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.

Qwen3-235B-A22B-Instruct-2507
Alibaba
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

GPT-4.1
OpenAI
2025-04-14

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
3 months newer
Performance Metrics
Context window and performance specifications

GPT-4.1

Qwen3-235B-A22B-Instruct-2507
Average performance across 4 common benchmarks

GPT-4.1

Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories

GPT-4.1

Qwen3-235B-A22B-Instruct-2507
GPT-4.1
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1
OpenAI

Qwen3-235B-A22B-Instruct-2507

GPT-4.1

Qwen3-235B-A22B-Instruct-2507