+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 Tiny vs Gemini 1.5 Pro
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 22.4% higher average benchmark score. Overall, Gemini 1.5 Pro 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.
+
+
+
+
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 Google's latest advancement in AI technology.
7 months newer
Gemini 1.5 Pro
2024-05-01
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
+
+
+
+
DeepSeek VL2 Tiny
Average Score:25.2%
+
+
+
+
Gemini 1.5 Pro
Average Score:47.7%(+22.4%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek VL2 Tiny
0 providers
+
+
+
+
Gemini 1.5 Pro
1 providers
+
+
+
+
DeepSeek VL2 Tiny
Avg Score:25.2%
Providers:0
+
+
+
+
Gemini 1.5 Pro
Avg Score:47.7%(+22.4%)
Providers:1