Comprehensive side-by-side LLM comparison
GPT-5 leads with 1.4% higher average benchmark score. GPT-5 offers 265.9K more tokens in context window than Kimi K2 Instruct. Kimi K2 Instruct is $8.38 cheaper per million tokens. GPT-5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 Telecom (96.7%). 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
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5
Kimi K2 Instruct
Context window and performance specifications
Average performance across 59 common benchmarks
GPT-5
Kimi K2 Instruct
GPT-5
2024-09-30
Available providers and their performance metrics
GPT-5
OpenAI
ZeroEval
GPT-5
Kimi K2 Instruct
GPT-5
Kimi K2 Instruct
Kimi K2 Instruct
Novita