Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 28.0% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, DeepSeek VL2 Tiny 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 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
3 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
DeepSeek-V3 0324
DeepSeek
2025-03-25
Context window and performance specifications
Average performance across 19 common benchmarks
DeepSeek VL2 Tiny
DeepSeek-V3 0324
Available providers and their performance metrics
DeepSeek VL2 Tiny
DeepSeek-V3 0324
Novita
DeepSeek VL2 Tiny
DeepSeek-V3 0324
DeepSeek VL2 Tiny
DeepSeek-V3 0324