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

GPT-4.1
OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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 72B Instruct
Alibaba
Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K token context window for handling large documents. The model is available through 4 API providers. 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 72B Instruct
Alibaba
2024-09-19

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

GPT-4.1

Qwen2.5 72B Instruct
Performance Metrics
Context window and performance specifications

GPT-4.1

Qwen2.5 72B Instruct
Average performance across 2 common benchmarks

GPT-4.1

Qwen2.5 72B Instruct
Performance comparison across key benchmark categories

GPT-4.1

Qwen2.5 72B Instruct
GPT-4.1
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1
OpenAI

Qwen2.5 72B Instruct
Together
Hyperbolic
DeepInfra
Fireworks

GPT-4.1

Qwen2.5 72B Instruct