o3-pro vs Qwen3 32B
Comparing o3-pro and Qwen3 32B across benchmarks, pricing, and capabilities.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
o3-pro and Qwen3 32B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Qwen3 32B is roughly 233.3x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose o3-pro
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Jun 2025
Choose Qwen3 32B
- cost matters — it's about 233.3x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
0 reported for o3-pro · 9 for Qwen3 32B
o3-pro and Qwen3 32Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, o3-pro ($20.00/1M tokens) is 200.0x more expensive than Qwen3 32B ($0.10/1M tokens).
For output processing, o3-pro ($80.00/1M tokens) is 266.7x more expensive than Qwen3 32B ($0.30/1M tokens).
In conclusion, o3-pro is more expensive than Qwen3 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 Qwen3 32B's 128,000 tokens. Qwen3 32B can generate longer responses up to 128,000 tokens, while o3-pro is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
o3-pro supports multimodal inputs, whereas Qwen3 32B does not.
o3-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
o3-pro
Qwen3 32B
License
Usage and distribution terms
o3-pro is licensed under a proprietary license, while Qwen3 32B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
o3-pro was released on 2025-06-10, while Qwen3 32B was released on 2025-04-29.
o3-pro is 1 month newer than Qwen3 32B.
Jun 10, 2025
1.2 years ago
1mo newerApr 29, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
o3-pro has a documented knowledge cutoff of 2024-05-31, while Qwen3 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 Qwen3 32B's cutoff date.
May 2024
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Provider Availability
o3-pro is available from OpenAI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.
o3-pro
Qwen3 32B
Outputs Comparison
Judge for yourself.
Run your own prompts against o3-pro and Qwen3 32B side-by-side, then vote on the output you prefer.
FAQ
Common questions about o3-pro vs Qwen3 32B.