Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 36.9% higher average benchmark score. Both models have similar pricing. DeepSeek-R1-0528 is available on 3 providers. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 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.
1 month newer
DeepSeek-R1-0528
DeepSeek
2025-05-28
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
DeepSeek-R1-0528
Kimi K2 Instruct
Context window and performance specifications
Average performance across 39 common benchmarks
DeepSeek-R1-0528
Kimi K2 Instruct
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Kimi K2 Instruct
DeepSeek-R1-0528
Kimi K2 Instruct
Kimi K2 Instruct
Novita