Model Comparison

GPT-4.1 vs QwQ-32B-Preview

Both models are evenly matched across the benchmarks. QwQ-32B-Preview is 21.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4.1 outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 1 benchmark (AIME 2024).

Both models are evenly matched across the benchmarks.

Mon Apr 13 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-4.1 ($2.00/1M tokens) is 13.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, GPT-4.1 ($8.00/1M tokens) is 40.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, GPT-4.1 is more expensive than QwQ-32B-Preview.*

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

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
OpenAI
GPT-4.1
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
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-4.1 accepts 1,047,576 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Both models can generate responses up to 32,768 tokens.

OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 supports multimodal inputs, whereas QwQ-32B-Preview does not.

GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 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-4.1

Proprietary

Closed source

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 was released on 2025-04-14, while QwQ-32B-Preview was released on 2024-11-28.

GPT-4.1 is 5 months newer than QwQ-32B-Preview.

GPT-4.1

Apr 14, 2025

12 months ago

4mo newer
QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 has a knowledge cutoff of 2024-06-01, 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 GPT-4.1 (2024-06-01).

GPT-4.1

Jun 2024

QwQ-32B-Preview

Nov 2024

5 mo newer

Provider Availability

GPT-4.1 is available from OpenAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

GPT-4.1

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
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

OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
Higher GPQA score (66.3% vs 65.2%)
Alibaba Cloud / Qwen Team

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 48.1%)
OpenAIGPT-4.1
Alibaba Cloud / Qwen TeamQwQ-32B-Preview
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Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4.1
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about GPT-4.1 vs QwQ-32B-Preview

Both models are evenly matched across the benchmarks. GPT-4.1 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.
GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
QwQ-32B-Preview is 13.3x cheaper for input tokens. GPT-4.1 costs $2.00/M input and $8.00/M output via openai. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
GPT-4.1 supports 1.0M tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 33K), input pricing ($2.00 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.
GPT-4.1 is developed by OpenAI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.