Model Comparison

o3-pro vs Qwen3 32B

Comparing o3-pro and Qwen3 32B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

o3-pro and Qwen3 32B 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

Qwen3 32B costs less

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
o3-pro
Input tokens$20.00
Output tokens$80.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

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.

OpenAI
o3-pro
Input200,000 tokens
Output100,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Qwen3 32B

Text
Images
Audio
Video

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.

o3-pro

Proprietary

Closed source

Qwen3 32B

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.

o3-pro

Jun 10, 2025

10 months ago

1mo newer
Qwen3 32B

Apr 29, 2025

11 months 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.

o3-pro

May 2024

Qwen3 32B

—

Provider Availability

o3-pro is available from OpenAI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

o3-pro

openai logo
OpenAI
Input Price:Input: $20.00/1MOutput Price:Output: $80.00/1M

Qwen3 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
sambanova logo
Sambanova
Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o3-pro
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about o3-pro vs Qwen3 32B

o3-pro (OpenAI) and Qwen3 32B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.
Qwen3 32B is 200.0x cheaper for input tokens. o3-pro costs $20.00/M input and $80.00/M output via openai. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.
o3-pro supports 200K tokens and Qwen3 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 128K), input pricing ($20.00 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
o3-pro is developed by OpenAI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.