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.

Kimi K2 Instruct
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Kimi K2 Instruct
Moonshot AI
2025-01-01

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

GPT-4.1 mini

Kimi K2 Instruct
Performance Metrics
Context window and performance specifications

GPT-4.1 mini

Kimi K2 Instruct
Average performance across 9 common benchmarks

GPT-4.1 mini

Kimi K2 Instruct
Performance comparison across key benchmark categories

GPT-4.1 mini

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

GPT-4.1 mini
ZeroEval
OpenAI

Kimi K2 Instruct
Novita

GPT-4.1 mini

Kimi K2 Instruct