Model Comparison

GPT-4.1 mini vs Qwen2.5 VL 7B Instruct

GPT-4.1 mini significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-4.1 mini outperforms in 1 benchmarks (MMMU), while Qwen2.5 VL 7B Instruct is better at 0 benchmarks.

GPT-4.1 mini significantly outperforms across most benchmarks.

Mon Apr 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
OpenAI
GPT-4.1 mini
Input tokens$0.40
Output tokens$1.60
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only GPT-4.1 mini specifies input context (1,047,576 tokens). Only GPT-4.1 mini specifies output context (32,768 tokens).

OpenAI
GPT-4.1 mini
Input1,047,576 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4.1 mini and Qwen2.5 VL 7B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4.1 mini

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 mini is licensed under a proprietary license, while Qwen2.5 VL 7B Instruct 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

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 mini was released on 2025-04-14, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

GPT-4.1 mini is 3 months newer than Qwen2.5 VL 7B Instruct.

GPT-4.1 mini

Apr 14, 2025

1.0 years ago

2mo newer
Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Qwen2.5 VL 7B Instruct'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 Qwen2.5 VL 7B Instruct's cutoff date.

GPT-4.1 mini

May 2024

Qwen2.5 VL 7B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,047,576 tokens)
Higher MMMU score (72.7% vs 58.6%)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
OpenAIGPT-4.1 mini
Alibaba Cloud / Qwen TeamQwen2.5 VL 7B Instruct
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4.1 mini
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct

FAQ

Common questions about GPT-4.1 mini vs Qwen2.5 VL 7B Instruct

GPT-4.1 mini significantly outperforms across most benchmarks. GPT-4.1 mini is made by OpenAI and Qwen2.5 VL 7B Instruct 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%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.
GPT-4.1 mini supports 1.0M tokens and Qwen2.5 VL 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include 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 Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.