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.

Kimi K2-Instruct-0905
Moonshot AI
Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

GPT-4.1 nano
OpenAI
2025-04-14

Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
4 months newer
Performance Metrics
Context window and performance specifications

GPT-4.1 nano

Kimi K2-Instruct-0905
Average performance across 6 common benchmarks

GPT-4.1 nano

Kimi K2-Instruct-0905
Performance comparison across key benchmark categories

GPT-4.1 nano

Kimi K2-Instruct-0905
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Kimi K2-Instruct-0905

GPT-4.1 nano

Kimi K2-Instruct-0905