Model Comparison

o4-mini vs Qwen3 32B

o4-mini significantly outperforms across most benchmarks. Qwen3 32B is 12.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

o4-mini outperforms in 2 benchmarks (AIME 2024, AIME 2025), while Qwen3 32B is better at 0 benchmarks.

o4-mini significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, o4-mini ($1.10/1M tokens) is 11.0x more expensive than Qwen3 32B ($0.10/1M tokens).

For output processing, o4-mini ($4.40/1M tokens) is 14.7x more expensive than Qwen3 32B ($0.30/1M tokens).

In conclusion, o4-mini is more expensive than Qwen3 32B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
OpenAI
o4-mini
Input tokens$1.10
Output tokens$4.40
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

o4-mini 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 o4-mini is limited to 100,000 tokens.

OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o4-mini supports multimodal inputs, whereas Qwen3 32B does not.

o4-mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

o4-mini

Text
Images
Audio
Video

Qwen3 32B

Text
Images
Audio
Video

License

Usage and distribution terms

o4-mini 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.

o4-mini

Proprietary

Closed source

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

o4-mini was released on 2025-04-16, while Qwen3 32B was released on 2025-04-29.

Qwen3 32B is 0 month newer than o4-mini.

o4-mini

Apr 16, 2025

1.0 years ago

Qwen3 32B

Apr 29, 2025

11 months ago

1w newer

Knowledge Cutoff

When training data ends

o4-mini has a documented knowledge cutoff of 2024-05-31, while Qwen3 32B's cutoff date is not specified.

We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without Qwen3 32B's cutoff date.

o4-mini

May 2024

Qwen3 32B

—

Provider Availability

o4-mini is available from OpenAI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

o4-mini

openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M

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

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Key Takeaways

OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher AIME 2024 score (93.4% vs 81.4%)
Higher AIME 2025 score (92.7% vs 72.9%)
Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAIo4-mini
Alibaba Cloud / Qwen TeamQwen3 32B
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Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o4-mini
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about o4-mini vs Qwen3 32B

o4-mini significantly outperforms across most benchmarks. o4-mini is made by OpenAI and Qwen3 32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.
Qwen3 32B is 11.0x cheaper for input tokens. o4-mini costs $1.10/M input and $4.40/M output via openai. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.
o4-mini 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 ($1.10 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.
o4-mini is developed by OpenAI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.