Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 19.0% higher average benchmark score. Kimi K2 0905 offers 196.6K more tokens in context window than DeepSeek-V3 0324. DeepSeek-V3 0324 is $1.68 cheaper per million tokens. Overall, Kimi K2 0905 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 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
5 months newer
DeepSeek-V3 0324
DeepSeek
2025-03-25
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
DeepSeek-V3 0324
Kimi K2 0905
Context window and performance specifications
Average performance across 8 common benchmarks
DeepSeek-V3 0324
Kimi K2 0905
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
Kimi K2 0905
DeepSeek-V3 0324
Kimi K2 0905
DeepSeek-V3 0324
Kimi K2 0905
Novita
ZeroEval