Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-V3 0324
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%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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 2025, it represents Google's latest advancement in AI technology.

Gemini 2.0 Flash-Lite
2025-02-05

DeepSeek-V3 0324
DeepSeek
2025-03-25
1 month newer
Performance Metrics
Context window and performance specifications

DeepSeek-V3 0324

Gemini 2.0 Flash-Lite
Average performance across 2 common benchmarks

DeepSeek-V3 0324

Gemini 2.0 Flash-Lite
Performance comparison across key benchmark categories

DeepSeek-V3 0324

Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3 0324

Gemini 2.0 Flash-Lite

DeepSeek-V3 0324

Gemini 2.0 Flash-Lite