

May 28, 2025

1.0 years ago

1mo newer
o4-mini

Apr 16, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

o4-mini has a documented knowledge cutoff of 2024-05-31, while DeepSeek-R1-0528's cutoff date is not specified.

We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.

DeepSeek-R1-0528

o4-mini

May 2024

Provider Availability

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. o4-mini 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

o4-mini

openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Aider-Polyglot score (71.6% vs 68.9%)
Higher Humanity's Last Exam score (17.7% vs 14.7%)
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher AIME 2024 score (93.4% vs 91.4%)
Higher AIME 2025 score (92.7% vs 87.5%)
Higher BrowseComp score (51.5% vs 8.9%)
Higher GPQA score (81.4% vs 81.0%)
Higher SWE-Bench Verified score (68.1% vs 44.6%)
DeepSeekDeepSeek-R1-0528
OpenAIo4-mini

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
OpenAI
o4-mini

FAQ

Common questions about DeepSeek-R1-0528 vs o4-mini.

Which is better, DeepSeek-R1-0528 or o4-mini?

o4-mini shows notably better performance in the majority of benchmarks. DeepSeek-R1-0528 is made by DeepSeek and o4-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-R1-0528 compare to o4-mini in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.

Is DeepSeek-R1-0528 cheaper than o4-mini?

DeepSeek-R1-0528 is 2.2x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. o4-mini costs $1.10/M input and $4.40/M output via openai.

What are the context window sizes for DeepSeek-R1-0528 and o4-mini?

DeepSeek-R1-0528 supports 131K tokens and o4-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-R1-0528 and o4-mini?

Key differences include context window (131K vs 200K), input pricing ($0.50 vs $1.10/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and o4-mini?

DeepSeek-R1-0528 is developed by DeepSeek and o4-mini is developed by OpenAI.