Model Comparison

GPT-4.1 mini vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks. Qwen3 32B is 4.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4.1 mini outperforms in 0 benchmarks, while Qwen3 32B is better at 2 benchmarks (AIME 2024, AIME 2025).

Qwen3 32B significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, GPT-4.1 mini ($0.40/1M tokens) is 4.0x more expensive than Qwen3 32B ($0.10/1M tokens).

For output processing, GPT-4.1 mini ($1.60/1M tokens) is 5.3x more expensive than Qwen3 32B ($0.30/1M tokens).

In conclusion, GPT-4.1 mini is more expensive than Qwen3 32B.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
OpenAI
GPT-4.1 mini
Input tokens$0.40
Output tokens$1.60
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

GPT-4.1 mini accepts 1,047,576 input tokens compared to Qwen3 32B's 128,000 tokens. Qwen3 32B can generate longer responses up to 128,000 tokens, while GPT-4.1 mini is limited to 32,768 tokens.

OpenAI
GPT-4.1 mini
Input1,047,576 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 mini supports multimodal inputs, whereas Qwen3 32B does not.

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

GPT-4.1 mini

Text
Images
Audio
Video

Qwen3 32B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 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.

GPT-4.1 mini

Proprietary

Closed source

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 mini was released on 2025-04-14, while Qwen3 32B was released on 2025-04-29.

Qwen3 32B is 1 month newer than GPT-4.1 mini.

GPT-4.1 mini

Apr 14, 2025

1.0 years ago

Qwen3 32B

Apr 29, 2025

11 months ago

2w newer

Knowledge Cutoff

When training data ends

GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Qwen3 32B's cutoff date is not specified.

We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without Qwen3 32B's cutoff date.

GPT-4.1 mini

May 2024

Qwen3 32B

—

Provider Availability

GPT-4.1 mini is available from OpenAI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

GPT-4.1 mini

openai logo
OpenAI
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M

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 (1,047,576 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
Higher AIME 2024 score (81.4% vs 49.6%)
Higher AIME 2025 score (72.9% vs 40.2%)
OpenAIGPT-4.1 mini
Alibaba Cloud / Qwen TeamQwen3 32B
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Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4.1 mini
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about GPT-4.1 mini vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks. GPT-4.1 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.
GPT-4.1 mini scores CharXiv-D: 88.4%, MMLU: 87.5%, IFEval: 84.1%, MMMLU: 78.5%, MathVista: 73.1%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.
Qwen3 32B is 4.0x cheaper for input tokens. GPT-4.1 mini costs $0.40/M input and $1.60/M output via openai. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.
GPT-4.1 mini supports 1.0M 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 (1.0M vs 128K), input pricing ($0.40 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.
GPT-4.1 mini is developed by OpenAI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.