+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 Tiny vs DeepSeek-V3
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 13.5% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, DeepSeek-V3 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.
+
+
+
+
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
12 days newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
DeepSeek-V3
DeepSeek
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
+
+
+
+
DeepSeek VL2 Tiny
Average Score:26.0%
+
+
+
+
DeepSeek-V3
Average Score:39.5%(+13.5%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek VL2 Tiny
0 providers
+
+
+
+
DeepSeek-V3
1 providers
DeepSeek
+
+
+
+
DeepSeek VL2 Tiny
Avg Score:26.0%
Providers:0
+
+
+
+
DeepSeek-V3
Avg Score:39.5%(+13.5%)
Providers:1