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

GPT-4.1 nano
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). 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.

Magistral Small 2506
Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

GPT-4.1 nano
OpenAI
2025-04-14

Magistral Small 2506
Mistral AI
2025-06-10
1 month newer
Performance Metrics
Context window and performance specifications

GPT-4.1 nano

Magistral Small 2506
Average performance across 2 common benchmarks

GPT-4.1 nano

Magistral Small 2506
Performance comparison across key benchmark categories

GPT-4.1 nano

Magistral Small 2506
GPT-4.1 nano
2024-05-31
Magistral Small 2506
2025-06-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Magistral Small 2506

GPT-4.1 nano

Magistral Small 2506