Model Comparison
o3-mini vs DeepSeek-R1-0528Which is better in 2026?
DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is 2.1x cheaper per token.
Verdict: o3-mini vs DeepSeek-R1-0528 — which is better?
o3-mini (by OpenAI) and DeepSeek-R1-0528 (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
o3-mini outperforms in 1 benchmarks (SWE-Bench Verified), while DeepSeek-R1-0528 is better at 4 benchmarks (Aider-Polyglot, AIME 2024, GPQA, SimpleQA). DeepSeek-R1-0528 significantly outperforms across most benchmarks.
On price, DeepSeek-R1-0528 is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o3-mini also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose o3-mini if…
- you process long inputs — it offers a 200,000 token context window
Choose DeepSeek-R1-0528 if…
- you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
- cost matters — it's about 2.1x cheaper per token
- you want the most recent training data — it shipped May 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
o3-mini outperforms in 1 benchmarks (SWE-Bench Verified), while DeepSeek-R1-0528 is better at 4 benchmarks (Aider-Polyglot, AIME 2024, GPQA, SimpleQA).
DeepSeek-R1-0528 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, o3-mini ($1.10/1M tokens) is 2.2x more expensive than DeepSeek-R1-0528 ($0.50/1M tokens).
For output processing, o3-mini ($4.40/1M tokens) is 2.0x more expensive than DeepSeek-R1-0528 ($2.15/1M tokens).
In conclusion, o3-mini is more expensive than DeepSeek-R1-0528.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o3-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 o3-mini is limited to 100,000 tokens.
License
Usage and distribution terms
o3-mini is licensed under a proprietary license, while DeepSeek-R1-0528 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
o3-mini was released on 2025-01-30, while DeepSeek-R1-0528 was released on 2025-05-28.
DeepSeek-R1-0528 is 4 months newer than o3-mini.
Jan 30, 2025
1.4 years ago
May 28, 2025
1.0 years ago
3mo newerKnowledge Cutoff
When training data ends
o3-mini has a documented knowledge cutoff of 2023-09-30, while DeepSeek-R1-0528's cutoff date is not specified.
We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.
Sep 2023
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Provider Availability
o3-mini is available from Azure, OpenAI. DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita.
o3-mini
DeepSeek-R1-0528
Outputs Comparison
Key Takeaways
o3-mini
View detailsOpenAI
DeepSeek-R1-0528
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about o3-mini vs DeepSeek-R1-0528.