Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 3.7% higher average benchmark score. Gemini 2.5 Flash is available on 2 providers. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). 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 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
5 months newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Gemini 2.5 Flash
2025-05-20
Context window and performance specifications
Average performance across 27 common benchmarks
DeepSeek VL2 Small
Gemini 2.5 Flash
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
DeepSeek VL2 Small
Gemini 2.5 Flash
DeepSeek VL2 Small
Gemini 2.5 Flash
DeepSeek VL2 Small
Gemini 2.5 Flash
ZeroEval