Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 57.4% higher average benchmark score. Kimi K2 Instruct offers 6.1K more tokens in context window than DeepSeek R1 Distill Qwen 32B. DeepSeek R1 Distill Qwen 32B is $2.57 cheaper per million tokens. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). 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 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.
5 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Kimi K2 Instruct
Context window and performance specifications
Average performance across 39 common benchmarks
DeepSeek R1 Distill Qwen 32B
Kimi K2 Instruct
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Kimi K2 Instruct
DeepSeek R1 Distill Qwen 32B
Kimi K2 Instruct
DeepSeek R1 Distill Qwen 32B
Kimi K2 Instruct
Novita