Model Comparison

GPT-4o vs QwQ-32B-Preview

Both models are evenly matched across the benchmarks. QwQ-32B-Preview is 26.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4o outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 1 benchmark (AIME 2024).

Both models are evenly matched across the benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, GPT-4o ($2.50/1M tokens) is 16.7x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 50.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, GPT-4o is more expensive than QwQ-32B-Preview.*

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

Lowest available price from all providers

Sun May 10 2026 • llm-stats.com

GPT-4o

Input tokens$2.50

Output tokens$10.00

Best providerAzure

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

GPT-4o accepts 128,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. QwQ-32B-Preview can generate longer responses up to 32,768 tokens, while GPT-4o is limited to 16,384 tokens.

GPT-4o

Input128,000 tokens

Output16,384 tokens

QwQ-32B-Preview

Input32,768 tokens

Output32,768 tokens

Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas QwQ-32B-Preview does not.

GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o

Text

Images

Audio

Video

QwQ-32B-Preview

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4o 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.

GPT-4o

Proprietary

Closed source

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while QwQ-32B-Preview was released on 2024-11-28.

QwQ-32B-Preview is 4 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.8 years ago

QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

3mo newer

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while GPT-4o's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4o

—

QwQ-32B-Preview

Nov 2024

Provider Availability

GPT-4o is available from Azure, OpenAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

GPT-4o

Azure

Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

OpenAI

Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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

GPT-4o

View details

OpenAI

Larger context window (128,000 tokens)

Supports multimodal inputs

Higher GPQA score (70.1% vs 65.2%)

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher AIME 2024 score (50.0% vs 13.1%)

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4o	QwQ-32B-Preview

FAQ

Common questions about GPT-4o vs QwQ-32B-Preview.

Which is better, GPT-4o or QwQ-32B-Preview?

Both models are evenly matched across the benchmarks. GPT-4o 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 GPT-4o compare to QwQ-32B-Preview in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

Is GPT-4o cheaper than QwQ-32B-Preview?

QwQ-32B-Preview is 16.7x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.

What are the context window sizes for GPT-4o and QwQ-32B-Preview?

GPT-4o supports 128K 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 GPT-4o and QwQ-32B-Preview?

Key differences include context window (128K vs 33K), input pricing ($2.50 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 GPT-4o and QwQ-32B-Preview?

GPT-4o is developed by OpenAI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.