DeepSeek-R1 vs o3
Comparing DeepSeek-R1 and o3 across benchmarks, pricing, and capabilities.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-R1 and o3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-R1 is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o3 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-R1
- cost matters — it's about 3.6x cheaper per token
- you need open weights you can self-host or fine-tune
Choose o3
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Apr 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1 and o3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-R1 ($0.55/1M tokens) is 3.6x cheaper than o3 ($2.00/1M tokens).
For output processing, DeepSeek-R1 ($2.19/1M tokens) is 3.7x cheaper than o3 ($8.00/1M tokens).
In conclusion, o3 is more expensive than DeepSeek-R1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o3 accepts 200,000 input tokens compared to DeepSeek-R1's 131,072 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while o3 is limited to 100,000 tokens.
Input Capabilities
Supported data types and modalities
o3 supports multimodal inputs, whereas DeepSeek-R1 does not.
o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1
o3
License
Usage and distribution terms
DeepSeek-R1 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.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-R1 was released on 2025-01-20, while o3 was released on 2025-04-16.
o3 is 3 months newer than DeepSeek-R1.
Jan 20, 2025
1.6 years ago
Apr 16, 2025
1.4 years ago
2mo newerKnowledge Cutoff
When training data ends
o3 has a documented knowledge cutoff of 2024-05-31, while DeepSeek-R1'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's cutoff date.
—
May 2024
Provider Availability
DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. o3 is available from OpenAI.
DeepSeek-R1
o3
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-R1 and o3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1 vs o3.