+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 Tiny vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 22.7% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, Kimi K2-Instruct-0905 is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). 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.
8 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
Average performance across 43 common benchmarks
+
+
+
+
DeepSeek VL2 Tiny
Average Score:20.5%
+
+
+
+
Kimi K2-Instruct-0905
Average Score:43.2%(+22.7%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek VL2 Tiny
0 providers
+
+
+
+
Kimi K2-Instruct-0905
0 providers
+
+
+
+
DeepSeek VL2 Tiny
Avg Score:20.5%
Providers:0
+
+
+
+
Kimi K2-Instruct-0905
Avg Score:43.2%(+22.7%)
Providers:0