Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 38.5% higher average benchmark score. Kimi K2 Instruct offers 32.8K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $2.19 cheaper per million tokens. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek'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.
2 months newer
Kimi K2 Instruct
Moonshot AI
2025-07-11
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Kimi K2 Instruct
Context window and performance specifications
Average performance across 39 common benchmarks
DeepSeek-V3.2-Exp
Kimi K2 Instruct
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Kimi K2 Instruct
DeepSeek-V3.2-Exp
Kimi K2 Instruct
DeepSeek-V3.2-Exp
Kimi K2 Instruct
Novita