Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 58.6% higher average benchmark score. GPT-5 nano offers 265.9K more tokens in context window than Kimi K2 Instruct. GPT-5 nano is $2.42 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. 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 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.
27 days newer
Kimi K2 Instruct
Moonshot AI
2025-07-11
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
Kimi K2 Instruct
Context window and performance specifications
Average performance across 39 common benchmarks
GPT-5 nano
Kimi K2 Instruct
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
Kimi K2 Instruct
GPT-5 nano
Kimi K2 Instruct
Kimi K2 Instruct
Novita