Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 29.2% higher average benchmark score. GPT-4.1 mini offers 556.1K more tokens in context window than Kimi K2 0905. GPT-4.1 mini is $1.10 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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.
Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
4 months newer
GPT-4.1 mini
OpenAI
2025-04-14
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
GPT-4.1 mini
Kimi K2 0905
Context window and performance specifications
Average performance across 32 common benchmarks
GPT-4.1 mini
Kimi K2 0905
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
ZeroEval
GPT-4.1 mini
Kimi K2 0905
GPT-4.1 mini
Kimi K2 0905
Kimi K2 0905
Novita
ZeroEval