Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

GPT-4.1 mini
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Qwen2.5 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 7B Instruct
Alibaba
2024-09-19

GPT-4.1 mini
OpenAI
2025-04-14
6 months newer
Pricing Comparison
Cost per million tokens (USD)

GPT-4.1 mini

Qwen2.5 7B Instruct
Performance Metrics
Context window and performance specifications

GPT-4.1 mini

Qwen2.5 7B Instruct
Average performance across 2 common benchmarks

GPT-4.1 mini

Qwen2.5 7B Instruct
Performance comparison across key benchmark categories

GPT-4.1 mini

Qwen2.5 7B Instruct
GPT-4.1 mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 mini
ZeroEval
OpenAI

Qwen2.5 7B Instruct
Together

GPT-4.1 mini

Qwen2.5 7B Instruct