Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 24.4% higher average benchmark score. Kimi K2 0905 offers 265.7K more tokens in context window than DeepSeek VL2. Kimi K2 0905 is $4806.40 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, DeepSeek VL2 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 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.
8 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
DeepSeek VL2
Kimi K2 0905
Context window and performance specifications
Average performance across 20 common benchmarks
DeepSeek VL2
Kimi K2 0905
Available providers and their performance metrics
DeepSeek VL2
Replicate
Kimi K2 0905
DeepSeek VL2
Kimi K2 0905
DeepSeek VL2
Kimi K2 0905
Novita
ZeroEval