Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 45.3% higher average benchmark score. Gemini 2.0 Flash supports multimodal inputs. Overall, Gemini 2.0 Flash is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). With a 1.1M 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.
1 month newer
Gemini 2.0 Flash
2024-12-01
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Context window and performance specifications
Average performance across 15 common benchmarks
DeepSeek R1 Distill Qwen 1.5B
Gemini 2.0 Flash
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 1.5B
Gemini 2.0 Flash
DeepSeek R1 Distill Qwen 1.5B
Gemini 2.0 Flash
DeepSeek R1 Distill Qwen 1.5B
Gemini 2.0 Flash