Model Comparison

o4-mini vs QwQ-32B-Preview

o4-mini significantly outperforms across most benchmarks. QwQ-32B-Preview is 11.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

o4-mini significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, o4-mini ($1.10/1M tokens) is 7.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, o4-mini ($4.40/1M tokens) is 22.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

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

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

Lowest available price from all providers

Sat May 30 2026 • llm-stats.com

o4-mini

Input tokens$1.10

Output tokens$4.40

Best providerOpenAI

QwQ-32B-Preview

Input tokens$0.15

Output tokens$0.20

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 QwQ-32B-Preview's 32,768 tokens. o4-mini can generate longer responses up to 100,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

o4-mini

Input200,000 tokens

Output100,000 tokens

QwQ-32B-Preview

Input32,768 tokens

Output32,768 tokens

Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o4-mini supports multimodal inputs, whereas QwQ-32B-Preview 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

QwQ-32B-Preview

Text

Images

Audio

Video

License

Usage and distribution terms

o4-mini is licensed under a proprietary license, while QwQ-32B-Preview 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

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

o4-mini was released on 2025-04-16, while QwQ-32B-Preview was released on 2024-11-28.

o4-mini is 5 months newer than QwQ-32B-Preview.

o4-mini

Apr 16, 2025

1.1 years ago

4mo newer

QwQ-32B-Preview

Nov 28, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

o4-mini has a knowledge cutoff of 2024-05-31, while QwQ-32B-Preview has a cutoff of 2024-11-28.

QwQ-32B-Preview has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to o4-mini (2024-05-31).

o4-mini

May 2024

QwQ-32B-Preview

Nov 2024

6 mo newer

Provider Availability

o4-mini is available from OpenAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

o4-mini

OpenAI

Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M

QwQ-32B-Preview

Deepinfra

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Hyperbolic

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Together

Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

o4-mini

View details

OpenAI

Larger context window (200,000 tokens)

Supports multimodal inputs

Higher AIME 2024 score (93.4% vs 50.0%)

Higher GPQA score (81.4% vs 65.2%)

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

o4-mini

QwQ-32B-Preview

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	o4-mini	QwQ-32B-Preview

FAQ

Common questions about o4-mini vs QwQ-32B-Preview.

Which is better, o4-mini or QwQ-32B-Preview?

o4-mini significantly outperforms across most benchmarks. o4-mini is made by OpenAI and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does o4-mini compare to QwQ-32B-Preview in benchmarks?

o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

Is o4-mini cheaper than QwQ-32B-Preview?

QwQ-32B-Preview is 7.3x cheaper for input tokens. o4-mini costs $1.10/M input and $4.40/M output via openai. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.

What are the context window sizes for o4-mini and QwQ-32B-Preview?

o4-mini supports 200K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between o4-mini and QwQ-32B-Preview?

Key differences include context window (200K vs 33K), input pricing ($1.10 vs $0.15/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes o4-mini and QwQ-32B-Preview?

o4-mini is developed by OpenAI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.