Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 56.0% higher average benchmark score. DeepSeek-V3 0324 offers 65.5K more tokens in context window than Kimi K2 Instruct. DeepSeek-V3 0324 is $1.45 cheaper per million tokens. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. 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.
3 months newer
DeepSeek-V3 0324
DeepSeek
2025-03-25
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
DeepSeek-V3 0324
Kimi K2 Instruct
Context window and performance specifications
Average performance across 39 common benchmarks
DeepSeek-V3 0324
Kimi K2 Instruct
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
Kimi K2 Instruct
DeepSeek-V3 0324
Kimi K2 Instruct
DeepSeek-V3 0324
Kimi K2 Instruct
Novita