Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 29.6% higher average benchmark score. Kimi K2 Instruct offers 3.6K more tokens in context window than DeepSeek VL2. Kimi K2 Instruct is $4806.63 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
7 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
DeepSeek VL2
Kimi K2 Instruct
Context window and performance specifications
Average performance across 52 common benchmarks
DeepSeek VL2
Kimi K2 Instruct
Available providers and their performance metrics
DeepSeek VL2
Replicate
Kimi K2 Instruct
DeepSeek VL2
Kimi K2 Instruct
DeepSeek VL2
Kimi K2 Instruct
Novita