Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 45.0% higher average benchmark score. Kimi K2 Instruct offers 117.8K more tokens in context window than GPT-4o mini. GPT-4o mini is $2.12 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. 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 2024, it represents OpenAI's latest advancement in AI technology.
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 262K token context window for handling large documents. The model is available through 1 API provider. 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.
11 months newer
GPT-4o mini
OpenAI
2024-07-18
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
GPT-4o mini
Kimi K2 Instruct
Context window and performance specifications
Average performance across 40 common benchmarks
GPT-4o mini
Kimi K2 Instruct
GPT-4o mini
2023-10-01
Available providers and their performance metrics
GPT-4o mini
Azure
Kimi K2 Instruct
GPT-4o mini
Kimi K2 Instruct
GPT-4o mini
Kimi K2 Instruct
Novita