Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 25.0% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than DeepSeek R1 Distill Llama 70B. DeepSeek R1 Distill Llama 70B is $2.60 cheaper per million tokens. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K 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 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.
7 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
DeepSeek R1 Distill Llama 70B
Kimi K2 0905
Context window and performance specifications
Average performance across 8 common benchmarks
DeepSeek R1 Distill Llama 70B
Kimi K2 0905
Available providers and their performance metrics
DeepSeek R1 Distill Llama 70B
DeepInfra
Kimi K2 0905
DeepSeek R1 Distill Llama 70B
Kimi K2 0905
DeepSeek R1 Distill Llama 70B
Kimi K2 0905
Novita
ZeroEval