Model Comparison
DeepSeek R1 Distill Qwen 32B vs o3-proWhich is better in 2026?
Comparing DeepSeek R1 Distill Qwen 32B and o3-pro across benchmarks, pricing, and capabilities.
Verdict: DeepSeek R1 Distill Qwen 32B vs o3-pro — which is better?
DeepSeek R1 Distill Qwen 32B (by DeepSeek) and o3-pro (by OpenAI) 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.
On price, DeepSeek R1 Distill Qwen 32B is roughly 259.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o3-pro also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek R1 Distill Qwen 32B if…
- cost matters — it's about 259.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose o3-pro if…
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Jun 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B and o3-pro don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 166.7x cheaper than o3-pro ($20.00/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 444.4x cheaper than o3-pro ($80.00/1M tokens).
In conclusion, o3-pro is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o3-pro accepts 200,000 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while o3-pro is limited to 100,000 tokens.
Input Capabilities
Supported data types and modalities
o3-pro supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.
o3-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 32B
o3-pro
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while o3-pro 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 Distill Qwen 32B was released on 2025-01-20, while o3-pro was released on 2025-06-10.
o3-pro is 5 months newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.4 years ago
Jun 10, 2025
12 months ago
4mo newerKnowledge Cutoff
When training data ends
o3-pro has a documented knowledge cutoff of 2024-05-31, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.
We can confirm o3-pro's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.
—
May 2024
Provider Availability
DeepSeek R1 Distill Qwen 32B is available from DeepInfra. o3-pro is available from OpenAI.
DeepSeek R1 Distill Qwen 32B
o3-pro
Outputs Comparison
Key Takeaways
o3-pro
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs o3-pro.